[GigaCourse.Com] Udemy - Python Data Science with Pandas Master 12 Advanced Projects

磁力链接/BT种子名称

[GigaCourse.Com] Udemy - Python Data Science with Pandas Master 12 Advanced Projects

磁力链接/BT种子简介

种子哈希：69ddcb2cd58dbd0cec877fe10358bbd02c2b9d28
文件大小： 4.27G
已经下载：5257次
下载速度：极快
收录时间：2023-12-17
最近下载：2025-02-16

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:69DDCB2CD58DBD0CEC877FE10358BBD02C2B9D28
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 暗网禁地 91短视频 TikTok成人版 PornHub 草榴社区 乱伦社区 少女初夜 萝莉岛

最近搜索

文件列表

  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/99 - Which Factors influence House Prices.mp4 75.9 MB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/49 - Project-04-Materials.zip 73.0 MB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/136 - Project Brief for SelfCoders.mp4 71.4 MB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/126 - Transforming the Data.mp4 67.4 MB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/69 - Project-06-Materials.zip 67.4 MB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/10 - Data Import from csv file and first Inspection.mp4 66.1 MB
  • 15 - Appendix Pandas Crash Course/170 - Selecting Rows with iloc positionbased indexing.mp4 64.0 MB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/127 - Explanatory Data Analysis Risk Return & Correlations.mp4 63.5 MB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/14 - What are the most common Words in Movie Titles Taglines and Overviews.mp4 60.5 MB
  • 15 - Appendix Pandas Crash Course/177 - Analyzing Numerical Series with unique nunique and valuecounts.mp4 60.0 MB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/25 - Importing Data from JSON files.mp4 59.3 MB
  • 15 - Appendix Pandas Crash Course/174 - Slicing Rows and Columns with loc labelbased indexing.mp4 58.4 MB
  • 15 - Appendix Pandas Crash Course/163 - Create your very first Pandas DataFrame from csv.mp4 58.2 MB
  • 15 - Appendix Pandas Crash Course/185 - Data Visualization with Matplotlib.mp4 53.8 MB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/143 - Statistical Analysis and Hypothesis Testing with scipy.mp4 53.4 MB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/62 - How to load Data from DataFrames into an SQLite Database.mp4 50.6 MB
  • 15 - Appendix Pandas Crash Course/190 - splitapplycombine applied.mp4 48.9 MB
  • 1 - Getting Started/4 - How to download and install Anaconda for Python coding.mp4 47.8 MB
  • 1 - Getting Started/5 - Jupyter Notebooks let´s get started.mp4 46.2 MB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/18 - The most successful Actors Part 1.mp4 45.4 MB
  • 15 - Appendix Pandas Crash Course/165 - First Data Inspection.mp4 45.3 MB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/27 - What is an API The Movie Database API.mp4 45.0 MB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/130 - Index Tracking A simple Tracking Portfolio.mp4 45.0 MB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/82 - Project Brief for SelfCoders.mp4 44.5 MB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/89 - Visualizing Name Trends over Time.mp4 44.5 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/40 - How to flatten nested Columns.mp4 43.2 MB
  • 1 - Getting Started/6 - How to work with Jupyter Notebooks.mp4 43.1 MB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/100 - Advanced Explanatory Data Analyis with Seaborn.mp4 43.1 MB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/13 - Which Movie would you like to see next.mp4 43.0 MB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/160 - Removal of prior Version Deprecations.mp4 42.2 MB
  • 15 - Appendix Pandas Crash Course/192 - Data with DateTime Information Part 2.mp4 39.5 MB
  • 15 - Appendix Pandas Crash Course/194 - Data with DateTime Information Part 4.mp4 39.1 MB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/26 - JSON and OrientationFormats.mp4 38.0 MB
  • 1 - Getting Started/2 - Tips How to get the most out of this Course don´t skip.mp4 37.4 MB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/31 - Importing and Storing the Movies Dataset Best Practice.mp4 37.3 MB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/131 - Index Tracking The optimal Tracking Portfolio.mp4 37.0 MB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/133 - Forward Testing Part 2.mp4 36.1 MB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/54 - Cleaning and Transforming the new Cast Column.mp4 35.4 MB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/96 - Project Brief for SelfCoders.mp4 34.9 MB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/65 - Some more SQL Queries.mp4 34.8 MB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/142 - Do GDP Population and Politics matter.mp4 34.7 MB
  • 15 - Appendix Pandas Crash Course/184 - Userdefined Functions with apply map and applymap.mp4 34.7 MB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/132 - Forward Testing Part 1.mp4 34.3 MB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/28 - Working with APIs and JSON Part 1.mp4 33.6 MB
  • 15 - Appendix Pandas Crash Course/188 - Splitting with many Keys.mp4 33.3 MB
  • 15 - Appendix Pandas Crash Course/189 - splitapplycombine explained.mp4 33.1 MB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/147 - Do Traditions matter.mp4 33.0 MB
  • 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/110 - Normalizing Unicode Strings and Getting the Ticker Symbols.mp4 32.8 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/38 - How to handle stringified JSON columns Part 1.mp4 32.5 MB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/11 - The best and the worst movies Part 1.mp4 32.4 MB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/128 - Index Tracking Introduction.mp4 32.2 MB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/67 - Final Case Study.mp4 31.8 MB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/139 - Data Cleaning Part 1.mp4 31.4 MB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/97 - Data Import and first Inspection.mp4 30.8 MB
  • 1 - Getting Started/1 - Course Overview don´t skip.mp4 30.6 MB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/64 - Some simple SQL Queries.mp4 30.2 MB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/119 - More complex Strategies & Backtesting vs Fitting.mp4 30.0 MB
  • 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/109 - Web Scraping the Dow Jones Constituents.mp4 29.4 MB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/92 - Persistant vs SpikeFade Names.mp4 29.4 MB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/91 - Why does a Name´s Popularity suddenly change Part 2.mp4 29.2 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/46 - Handling Missing Values & Removing ObervationsRows.mp4 28.8 MB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/73 - Importing & merging many Files easy case.mp4 28.8 MB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/16 - What are the most successful Franchises.mp4 28.7 MB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/117 - Backtesting a simple Momentum Strategy.mp4 28.0 MB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/144 - Aggregating and Ranking.mp4 27.9 MB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/93 - Most Popular Unisex Names.mp4 27.9 MB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/55 - Cleaning and Transforming the new Crew Column.mp4 27.7 MB
  • 15 - Appendix Pandas Crash Course/166 - Builtin Functions Attributes and Methods with Pandas.mp4 27.7 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/41 - How to clean Numerical Columns Part 1.mp4 27.6 MB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/121 - Backtesting Simple Moving Averages SMA Strategies.mp4 27.6 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/35 - Project Brief for SelfCoders.mp4 27.5 MB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/30 - Working with APIs and JSON Part 2.mp4 26.8 MB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/141 - What are the most successful countries of all times.mp4 26.5 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/44 - How to clean String Text Columns.mp4 26.1 MB
  • 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/112 - Loading and Saving Historical Stock Prices.mp4 25.9 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/42 - How to clean Numerical Columns Part 2.mp4 25.7 MB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/138 - Merging and Concatenating.mp4 25.6 MB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/19 - The most successful Actors Part 2.mp4 25.6 MB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/98 - Data Cleaning and Creating additional Features.mp4 25.5 MB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/157 - The NEW StringDtype.mp4 25.5 MB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/125 - Importing & Merging the Data.mp4 25.2 MB
  • 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/111 - Download and Installation of an API Wrapper Package.mp4 25.0 MB
  • 15 - Appendix Pandas Crash Course/180 - Filtering DataFrames by one Condition.mp4 24.7 MB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/129 - Index Tracking Selecting the Tracking Stocks.mp4 24.5 MB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/104 - Training the ML Model Random Forest.mp4 24.4 MB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/145 - Summer Games vs Winter Games does Geographical Location matter.mp4 24.3 MB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/66 - Join Queries.mp4 23.9 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/34 - Project-03-Materials.zip 23.8 MB
  • 15 - Appendix Pandas Crash Course/187 - Understanding the GroupBy Object.mp4 23.2 MB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/155 - NEW pdNA value for missing values.mp4 23.2 MB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/60 - Project Brief for SelfCoders.mp4 23.2 MB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/12 - The best and the worst movies Part 2.mp4 23.0 MB
  • 15 - Appendix Pandas Crash Course/164 - Pandas Display Options and the methods head & tail.mp4 23.0 MB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/17 - The most successful Directors.mp4 22.8 MB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/116 - Data Visualization & Returns.mp4 22.1 MB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/90 - Why does a Name´s Popularity suddenly change Part 1.mp4 21.7 MB
  • 15 - Appendix Pandas Crash Course/167 - Selecting Columns.mp4 21.6 MB
  • 15 - Appendix Pandas Crash Course/191 - Data with DateTime Information Part 1.mp4 20.8 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/47 - Final Steps.mp4 20.7 MB
  • 15 - Appendix Pandas Crash Course/171 - Slicing Rows and Columns with iloc positionbased indexing.mp4 20.0 MB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/154 - Creating the NEW extension dtypes with convertdtypes.mp4 20.0 MB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/15 - Are Franchises more successful.mp4 20.0 MB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/151 - Important Recap Pandas Display Options Changed in Version 025.mp4 19.9 MB
  • 15 - Appendix Pandas Crash Course/178 - Analyzing nonnumerical Series with unique nunique valuecounts.mp4 19.8 MB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/51 - Getting the Datasets.mp4 18.6 MB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/72 - Importing one File & Understanding the Data Structure easy case.mp4 18.6 MB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/88 - Creating the Features Popularity and Rank.mp4 18.3 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/45 - How to remove Duplicates.mp4 17.9 MB
  • 15 - Appendix Pandas Crash Course/179 - Sorting of Series and Introduction to the inplace parameter.mp4 17.8 MB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/103 - Splitting the Data into Train and Test Set.mp4 17.6 MB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/63 - How to load Data from SQLite Databases into DataFrames.mp4 17.3 MB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/122 - Backtesting the Perfect Strategy in case you can predict the future.mp4 17.1 MB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/140 - Data Cleaning Part 2.mp4 17.1 MB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/85 - Advanced Data Aggregation.mp4 16.9 MB
  • 15 - Appendix Pandas Crash Course/183 - Creating Columns based on other Columns.mp4 16.8 MB
  • 15 - Appendix Pandas Crash Course/193 - Data with DateTime Information Part 3.mp4 16.3 MB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/153 - NEW Extension dtypes nullable dtypes Why do we need them.mp4 16.3 MB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/101 - Feature Engineering Part 1.mp4 16.3 MB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/156 - The NEW nullable Int64Dtype.mp4 16.2 MB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/8 - Project-01-Materials.zip 15.9 MB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/87 - General Trends over Time 1880 2018.mp4 15.8 MB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/146 - Men vs Women do Culture & Religion matter.mp4 15.7 MB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/118 - Backtesting a simple Contrarian Strategy.mp4 15.7 MB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/7 - Project Overview.mp4 15.5 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/39 - How to handle stringified JSON columns Part 2.mp4 15.5 MB
  • 15 - Appendix Pandas Crash Course/176 - First Steps with Pandas Series.mp4 15.0 MB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/9 - Project Brief for SelfCoders.mp4 14.9 MB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/53 - Merging the Data Left Join.mp4 14.6 MB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/137 - Data Import and first Inspection.mp4 14.5 MB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/75 - Project Brief for SelfCoders Part 2.mp4 14.4 MB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/159 - Addition of the ignoreindex parameter.mp4 14.0 MB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/120 - Simple Moving Averages SMA.mp4 13.9 MB
  • 15 - Appendix Pandas Crash Course/182 - Filtering DataFrames by many Conditions OR.mp4 13.6 MB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/158 - The NEW nullable BooleanDtype.mp4 13.4 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/36 - First Steps.mp4 13.3 MB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/105 - Evaluating the Model on the Test Set.mp4 13.1 MB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/24 - Project Brief for SelfCoders.mp4 12.9 MB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/83 - First Inspection The most popular Names in 2018.mp4 12.8 MB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/32 - Importing and Storing the Movies Dataset Real World Scenario.mp4 12.5 MB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/115 - Importing the Data.mp4 12.5 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/43 - How to clean Columns with DateTime Information.mp4 12.2 MB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/86 - What are the most popular Names of all Times.mp4 12.1 MB
  • 15 - Appendix Pandas Crash Course/173 - Selecting Rows with loc labelbased indexing.mp4 11.8 MB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/70 - Project Brief for SelfCoders Part 1.mp4 11.6 MB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/148 - Intro and Overview.mp4 11.6 MB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/102 - Feature Engineering Part 2.mp4 11.5 MB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/50 - Project Brief for SelfCoders.mp4 11.3 MB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/58 - What is a Database SQL.mp4 11.1 MB
  • 15 - Appendix Pandas Crash Course/161 - Intro to Tabular Data Pandas.mp4 11.0 MB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/61 - How to create an SQLite Database.mp4 10.7 MB
  • 15 - Appendix Pandas Crash Course/181 - Filtering DataFrames by many Conditions AND.mp4 10.4 MB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/8 - Downloads Project 1.mp4 10.3 MB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/77 - The glob module.mp4 9.9 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/37 - Dropping irrelevant Columns.mp4 9.5 MB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/123 - Project Overview.mp4 9.4 MB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/81 - Project-07-Materials.zip 9.1 MB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/84 - Evergreen Names 1880 2018.mp4 8.4 MB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/78 - Importing & merging many Files complex case.mp4 8.3 MB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/71 - Getting the Data from the Web.mp4 8.1 MB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/152 - Info method new and extended output.mp4 7.9 MB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/29 - How to work with your own APIKEY.mp4 7.1 MB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/52 - Preparing the Data for Merge.mp4 7.0 MB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/79 - Excursus Saving Memory Categorical Features.mp4 6.6 MB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/21 - Project Overview.mp4 6.3 MB
  • 15 - Appendix Pandas Crash Course/169 - Zerobased Indexing and Negative Indexing.mp4 6.3 MB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/106 - Feature Importance.mp4 6.2 MB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/22 - What is JSON.mp4 6.1 MB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/76 - Importing one File & Understanding the Data Structure complex case.mp4 5.5 MB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/74 - Final Steps.mp4 4.7 MB
  • 15 - Appendix Pandas Crash Course/168 - Selecting one Column with the dot notation.mp4 4.5 MB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/134 - Project Overview.mp4 4.5 MB
  • 15 - Appendix Pandas Crash Course/186 - GroupBy an Introduction.mp4 4.2 MB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/56 - Final Steps.mp4 3.6 MB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/94 - Project Overview.mp4 3.4 MB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/33 - Project Overview.mp4 3.0 MB
  • 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/107 - Project Overview.mp4 3.0 MB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/57 - Project Overview.mp4 2.5 MB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/80 - Project Overview.mp4 2.4 MB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/48 - Project Overview.mp4 2.1 MB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/68 - Project Overview.mp4 2.0 MB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/113 - Project Overview.mp4 2.0 MB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/95 - Project-08-Materials.zip 1.6 MB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/135 - Project-12-Materials.zip 1.0 MB
  • 15 - Appendix Pandas Crash Course/162 - Appendix-Materials.zip 640.8 kB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/124 - Project-11-Materials.zip 464.4 kB
  • 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/108 - Project-09-Materials.zip 462.4 kB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/22 - API-JSON.pdf 431.0 kB
  • 15 - Appendix Pandas Crash Course/169 - positions.pdf 198.8 kB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/114 - Project-10-Materials.zip 81.5 kB
  • 15 - Appendix Pandas Crash Course/172 - pandas-iloc.pdf 73.7 kB
  • 15 - Appendix Pandas Crash Course/175 - Pandas-loc.pdf 69.4 kB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/150 - Course-Materials-Version-1-0.zip 28.0 kB
  • 1 - Getting Started/6 - How to work with Jupyter Notebooks English.vtt 15.5 kB
  • 15 - Appendix Pandas Crash Course/184 - Userdefined Functions with apply map and applymap English.vtt 15.0 kB
  • 15 - Appendix Pandas Crash Course/177 - Analyzing Numerical Series with unique nunique and valuecounts English.vtt 14.7 kB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/99 - Which Factors influence House Prices English.vtt 14.1 kB
  • 16 - What´s next outlook and additional resources/195 - Bonus Lecture.html 13.9 kB
  • 15 - Appendix Pandas Crash Course/165 - First Data Inspection English.vtt 13.0 kB
  • 15 - Appendix Pandas Crash Course/190 - splitapplycombine applied English.vtt 12.9 kB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/59 - Project-05-Materials.zip 12.3 kB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/25 - Importing Data from JSON files English.vtt 12.2 kB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/143 - Statistical Analysis and Hypothesis Testing with scipy English.vtt 11.7 kB
  • 15 - Appendix Pandas Crash Course/180 - Filtering DataFrames by one Condition English.vtt 11.5 kB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/23 - Project-02-Materials.zip 11.4 kB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/73 - Importing & merging many Files easy case English.vtt 11.1 kB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/117 - Backtesting a simple Momentum Strategy English.vtt 10.9 kB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/142 - Do GDP Population and Politics matter English.vtt 10.9 kB
  • 15 - Appendix Pandas Crash Course/189 - splitapplycombine explained English.vtt 10.9 kB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/100 - Advanced Explanatory Data Analyis with Seaborn English.vtt 10.7 kB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/10 - Data Import from csv file and first Inspection English.vtt 10.5 kB
  • 15 - Appendix Pandas Crash Course/170 - Selecting Rows with iloc positionbased indexing English.vtt 10.5 kB
  • 15 - Appendix Pandas Crash Course/174 - Slicing Rows and Columns with loc labelbased indexing English.vtt 10.4 kB
  • 15 - Appendix Pandas Crash Course/192 - Data with DateTime Information Part 2 English.vtt 10.1 kB
  • 1 - Getting Started/5 - Jupyter Notebooks let´s get started English.vtt 10.1 kB
  • 15 - Appendix Pandas Crash Course/179 - Sorting of Series and Introduction to the inplace parameter English.vtt 9.8 kB
  • 15 - Appendix Pandas Crash Course/185 - Data Visualization with Matplotlib English.vtt 9.8 kB
  • 15 - Appendix Pandas Crash Course/166 - Builtin Functions Attributes and Methods with Pandas English.vtt 9.6 kB
  • 15 - Appendix Pandas Crash Course/163 - Create your very first Pandas DataFrame from csv English.vtt 9.5 kB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/11 - The best and the worst movies Part 1 English.vtt 9.1 kB
  • 15 - Appendix Pandas Crash Course/187 - Understanding the GroupBy Object English.vtt 9.0 kB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/126 - Transforming the Data English.vtt 8.8 kB
  • 15 - Appendix Pandas Crash Course/191 - Data with DateTime Information Part 1 English.vtt 8.8 kB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/18 - The most successful Actors Part 1 English.vtt 8.7 kB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/127 - Explanatory Data Analysis Risk Return & Correlations English.vtt 8.5 kB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/89 - Visualizing Name Trends over Time English.vtt 8.4 kB
  • 1 - Getting Started/4 - How to download and install Anaconda for Python coding English.vtt 8.2 kB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/40 - How to flatten nested Columns English.vtt 8.1 kB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/141 - What are the most successful countries of all times English.vtt 8.1 kB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/27 - What is an API The Movie Database API English.vtt 8.1 kB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/13 - Which Movie would you like to see next English.vtt 8.0 kB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/82 - Project Brief for SelfCoders English.vtt 8.0 kB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/136 - Project Brief for SelfCoders English.vtt 7.8 kB
  • 15 - Appendix Pandas Crash Course/178 - Analyzing nonnumerical Series with unique nunique valuecounts English.vtt 7.7 kB
  • 15 - Appendix Pandas Crash Course/183 - Creating Columns based on other Columns English.vtt 7.6 kB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/62 - How to load Data from DataFrames into an SQLite Database English.vtt 7.4 kB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/103 - Splitting the Data into Train and Test Set English.vtt 7.4 kB
  • 15 - Appendix Pandas Crash Course/194 - Data with DateTime Information Part 4 English.vtt 7.4 kB
  • 15 - Appendix Pandas Crash Course/188 - Splitting with many Keys English.vtt 7.4 kB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/90 - Why does a Name´s Popularity suddenly change Part 1 English.vtt 7.3 kB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/38 - How to handle stringified JSON columns Part 1 English.vtt 7.3 kB
  • 15 - Appendix Pandas Crash Course/164 - Pandas Display Options and the methods head & tail English.vtt 7.1 kB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/35 - Project Brief for SelfCoders English.vtt 7.0 kB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/15 - Are Franchises more successful English.vtt 6.9 kB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/31 - Importing and Storing the Movies Dataset Best Practice English.vtt 6.8 kB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/46 - Handling Missing Values & Removing ObervationsRows English.vtt 6.8 kB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/93 - Most Popular Unisex Names English.vtt 6.8 kB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/130 - Index Tracking A simple Tracking Portfolio English.vtt 6.8 kB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/28 - Working with APIs and JSON Part 1 English.vtt 6.7 kB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/147 - Do Traditions matter English.vtt 6.7 kB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/64 - Some simple SQL Queries English.vtt 6.7 kB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/160 - Removal of prior Version Deprecations English.vtt 6.6 kB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/133 - Forward Testing Part 2 English.vtt 6.6 kB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/155 - NEW pdNA value for missing values English.vtt 6.6 kB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/65 - Some more SQL Queries English.vtt 6.5 kB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/119 - More complex Strategies & Backtesting vs Fitting English.vtt 6.4 kB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/139 - Data Cleaning Part 1 English.vtt 6.4 kB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/97 - Data Import and first Inspection English.vtt 6.4 kB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/131 - Index Tracking The optimal Tracking Portfolio English.vtt 6.3 kB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/14 - What are the most common Words in Movie Titles Taglines and Overviews English.vtt 6.3 kB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/85 - Advanced Data Aggregation English.vtt 6.3 kB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/12 - The best and the worst movies Part 2 English.vtt 6.2 kB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/96 - Project Brief for SelfCoders English.vtt 6.2 kB
  • 1 - Getting Started/2 - Tips How to get the most out of this Course don´t skip English.vtt 6.2 kB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/88 - Creating the Features Popularity and Rank English.vtt 6.1 kB
  • 15 - Appendix Pandas Crash Course/193 - Data with DateTime Information Part 3 English.vtt 6.1 kB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/67 - Final Case Study English.vtt 5.9 kB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/121 - Backtesting Simple Moving Averages SMA Strategies English.vtt 5.9 kB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/98 - Data Cleaning and Creating additional Features English.vtt 5.8 kB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/128 - Index Tracking Introduction English.vtt 5.8 kB
  • 15 - Appendix Pandas Crash Course/167 - Selecting Columns English.vtt 5.8 kB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/26 - JSON and OrientationFormats English.vtt 5.8 kB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/151 - Important Recap Pandas Display Options Changed in Version 025 English.vtt 5.7 kB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/157 - The NEW StringDtype English.vtt 5.7 kB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/91 - Why does a Name´s Popularity suddenly change Part 2 English.vtt 5.5 kB
  • 1 - Getting Started/1 - Course Overview don´t skip English.vtt 5.5 kB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/140 - Data Cleaning Part 2 English.vtt 5.5 kB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/41 - How to clean Numerical Columns Part 1 English.vtt 5.5 kB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/104 - Training the ML Model Random Forest English.vtt 5.4 kB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/144 - Aggregating and Ranking English.vtt 5.3 kB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/42 - How to clean Numerical Columns Part 2 English.vtt 5.3 kB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/9 - Project Brief for SelfCoders English.vtt 5.3 kB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/16 - What are the most successful Franchises English.vtt 5.3 kB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/87 - General Trends over Time 1880 2018 English.vtt 5.2 kB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/132 - Forward Testing Part 1 English.vtt 5.2 kB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/66 - Join Queries English.vtt 5.2 kB
  • 15 - Appendix Pandas Crash Course/182 - Filtering DataFrames by many Conditions OR English.vtt 5.1 kB
  • 15 - Appendix Pandas Crash Course/161 - Intro to Tabular Data Pandas English.vtt 5.1 kB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/116 - Data Visualization & Returns English.vtt 5.0 kB
  • 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/110 - Normalizing Unicode Strings and Getting the Ticker Symbols English.vtt 5.0 kB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/153 - NEW Extension dtypes nullable dtypes Why do we need them English.vtt 5.0 kB
  • 15 - Appendix Pandas Crash Course/181 - Filtering DataFrames by many Conditions AND English.vtt 4.9 kB
  • 15 - Appendix Pandas Crash Course/171 - Slicing Rows and Columns with iloc positionbased indexing English.vtt 4.9 kB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/102 - Feature Engineering Part 2 English.vtt 4.9 kB
  • 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/112 - Loading and Saving Historical Stock Prices English.vtt 4.8 kB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/158 - The NEW nullable BooleanDtype English.vtt 4.8 kB
  • 1 - Getting Started/3 - FAQ Your Questions answered.html 4.8 kB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/72 - Importing one File & Understanding the Data Structure easy case English.vtt 4.8 kB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/19 - The most successful Actors Part 2 English.vtt 4.7 kB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/138 - Merging and Concatenating English.vtt 4.7 kB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/120 - Simple Moving Averages SMA English.vtt 4.7 kB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/58 - What is a Database SQL English.vtt 4.7 kB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/145 - Summer Games vs Winter Games does Geographical Location matter English.vtt 4.6 kB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/54 - Cleaning and Transforming the new Cast Column English.vtt 4.5 kB
  • 15 - Appendix Pandas Crash Course/176 - First Steps with Pandas Series English.vtt 4.4 kB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/17 - The most successful Directors English.vtt 4.4 kB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/154 - Creating the NEW extension dtypes with convertdtypes English.vtt 4.3 kB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/137 - Data Import and first Inspection English.vtt 4.3 kB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/77 - The glob module English.vtt 4.2 kB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/159 - Addition of the ignoreindex parameter English.vtt 4.1 kB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/45 - How to remove Duplicates English.vtt 4.1 kB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/55 - Cleaning and Transforming the new Crew Column English.vtt 4.1 kB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/60 - Project Brief for SelfCoders English.vtt 4.1 kB
  • 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/109 - Web Scraping the Dow Jones Constituents English.vtt 4.0 kB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/61 - How to create an SQLite Database English.vtt 4.0 kB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/47 - Final Steps English.vtt 4.0 kB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/30 - Working with APIs and JSON Part 2 English.vtt 3.9 kB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/92 - Persistant vs SpikeFade Names English.vtt 3.9 kB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/83 - First Inspection The most popular Names in 2018 English.vtt 3.8 kB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/156 - The NEW nullable Int64Dtype English.vtt 3.8 kB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/24 - Project Brief for SelfCoders English.vtt 3.7 kB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/8 - Downloads Project 1 English.vtt 3.6 kB
  • 15 - Appendix Pandas Crash Course/169 - Zerobased Indexing and Negative Indexing English.vtt 3.6 kB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/53 - Merging the Data Left Join English.vtt 3.6 kB
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/146 - Men vs Women do Culture & Religion matter English.vtt 3.6 kB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/129 - Index Tracking Selecting the Tracking Stocks English.vtt 3.5 kB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/63 - How to load Data from SQLite Databases into DataFrames English.vtt 3.5 kB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/118 - Backtesting a simple Contrarian Strategy English.vtt 3.5 kB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/101 - Feature Engineering Part 1 English.vtt 3.5 kB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/39 - How to handle stringified JSON columns Part 2 English.vtt 3.5 kB
  • 15 - Appendix Pandas Crash Course/173 - Selecting Rows with loc labelbased indexing English.vtt 3.5 kB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/122 - Backtesting the Perfect Strategy in case you can predict the future English.vtt 3.4 kB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/50 - Project Brief for SelfCoders English.vtt 3.4 kB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/71 - Getting the Data from the Web English.vtt 3.3 kB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/125 - Importing & Merging the Data English.vtt 3.3 kB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/22 - What is JSON English.vtt 3.2 kB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/44 - How to clean String Text Columns English.vtt 3.2 kB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/105 - Evaluating the Model on the Test Set English.vtt 3.1 kB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/36 - First Steps English.vtt 3.1 kB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/32 - Importing and Storing the Movies Dataset Real World Scenario English.vtt 3.0 kB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/84 - Evergreen Names 1880 2018 English.vtt 2.9 kB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/115 - Importing the Data English.vtt 2.9 kB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/78 - Importing & merging many Files complex case English.vtt 2.9 kB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/75 - Project Brief for SelfCoders Part 2 English.vtt 2.9 kB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/79 - Excursus Saving Memory Categorical Features English.vtt 2.6 kB
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/86 - What are the most popular Names of all Times English.vtt 2.6 kB
  • 15 - Appendix Pandas Crash Course/168 - Selecting one Column with the dot notation English.vtt 2.6 kB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/106 - Feature Importance English.vtt 2.6 kB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/76 - Importing one File & Understanding the Data Structure complex case English.vtt 2.4 kB
  • 15 - Appendix Pandas Crash Course/186 - GroupBy an Introduction English.vtt 2.4 kB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/51 - Getting the Datasets English.vtt 2.4 kB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/37 - Dropping irrelevant Columns English.vtt 2.4 kB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/52 - Preparing the Data for Merge English.vtt 2.4 kB
  • 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/111 - Download and Installation of an API Wrapper Package English.vtt 2.4 kB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/148 - Intro and Overview English.vtt 2.3 kB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/43 - How to clean Columns with DateTime Information English.vtt 2.2 kB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/70 - Project Brief for SelfCoders Part 1 English.vtt 2.2 kB
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/152 - Info method new and extended output English.vtt 2.0 kB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/21 - Project Overview English.vtt 2.0 kB
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/74 - Final Steps English.vtt 1.9 kB
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/29 - How to work with your own APIKEY English.vtt 1.7 kB
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/33 - Project Overview English.vtt 1.4 kB
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/94 - Project Overview English.vtt 1.3 kB
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/123 - Project Overview English.vtt 1.3 kB
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/7 - Project Overview English.vtt 1.3 kB
  • 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/107 - Project Overview English.vtt 1.3 kB
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/56 - Final Steps English.vtt 1.1 kB
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/57 - Project Overview English.vtt 1.0 kB
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/113 - Project Overview English.vtt 932 Bytes
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/80 - Project Overview English.vtt 884 Bytes
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/48 - Project Overview English.vtt 859 Bytes
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/134 - Project Overview English.vtt 846 Bytes
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/68 - Project Overview English.vtt 792 Bytes
  • 2 - Project 1 Explanatory Data Analysis & Data Presentation Movies Dataset/20 - Now it´s your turn Homework.html 643 Bytes
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/150 - Downloads for this Section.html 137 Bytes
  • 15 - Appendix Pandas Crash Course/162 - Downloads for this Section.html 137 Bytes
  • 14 - Extra Project Prepare yourself for the Future Pandas Version 10/149 - How to update Pandas to Version 10.html 136 Bytes
  • 11 - Project 10 Finance Stack Backtesting Investment Strategies US Stocks/114 - Downloads Project 10.html 135 Bytes
  • 12 - Project 11 Finance Stack Index Tracking and Forward Testing US Stocks/124 - Downloads Project 11.html 135 Bytes
  • 13 - Project 12 Explanatory Data Analysis and Seaborn Visualization Olympic Games/135 - Downloads Project 12.html 135 Bytes
  • 10 - Project 9 Data Import Web Scraping APIs & Wrappers US Stocks/108 - Downloads Project 9.html 134 Bytes
  • 3 - Project 2 Data Import Working with APIs and JSON Movies Dataset/23 - Downloads Project 2.html 134 Bytes
  • 4 - Project 3 Data Cleaning Tidy up messy Datasets Movies Dataset/34 - Downloads Project 3.html 134 Bytes
  • 5 - Project 4 Merging Cleaning & Transforming Data Movies Dataset/49 - Downloads Project 4.html 134 Bytes
  • 6 - Project 5 Working with Pandas and SQL Databases Movies Dataset/59 - Downloads Project 5.html 134 Bytes
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/69 - Downloads Project 6.html 134 Bytes
  • 8 - Project 7 Explanatory Data Analysis & Advanced Visualization Baby Names/81 - Downloads Project 7.html 134 Bytes
  • 9 - Project 8 Data Preprocessing & Feature Engineering for Machine Learning/95 - Downloads Project 8.html 134 Bytes
  • 0. Websites you may like/[CourseClub.Me].url 122 Bytes
  • 1 - Getting Started/[CourseClub.Me].url 122 Bytes
  • 15 - Appendix Pandas Crash Course/[CourseClub.Me].url 122 Bytes
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/[CourseClub.Me].url 122 Bytes
  • [CourseClub.Me].url 122 Bytes
  • 0. Websites you may like/[GigaCourse.Com].url 49 Bytes
  • 1 - Getting Started/[GigaCourse.Com].url 49 Bytes
  • 15 - Appendix Pandas Crash Course/[GigaCourse.Com].url 49 Bytes
  • 7 - Project 6 Importing & Concatenating many files Baby Names Dataset/[GigaCourse.Com].url 49 Bytes
  • [GigaCourse.Com].url 49 Bytes
  • 15 - Appendix Pandas Crash Course/172 - Positionbased Indexing Cheat Sheets.html 41 Bytes
  • 15 - Appendix Pandas Crash Course/175 - Labelbased Indexing Cheat Sheets.html 41 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！
>