udemy data science -移花宫 -武林禁地，闲人禁止入内

[FreeTutorials.Eu] Udemy - TABLEAU 2018 Hands-On Tableau Training For Data Science!

7. Advanced Data Preparation/3. Data Interpreter.mp4 160.5 MB
4. Maps, Scatterplots, and Your First Dashboard/2. Joining Data in Tableau.mp4 115.3 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/6. The Showdown Joining Data v.s. Blending Data in Tableau.mp4 113.0 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/8. Creating Calculated Fields in a Blend (Advanced Topic).mp4 111.6 MB
8. Clusters, custom territories, design features/7. Modeling With Clusters.mp4 111.5 MB
6. Table Calculations, Advanced Dashboards, Storytelling/11. Creating a Storyline.mp4 107.2 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/1. Section Intro.mp4 103.7 MB
8. Clusters, custom territories, design features/2. Custom Territories Via Groups.mp4 103.5 MB
4. Maps, Scatterplots, and Your First Dashboard/3. Creating a Map, Working with Hierarchies.mp4 102.7 MB
8. Clusters, custom territories, design features/1. The Challenge Startup Expansion Analytics.mp4 98.4 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/5. Data Blending in Tableau.mp4 96.8 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/7. Dual Axis Chart.mp4 93.0 MB
4. Maps, Scatterplots, and Your First Dashboard/7. Adding an Interactive Action - Highlighting.mp4 92.2 MB
3. Time series, Aggregation, and Filters/5. Creating an Area Chart & Learning About Highlighting.mp4 90.4 MB
9. What's new in Tableau 2018/5. Joining to Spatial Files.mp4 87.5 MB
9. What's new in Tableau 2018/8. Viz in Tolltip.mp4 86.5 MB
9. What's new in Tableau 2018/3. Connecting to PDF.mp4 84.1 MB
4. Maps, Scatterplots, and Your First Dashboard/6. Adding an Interactive Action - Filter.mp4 81.6 MB
6. Table Calculations, Advanced Dashboards, Storytelling/10. Analyzing the Customer Segmentation Dashboard.mp4 77.0 MB
3. Time series, Aggregation, and Filters/4. Understanding Aggregation, Granularity, and Level of Detail.mp4 76.8 MB

[磁力链接] 添加时间:2021-03-19 大小:4.3 GB 最近下载:2024-12-24 热度:1100

[Udemy] Python A-Z™ Python For Data Science With Real Exercises! (2021) [En]

6. Advanced Visualization/10. BONUS Building Dashboards in Python.mp4 111.1 MB
6. Advanced Visualization/11. BONUS Styling Tips.mp4 95.1 MB
5. Data Frames/6. Filtering a Data Frame.mp4 92.4 MB
5. Data Frames/4. Subsetting dataframes in Pandas.mp4 75.7 MB
4. Matrices/3. Building Your First Matrix.mp4 74.6 MB
4. Matrices/4. Dictionaries in Python.mp4 73.5 MB
6. Advanced Visualization/12. BONUS Finishing Touches.mp4 69.0 MB
6. Advanced Visualization/4. Stacked histograms in Python.mp4 60.3 MB
5. Data Frames/10. Keyword Arguments in Python (advanced tutorial).mp4 59.6 MB
4. Matrices/9. Advanced Function Design.mp4 59.5 MB
7. Homework Solutions/9. THANK YOU bonus video.mp4 54.8 MB
6. Advanced Visualization/8. Creating a Facet Grid.mp4 54.3 MB
7. Homework Solutions/4. Homework Solution Section 4 Basketball Free Throws.mp4 54.0 MB
6. Advanced Visualization/6. Working with Subplots().mp4 52.3 MB
4. Matrices/8. Creating Your First Function.mp4 50.9 MB
5. Data Frames/8. Introduction to Seaborn.mp4 49.1 MB
5. Data Frames/7. Using .at() and .iat() (advanced tutorial).mp4 46.0 MB
5. Data Frames/5. Basic operations with a Data Frame.mp4 44.5 MB
4. Matrices/10. Basketball Insights.mp4 43.5 MB
5. Data Frames/9. Visualizing With Seaborn Part 1.mp4 42.9 MB

[磁力链接] 添加时间:2021-03-20 大小:2.4 GB 最近下载:2025-01-02 热度:3229

[FreeCourseLab.com] Udemy - Statistics for Data Science and Business Analysis

5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 118.2 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 66.0 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
7. Estimators and estimates/12. What is a margin of error and why is it important in Statistics.mp4 62.1 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB

[磁力链接] 添加时间:2021-03-20 大小:3.0 GB 最近下载:2025-01-02 热度:924

[FreeAllCourse.Com] Udemy - Machine Learning, Data Science and Deep Learning with Python

2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4 113.1 MB

[磁力链接] 添加时间:2021-03-20 大小:8.3 GB 最近下载:2024-12-19 热度:1219

[ FreeCourseWeb.com ] Udemy - Introduction to AI, Machine Learning and Data Science 2020.zip

[ FreeCourseWeb.com ] Udemy - Introduction to AI, Machine Learning and Data Science 2020.zip 202.5 MB

[磁力链接] 添加时间:2021-03-20 大小:202.5 MB 最近下载:2024-12-31 热度:604

[FreeAllCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

[磁力链接] 添加时间:2021-03-21 大小:6.4 GB 最近下载:2025-01-01 热度:934

[FreeCourseLab.com] Udemy - Master SQL For Data Science

Lesson 37. Working with Rollups and Cubes.mp4 117.4 MB
Lesson 35. RANK, FIRST_VALUE and NTILE Functions.mp4 116.7 MB
Lesson 32. Creating Views vs. Inline Views.mp4 84.3 MB
Lesson 4. Install Postgres on Windows.mp4 75.1 MB
Lesson 36. LEAD and LAG Functions.mp4 66.2 MB
Lesson 1. Course Overview.mp4 55.4 MB
Lesson 5. Create Table and Insert Statements.mp4 45.3 MB
Lesson 28. INNER and OUTER Joins + [EXERCISES].mp4 42.6 MB
Lesson 8. Filter Data Using the WHERE Clause + AND & OR.mp4 42.4 MB
Lesson 6. Prepare the Database.mp4 41.9 MB
Lesson 34. Ordering Data in Window Frames.mp4 36.5 MB
Lesson 23. Conditional Expressions Using CASE Clause + [EXERCISES].mp4 34.7 MB
Lesson 21. Subqueries with ANY and ALL Operators + [EXERCISES].mp4 34.6 MB
Lesson 7. Introducing the SELECT Statement.mp4 34.4 MB
Lesson 25. Understanding Correlated Subqueries.mp4 33.6 MB
Lesson 24. Transposing Data using the CASE Clause + [EXERCISES].mp4 31.7 MB
Lesson 9. Filtering Operators - IN, NOT IN, IS NULL, BETWEEN.mp4 31.6 MB
Lesson 33. Window Functions using the OVER() Clause.mp4 31.3 MB
Lesson 20. Subqueries Continued + [EXERCISES].mp4 31.2 MB
Lesson 31. [EXERCISES] Joins and Subqueries Continued.mp4 28.7 MB

[磁力链接] 添加时间:2021-03-21 大小:1.4 GB 最近下载:2024-12-30 热度:2609

GetFreeCourses.Me-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:2021-03-22 大小:5.5 GB 最近下载:2025-01-02 热度:4867

[ DevCourseWeb.com ] Udemy - Learn Data Science - Practical Machine Learning Projects.zip

[ DevCourseWeb.com ] Udemy - Learn Data Science - Practical Machine Learning Projects.zip 1.8 GB

[磁力链接] 添加时间:2021-03-22 大小:1.8 GB 最近下载:2025-01-02 热度:419

[Udemy] [2021] Tableau 2020 A-Z Hands-on Tableau For Data Science (2021) [En]

35 Pivot Table and Dashboards in Excel/002 Excel If Nested Ifs Functions with its Alternatives.mp4 615.8 MB
35 Pivot Table and Dashboards in Excel/001 Pivot Table and its Properties.mp4 594.8 MB
39 Understanding Expressions and Statements/002 Power Query Analytics Tool.mp4 557.2 MB
34 Basic Excel Functions/006 Excel Function Sumproduct_Count_ifs.mp4 546.3 MB
36 Excel Shortcuts and Conditional Formatting/003 Office 365 Functions and Exercises.mp4 504.0 MB
36 Excel Shortcuts and Conditional Formatting/001 Aggregate Functions and Excel Practices.mp4 433.3 MB
33 Introduction to Lookup Functions/002 Vlookup with Multiple Criteria.mp4 423.8 MB
36 Excel Shortcuts and Conditional Formatting/002 Excel Keyboard Shortcuts.mp4 415.8 MB
38 Introduction to VBA_ Visual Basic for Applications/004 Basics of VBA for Each loop and Exercises.mp4 400.7 MB
32 Sorting , Freeze Panes, Insert Rows etc/001 Sorting , Freeze Panes, Insert Rows etc.mp4 392.1 MB
38 Introduction to VBA_ Visual Basic for Applications/002 Excel VBA Basics.mp4 371.5 MB
34 Basic Excel Functions/003 Count Function Series.mp4 351.1 MB
38 Introduction to VBA_ Visual Basic for Applications/006 Functions and Exercises.mp4 337.3 MB
34 Basic Excel Functions/001 Functions and Exercises.mp4 337.1 MB
34 Basic Excel Functions/005 Sum with IF and Sum product Series.mp4 333.9 MB
34 Basic Excel Functions/002 Advanced Filter.mp4 331.4 MB
38 Introduction to VBA_ Visual Basic for Applications/003 Excel Basics of VBA Combo Box and Exercises.mp4 312.8 MB
35 Pivot Table and Dashboards in Excel/003 Conditional Formatting.mp4 296.7 MB
33 Introduction to Lookup Functions/003 Two Way Lookup.mp4 291.9 MB
37 Basic Functions in Excel/001 Xlookup Function with Mod and Time Functions.mp4 279.9 MB

[磁力链接] 添加时间:2021-03-22 大小:14.8 GB 最近下载:2024-12-30 热度:1538

[FreeCourseLab.com] Udemy - R Programming Advanced Analytics In R For Data Science

2. Data Preparation/3. Updates on Udemy Reviews.mp4 61.2 MB
3. Lists in R/2. Project Brief Machine Utilization.mp4 55.7 MB
2. Data Preparation/17. Replacing Missing Data Median Imputation Method (Part 1).mp4 51.3 MB
2. Data Preparation/11. An Elegant Way To Locate Missing Data.mp4 50.8 MB
2. Data Preparation/9. Dealing with Missing Data.mp4 44.7 MB
2. Data Preparation/15. Reseting the dataframe index.mp4 41.1 MB
4. Apply Family of Functions/7. Using lapply().mp4 40.6 MB
3. Lists in R/4. Handling Date-Times in R.mp4 40.5 MB
3. Lists in R/10. Creating A Timeseries Plot.mp4 40.1 MB
3. Lists in R/5. What is a List.mp4 37.7 MB
4. Apply Family of Functions/10. Using sapply().mp4 36.6 MB
2. Data Preparation/8. gsub() and sub().mp4 34.7 MB
3. Lists in R/8. Adding and deleting components.mp4 34.1 MB
4. Apply Family of Functions/12. which.max() and which.min() (advanced topic).mp4 34.0 MB
2. Data Preparation/21. Visualizing results.mp4 33.4 MB
2. Data Preparation/12. Data Filters which() for Non-Missing Data.mp4 31.5 MB
2. Data Preparation/5. What are Factors (Refresher).mp4 30.7 MB
1. Welcome To The Course/1. Welcome to the Advanced R Programming Course!.mp4 30.5 MB
4. Apply Family of Functions/3. Import Data into R.mp4 29.4 MB
4. Apply Family of Functions/9. Adding your own functions.mp4 29.4 MB

[磁力链接] 添加时间:2021-03-22 大小:1.3 GB 最近下载:2024-12-12 热度:998

[ DevCourseWeb.com ] Udemy - R Programming for Data Science and Machine Learning.zip

[ DevCourseWeb.com ] Udemy - R Programming for Data Science and Machine Learning.zip 1.5 GB

[磁力链接] 添加时间:2021-03-22 大小:1.5 GB 最近下载:2024-10-21 热度:473

[GigaCourse.com] Udemy - Statistics for Data Science and Business Analysis

5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.6 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.8 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 66.0 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB

[磁力链接] 添加时间:2021-03-22 大小:3.0 GB 最近下载:2025-01-02 热度:1294

[DesireCourse.Net] Udemy - Statistics for Data Science and Business Analysis

5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.6 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 66.0 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB

[磁力链接] 添加时间:2021-03-24 大小:3.0 GB 最近下载:2025-01-03 热度:1221

[FreeAllCourse.Com] Udemy - Statistics for Data Science and Business Analysis

5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.5 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 65.9 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.srt 58.6 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB

[磁力链接] 添加时间:2021-03-24 大小:3.1 GB 最近下载:2025-01-03 热度:986

[FreeCourseLab.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

1. Welcome to the course!/5.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/6. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

[磁力链接] 添加时间:2021-03-25 大小:6.5 GB 最近下载:2024-11-21 热度:58

[FreeCourseLab.com] Udemy - Tableau 10 A-Z Hands-On Tableau Training For Data Science!

1. It's super easy to get Started/4. Updates on Udemy Reviews.mp4 51.6 MB
7. Advanced Data Preparation/3. Data Interpreter.mp4 39.9 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/1. Section Intro.mp4 29.2 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/6. Data Blending in Tableau.mp4 25.5 MB
4. Maps, Scatterplots, and Your First Dashboard/2. Joining Data in Tableau.mp4 24.9 MB
8. What's new in Tableau 10/2. The Challenge Startup Expansion Analytics.mp4 24.4 MB
8. What's new in Tableau 10/8. Modeling With Clusters.mp4 24.4 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/5. The Showdown Joining Data v.s. Blending Data in Tableau.mp4 23.7 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/8. Creating Calculated Fields in a Blend (Advanced Topic).mp4 23.1 MB
6. Table Calculations, Advanced Dashboards, Storytelling/11. Creating a Storyline.mp4 22.1 MB
4. Maps, Scatterplots, and Your First Dashboard/3. Creating a Map, Working with Hierarchies.mp4 21.9 MB
8. What's new in Tableau 10/3. Custom Territories Via Groups.mp4 21.9 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/7. Dual Axis Chart.mp4 21.7 MB
9. Conclusion/1. Course overview and roadmap download.mp4 20.9 MB
4. Maps, Scatterplots, and Your First Dashboard/7. Adding an Interactive Action - Highlighting.mp4 20.1 MB
6. Table Calculations, Advanced Dashboards, Storytelling/10. Analyzing the Customer Segmentation Dashboard .mp4 19.7 MB
3. Time series, Aggregation, and Filters/5. Creating an Area Chart & Learning About Highlighting.mp4 19.5 MB
4. Maps, Scatterplots, and Your First Dashboard/4. Creating a Scatter Plot, Applying Filters to Multiple Worksheets.mp4 19.4 MB
2. Tableau Basics Your First Bar chart/6. Adding Labels and Formatting.mp4 18.8 MB
3. Time series, Aggregation, and Filters/4. Understanding Aggregation, Granularity, and Level of Detail.mp4 17.6 MB

[磁力链接] 添加时间:2021-03-25 大小:1.0 GB 最近下载:2024-12-11 热度:593

[DesireCourse.Net] Udemy - R Programming A-Z™ R For Data Science With Real Exercises!

7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis.mp4 331.4 MB
7. Homework Solutions/4. Homework Solution Section 5 World Trends.mp4 229.1 MB
3. Fundamentals Of R/7. Functions in R.mp4 209.5 MB
4. Matrices/4. Building Your First Matrix.srt 183.0 MB
4. Matrices/4. Building Your First Matrix.mp4 183.0 MB
4. Matrices/12. Basketball Insights.mp4 180.7 MB
4. Matrices/8. Visualizing With Matplot().mp4 180.3 MB
7. Homework Solutions/5. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 171.3 MB
6. Advanced Visualization With GGPlot2/14. Perfecting By Adding Themes.mp4 160.3 MB
7. Homework Solutions/6. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 160.0 MB
6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 158.0 MB
5. Data Frames/4. Exploring your dataset.mp4 156.2 MB
5. Data Frames/10. Building Dataframes.mp4 154.6 MB
6. Advanced Visualization With GGPlot2/11. Statistical Transformations.mp4 150.0 MB
5. Data Frames/6. Basic operations with a Data Frame.mp4 146.6 MB
1. Hit The Ground Running/5. Exercise - Get Excited!.mp4 142.5 MB
4. Matrices/9. Subsetting.mp4 142.3 MB
5. Data Frames/7. Filtering a Data Frame.mp4 135.6 MB
6. Advanced Visualization With GGPlot2/12. Using Facets.mp4 134.5 MB
4. Matrices/11. Creating Your First Function.mp4 130.6 MB

[磁力链接] 添加时间:2021-03-25 大小:7.7 GB 最近下载:2024-07-04 热度:128

[DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB
40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 107.0 MB

[磁力链接] 添加时间:2021-03-25 大小:12.3 GB 最近下载:2024-12-22 热度:974

[DesireCourse.Net] Udemy - R Programming for Statistics and Data Science 2020

11. Hypothesis Testing/1. Distributions.mp4 112.1 MB
11. Hypothesis Testing/3. Hypothesis testing.mp4 86.2 MB
11. Hypothesis Testing/2. Standard Error and Confidence Intervals.mp4 68.8 MB
11. Hypothesis Testing/7. The P-value.mp4 63.6 MB
11. Hypothesis Testing/5. Test for the mean - population variance known.mp4 61.5 MB
12. Linear Regression Analysis/1. The linear regression model.mp4 60.3 MB
11. Hypothesis Testing/8. Test for the mean - Population variance unknown.mp4 57.4 MB
6. Fundamentals of programming with R/16. Building a function in R 2.0 - Scoping.mp4 54.3 MB
12. Linear Regression Analysis/5. How to interpret the regression table.mp4 52.7 MB
5. Matrices/18. Lists in R.mp4 52.7 MB
11. Hypothesis Testing/10. Comparing two means - Dependent samples.mp4 51.6 MB
12. Linear Regression Analysis/7. Decomposition of variability SST, SSR, SSE.mp4 51.6 MB
1. Introduction/1. Ten Things You Will Learn in This Course.mp4 51.3 MB
11. Hypothesis Testing/12. Comparing two means - Independent samples.mp4 46.5 MB
3. The building blocks of R/1. Creating an object in R.mp4 46.1 MB
11. Hypothesis Testing/4. Type I and Type II errors.mp4 43.7 MB
12. Linear Regression Analysis/4. First regression in R.mp4 39.8 MB
12. Linear Regression Analysis/8. R-squared.mp4 36.1 MB
6. Fundamentals of programming with R/15. Building a function in R 2.0.mp4 33.3 MB
5. Matrices/14. Categorical data.mp4 32.3 MB

[磁力链接] 添加时间:2021-03-25 大小:1.9 GB 最近下载:2024-12-30 热度:2776