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Complete 2020 Data Science & Machine Learning Bootcamp

  • Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.4 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.7 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 179.8 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.mp4 178.2 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4 176.8 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 164.4 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4 162.9 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.mp4 160.7 MB
  • Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4 160.4 MB
[磁力链接] 添加时间:2021-04-03 大小:15.9 GB 最近下载:2025-09-16 热度:852

[FreeCourseSite.com] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
  • 5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
  • 12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
  • 3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
  • 12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
  • 5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
  • 11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
  • 8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
  • 8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
  • 4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
  • 12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
  • 12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4 196.5 MB
  • 12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
  • 12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB
[磁力链接] 添加时间:2021-04-04 大小:18.4 GB 最近下载:2025-07-27 热度:1179

[UdemyCourseDownloader] Complete Data Science & Machine Learning Bootcamp – Python 3

  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
  • 05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
  • 03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.4 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.7 MB
  • 05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
  • 11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
  • 08. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
  • 08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
  • 03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 179.8 MB
  • 05. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4 176.8 MB
  • 03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 164.4 MB
  • 11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4 162.9 MB
  • 03. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.mp4 160.7 MB
  • 05. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4 160.4 MB
  • 05. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.mp4 160.1 MB
[磁力链接] 添加时间:2021-04-07 大小:15.2 GB 最近下载:2025-09-15 热度:375

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25 Neural Nets and Deep Learning/151 Tensorboard.mp4 151.2 MB
  • 25 Neural Nets and Deep Learning/144 Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25 Neural Nets and Deep Learning/136 TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25 Neural Nets and Deep Learning/147 Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25 Neural Nets and Deep Learning/141 TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25 Neural Nets and Deep Learning/145 Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 26 Big Data and Spark with Python/158 EC2 Instance Set-Up.mp4 90.7 MB
  • 25 Neural Nets and Deep Learning/146 Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25 Neural Nets and Deep Learning/134 TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14 Introduction to Machine Learning/078 Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25 Neural Nets and Deep Learning/143 TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 02 Environment Set-Up/004 Python Environment Setup.mp4 80.1 MB
  • 25 Neural Nets and Deep Learning/137 TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25 Neural Nets and Deep Learning/130 Cost Functions and Gradient Descent.mp4 79.7 MB
  • 18 K Nearest Neighbors/097 KNN Project Solutions.mp4 74.3 MB
  • 26 Big Data and Spark with Python/163 RDD Transformations and Actions.mp4 74.2 MB
  • 26 Big Data and Spark with Python/160 PySpark Setup.mp4 74.0 MB
  • 25 Neural Nets and Deep Learning/139 TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25 Neural Nets and Deep Learning/135 TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25 Neural Nets and Deep Learning/150 Keras Project Solutions - Model Evaluation.mp4 66.2 MB
[磁力链接] 添加时间:2021-04-09 大小:6.1 GB 最近下载:2025-07-16 热度:610

[DesireCourse.Com] Udemy - Data Science and Machine Learning Bootcamp with R

  • 18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
  • 19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
  • 21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
  • 23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
  • 14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
  • 20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
  • 33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
  • 20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
  • 15. Data Visualization with R/2. Histograms.mp4 47.8 MB
  • 1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
  • 24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
  • 22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
  • 15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
  • 12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
  • 32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
  • 12. R Programming Basics/8. Functions.mp4 36.8 MB
  • 18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.7 MB
  • 9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB
[磁力链接] 添加时间:2021-04-10 大小:2.6 GB 最近下载:2025-09-24 热度:2638

[DesireCourse.Net] Udemy - The Complete Pandas Bootcamp 2020 Data Science with Python

  • 23. Python Basics/7. Data Types Lists (Part 2).mp4 140.9 MB
  • 11. Cleaning Data/17. Coding Exercise 11 (Solution).mp4 136.0 MB
  • 17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/4. Olympic Medal Tables (Solution Part 2).mp4 135.0 MB
  • 23. Python Basics/18. Visualization with Matplotlib.mp4 130.3 MB
  • 19. Time Series Basics/5. Creating a customized DatetimeIndex with pd.date_range().mp4 120.2 MB
  • 8. Visualization with Matplotlib/3. Customization of Plots.mp4 108.0 MB
  • 14. Reshaping and Pivoting DataFrames/6. pd.crosstab().mp4 104.3 MB
  • 12. Merging, Joining, and Concatenating Data/13. Joining on different Column Names Indexes.mp4 100.0 MB
  • 25. Statistical Concepts/1. Statistics - Overview, Terms and Vocabulary.mp4 97.9 MB
  • 10. Importing Data/1. Importing csv-files with pd.read_csv.mp4 95.4 MB
  • 11. Cleaning Data/5. Detection of missing Values.mp4 93.7 MB
  • 11. Cleaning Data/10. Handling Removing Duplicates.srt 93.0 MB
  • 11. Cleaning Data/10. Handling Removing Duplicates.mp4 93.0 MB
  • 12. Merging, Joining, and Concatenating Data/2. Adding Rows with append() and pd.concat() (Part 1).mp4 92.3 MB
  • 1. Getting Started/5. Installation of Anaconda.mp4 90.5 MB
  • 23. Python Basics/11. Conditional Statements (if, elif, else, while).mp4 90.2 MB
  • 19. Time Series Basics/7. Downsampling Time Series with resample() (Part 1).mp4 89.7 MB
  • 11. Cleaning Data/6. Removing missing values.mp4 89.6 MB
  • 15. Data Preparation and Feature Creation/8. Discretization and Binning with pd.qcut().mp4 89.5 MB
  • 16. Advanced Visualization with Seaborn/3. Categorical Plots.mp4 89.3 MB
[磁力链接] 添加时间:2021-04-10 大小:12.0 GB 最近下载:2025-09-22 热度:1609

[FreeCourseSite.com] Udemy - Data Science and Machine Learning Bootcamp with R

  • 4. Mac OS Installation Set-Up/1. Mac OS Installation Procedure.mp4 74.9 MB
  • 18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 66.4 MB
  • 19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 62.6 MB
  • 21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 62.4 MB
  • 14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 60.5 MB
  • 15. Data Visualization with R/2. Histograms.mp4 59.7 MB
  • 23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 59.0 MB
  • 20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 58.3 MB
  • 33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 57.4 MB
  • 20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 56.6 MB
  • 22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 49.9 MB
  • 24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 49.0 MB
  • 21. Machine Learning Project - Linear Regression/1. Introduction to Linear Regression Project.mp4 48.8 MB
  • 22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 48.6 MB
  • 1. Course Introduction/4.1 R-Course-HTML-Notes.zip 47.8 MB
  • 6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip 47.8 MB
  • 18. Capstone Data Project/1. Introduction to Capstone Project.mp4 47.7 MB
  • 15. Data Visualization with R/3. Scatterplots.mp4 47.4 MB
  • 12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 45.5 MB
  • 32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 44.9 MB
[磁力链接] 添加时间:2021-04-28 大小:3.1 GB 最近下载:2025-08-11 热度:541

[ FreeCourseWeb.com ] Udemy - KNIME Analytics Bootcamp - ETL Tools for Data Science.zip

  • [ FreeCourseWeb.com ] Udemy - KNIME Analytics Bootcamp - ETL Tools for Data Science.zip 1.5 GB
[磁力链接] 添加时间:2021-04-29 大小:1.5 GB 最近下载:2025-09-06 热度:1271

[DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2021-04-30 大小:5.5 GB 最近下载:2023-12-28 热度:7

[Tutorialsplanet.NET] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
  • 26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
  • 26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
  • 25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
  • 25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
  • 2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.1 MB
  • 1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
  • 3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
  • 9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
  • 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
  • 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
  • 24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
  • 20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
  • 13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
  • 21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB
[磁力链接] 添加时间:2021-05-01 大小:4.1 GB 最近下载:2025-09-18 热度:746

GetFreeCourses.Co-Udemy-Complete 2020 Data Science & Machine Learning Bootcamp.zip

  • GetFreeCourses.Co-Udemy-Complete 2020 Data Science & Machine Learning Bootcamp.zip 18.1 GB
[磁力链接] 添加时间:2021-05-10 大小:18.1 GB 最近下载:2025-09-11 热度:970

[UdemyCourseDownloader] Data Science and Machine Learning Bootcamp with R

  • 18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
  • 19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
  • 21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
  • 23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
  • 14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
  • 20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
  • 33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
  • 20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
  • 15. Data Visualization with R/2. Histograms.mp4 47.8 MB
  • 01. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 06. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
  • 24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
  • 22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
  • 15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
  • 12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
  • 32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
  • 12. R Programming Basics/8. Functions.mp4 36.8 MB
  • 18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.7 MB
  • 09. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB
[磁力链接] 添加时间:2021-05-21 大小:2.6 GB 最近下载:2025-05-24 热度:205

365 Data Science - The Python Programmer Bootcamp [CoursesGhar]

  • 1. Course introduction/2. Why code and why Python.mp4 731.6 MB
  • 10. General tips/1. General tips.mp4 522.8 MB
  • 5. Conditionals/5. More on strings.mp4 285.8 MB
  • 2. Setting up the environment/2. Introducing Spyder.mp4 285.0 MB
  • 3. Python basics + Hands-on coding/1. PRINT function.mp4 279.5 MB
  • 11. Big O/1. Big_O.mp4 263.2 MB
  • 5. Conditionals/1. Intro to conditionals.mp4 260.2 MB
  • 2. Setting up the environment/1. Installing Anaconda.mp4 236.7 MB
  • 5. Conditionals/6. More strings!.mp4 233.7 MB
  • 1. Course introduction/1. What does the course cover.mp4 230.4 MB
  • 5. Conditionals/4. IF statement.mp4 220.4 MB
  • 7. Dictionaries/7. Import counters (1_2).mp4 219.4 MB
  • 14. Advanced Python_ Stacks/1. Intro to stacks.mp4 209.8 MB
  • 15. Search and sort/4. Insertion sort.mp4 194.5 MB
  • 21. Farewell/1. Farewell.mp4 194.1 MB
  • 14. Advanced Python_ Stacks/3. Practical challenge - stacks.mp4 140.0 MB
  • 15. Search and sort/3. Binary search.mp4 137.8 MB
  • 6. For loops/4. The power of lists and loops and working together.mp4 137.1 MB
  • 12. Advanced Python_ Caesar two sum/2. Caesar cipher.mp4 127.4 MB
  • 5. Conditionals/7. Practice challenge.mp4 124.3 MB
[磁力链接] 添加时间:2022-01-09 大小:8.8 GB 最近下载:2025-09-25 热度:1561

Complete 2020 Data Science and Machine Learning Bootcamp [UdemyLibrary.com]

  • Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
  • Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
  • Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
  • Course/5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
  • Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
  • Course/12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
  • Course/3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
  • Course/12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
  • Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
  • Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
  • Course/5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
  • Course/11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
  • Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
  • Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
  • Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
  • Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
  • Course/12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
  • Course/12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4 196.5 MB
  • Course/12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
  • Course/12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB
[磁力链接] 添加时间:2022-01-09 大小:18.4 GB 最近下载:2025-09-24 热度:1694

50-Days 50-Projects Data Science, Machine Learning Bootcamp

  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/21. Project-20 Book Genre Classification App -Deploy On Amazon Web Services/8. Deploying model on AWS EC2 instance.mp4 315.7 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/26. Project-25 Cats Vs Dogs Classification Flask App/2. Creating Project Notebook.mp4 256.1 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/28. Project-27 Gender From Voice Prediction App -Deploy On Heroku/2. Creating Project Notebook.mp4 254.8 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/29. Project-28 Restaurant Recommendation System/4. Data Analysis2.mp4 254.7 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/30. Project-29 Happiness Ranking Django App -Deploy On Heroku/2. Project Notebook.mp4 252.2 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/23. Project-22 Attrition Rate Django Application/2. Creating Colab Notebook.mp4 224.2 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/31. Project-30 Forest Fire Prediction Django App -Deploy On Heroku/2. Project Notebook.mp4 217.2 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/27. Project-26 Customer Revenue Prediction App -Deploy On Heroku/2. Colab Notebook.mp4 211.5 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/31. Project-30 Forest Fire Prediction Django App -Deploy On Heroku/6.1 Forest Fires App -Code.zip 196.6 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/26. Project-25 Cats Vs Dogs Classification Flask App/6.1 Cats Vs Dogs App Code.zip 189.3 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/24. Project-23 Find Legendary Pokemon Django App -Deploy On Heroku/2. Creating Colab Notebook.mp4 185.8 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/14. Project-13 Laptop Price Predictor -Deploy On Heroku/11. Model Building Part-3.mp4 179.2 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/16. Project-15 Course Recommendation System -Deploy On Heroku/3. Integrating with Flask Server.mp4 173.7 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/20. Project-19 Car Acceptability Predictor -Deploy On Google Cloud/7. Deployment on GCP (Google Cloud Platform).mp4 173.4 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/14. Project-13 Laptop Price Predictor -Deploy On Heroku/9. Model Building Part-1.mp4 163.6 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/7. Text Processing Part 4.mp4 162.8 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/37. Project-36 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/3. Outliers and Model.mp4 162.1 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/7. Hyper Parameter Tuning, Model Testing.mp4 160.3 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/14. Project-13 Laptop Price Predictor -Deploy On Heroku/7. EDA Part-6.mp4 160.1 MB
  • [TutsNode.com] - 50-Days 50-Projects - Data Science, Machine Learning Bootcamp/19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/10. Coding the UI Part 3.mp4 154.9 MB
[磁力链接] 添加时间:2022-01-09 大小:25.0 GB 最近下载:2025-09-25 热度:11418

GetFreeCourses.Co-Udemy-Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

  • 15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 41.9 MB
  • 1. Introduction/2. How to Download Course Notebooks.mp4 39.9 MB
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 38.7 MB
  • 4. Module 4 Data Structures And Sequences In Python/2. List.mp4 38.1 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 37.5 MB
  • 6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 37.1 MB
  • 7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 35.6 MB
  • 14. Module 14 Time Series/6. Handling Time Zone.mp4 35.1 MB
  • 14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 34.8 MB
  • 14. Module 14 Time Series/3. Basics of Time Series.mp4 34.4 MB
  • 15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 33.5 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 33.1 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 32.7 MB
  • 10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 32.7 MB
  • 6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 32.7 MB
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 31.6 MB
  • 14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 31.2 MB
  • 15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 31.2 MB
  • 14. Module 14 Time Series/4. Generating Date Ranges.mp4 30.9 MB
  • 12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 30.3 MB
[磁力链接] 添加时间:2022-01-10 大小:2.1 GB 最近下载:2025-09-22 热度:1581

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2022-01-14 大小:5.4 GB 最近下载:2025-09-22 热度:1370

Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 41.9 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/1. Introduction/2. How to Download Course Notebooks.mp4 39.9 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 38.7 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/4. Module 4 Data Structures And Sequences In Python/2. List.mp4 38.1 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 37.5 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 37.1 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 35.6 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/14. Module 14 Time Series/6. Handling Time Zone.mp4 35.1 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 34.8 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/14. Module 14 Time Series/3. Basics of Time Series.mp4 34.4 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 33.5 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 33.1 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 32.7 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 32.7 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 32.7 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 31.6 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 31.2 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 31.2 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/14. Module 14 Time Series/4. Generating Date Ranges.mp4 30.9 MB
  • [TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn/12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 30.3 MB
[磁力链接] 添加时间:2022-01-22 大小:2.1 GB 最近下载:2025-09-21 热度:5307

[GigaCourse.Com] Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

  • 15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 41.9 MB
  • 1. Introduction/2. How to Download Course Notebooks.mp4 39.9 MB
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 38.7 MB
  • 4. Module 4 Data Structures And Sequences In Python/2. List.mp4 38.1 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 37.5 MB
  • 6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 37.1 MB
  • 7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 35.6 MB
  • 14. Module 14 Time Series/6. Handling Time Zone.mp4 35.1 MB
  • 14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 34.8 MB
  • 14. Module 14 Time Series/3. Basics of Time Series.mp4 34.4 MB
  • 15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 33.5 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 33.1 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 32.7 MB
  • 10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 32.7 MB
  • 6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 32.7 MB
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 31.6 MB
  • 14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 31.2 MB
  • 15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 31.2 MB
  • 14. Module 14 Time Series/4. Generating Date Ranges.mp4 30.9 MB
  • 12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 30.3 MB
[磁力链接] 添加时间:2022-01-24 大小:2.1 GB 最近下载:2025-09-15 热度:1076

[FreeCourseSite.com] Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

  • 15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 41.9 MB
  • 1. Introduction/2. How to Download Course Notebooks.mp4 39.9 MB
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 38.7 MB
  • 4. Module 4 Data Structures And Sequences In Python/2. List.mp4 38.1 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 37.5 MB
  • 6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 37.1 MB
  • 7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 35.6 MB
  • 14. Module 14 Time Series/6. Handling Time Zone.mp4 35.1 MB
  • 14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 34.8 MB
  • 14. Module 14 Time Series/3. Basics of Time Series.mp4 34.4 MB
  • 15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 33.5 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 33.1 MB
  • 13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 32.7 MB
  • 10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 32.7 MB
  • 6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 32.7 MB
  • 11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 31.6 MB
  • 14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 31.2 MB
  • 15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 31.2 MB
  • 14. Module 14 Time Series/4. Generating Date Ranges.mp4 30.9 MB
  • 12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 30.3 MB
[磁力链接] 添加时间:2022-01-26 大小:2.1 GB 最近下载:2025-09-23 热度:1100


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