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[FreeCourseSite.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021

  • 06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
  • 05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
  • 06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
  • 06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
  • 02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
  • 02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
  • 02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
  • 03 Data Preprocessing/012 Normalization.mp4 195.9 MB
  • 05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
  • 03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
  • 02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
  • 07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
  • 02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
  • 05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
  • 02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
  • 08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-01-10 大小:7.2 GB 最近下载:2025-05-24 热度:869

[FreeCourseLab.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021

  • 06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
  • 05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
  • 06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
  • 06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
  • 02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
  • 02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
  • 02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
  • 03 Data Preprocessing/012 Normalization.mp4 195.9 MB
  • 05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
  • 03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
  • 02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
  • 07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
  • 02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
  • 05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
  • 02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
  • 08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-02-17 大小:7.2 GB 最近下载:2025-05-26 热度:579

Machine Learning & Data Science A-Z Hands-on Python 2021

  • 06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
  • 05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
  • 06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
  • 06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
  • 02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
  • 02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
  • 02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
  • 03 Data Preprocessing/012 Normalization.mp4 195.9 MB
  • 05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
  • 03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
  • 02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
  • 07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
  • 02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
  • 05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
  • 02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
  • 08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-02-05 大小:7.2 GB 最近下载:2025-05-30 热度:725

GetFreeCourses.Co-Udemy-Machine Learning & Data Science A-Z Hands-on Python 2021

  • 6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
  • 5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
  • 6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
  • 6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
  • 2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
  • 2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
  • 2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
  • 3. Data Preprocessing/12. Normalization.mp4 195.9 MB
  • 5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
  • 3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
  • 2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
  • 7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
  • 2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
  • 5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
  • 2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
  • 8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-04-20 大小:7.2 GB 最近下载:2025-02-15 热度:102

[FreeCourseSite.com] 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.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 154.5 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
  • 3. Fundamentals Of R/6. The power of vectorized operations.mp4 128.8 MB
[磁力链接] 添加时间:2021-03-15 大小:7.2 GB 最近下载:2025-05-02 热度:885

[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.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
  • 3. Fundamentals Of R/6. The power of vectorized operations.mp4 128.8 MB
[磁力链接] 添加时间:2021-03-29 大小:7.2 GB 最近下载:2025-05-14 热度:973

[FreeUdemy.Me] Machine Learning A-Z™ Hands-On Python & R In Data Science.zip

  • [FreeUdemy.Me] Machine Learning A-Z™ Hands-On Python & R In Data Science.zip 7.2 GB
[磁力链接] 添加时间:2017-06-07 大小:7.2 GB 最近下载:2022-05-16 热度:555

[FreeCourseSite.com] Udemy - Data Science A-Z™ Hands-On Exercises & ChatGPT Bonus [2023]

  • 20 - Handling errors during ETL Phases 1 & 2/136 - What do you do when your source file is corrupt Part 1.mp4 315.8 MB
  • 20 - Handling errors during ETL Phases 1 & 2/142 - How to analyze the error files.mp4 223.7 MB
  • 27 - Homework Solutions/214 - ETL Error Handling Phases 1 and 2.mp4 217.3 MB
  • 27 - Homework Solutions/215 - ETL Error Handling Vehicle Service Project Part 1 of 3.mp4 179.2 MB
  • 27 - Homework Solutions/217 - ETL Error Handling Vehicle Service Project Part 3 of 3.mp4 156.2 MB
  • 26 - Presenting for Data Scientists/205 - REAL Data Science Presentation Walkthrough.mp4 154.2 MB
  • 13 - Assessing your model/90 - How to build a CAP curve in Excel.mp4 140.1 MB
  • 23 - Handling errors during ETL Phase 3/182 - Upload the data to RAW table.mp4 140.0 MB
  • 10 - Multiple Linear Regression/65 - Backward Elimination.mp4 120.5 MB
  • 14 - Drawing insights from your model/102 - Deriving insights from your coefficients advanced topic.mp4 120.1 MB
  • 20 - Handling errors during ETL Phases 1 & 2/138 - SSIS Error Data truncation.mp4 119.7 MB
  • 10 - Multiple Linear Regression/67 - Interpreting coefficients of MLR.mp4 108.6 MB
  • 6 - Advanced Data Mining With Tableau/41 - Bonus Chi.mp4 103.3 MB
  • 6 - Advanced Data Mining With Tableau/40 - Visualising Balance and Estimated Salary distribution.mp4 100.5 MB
  • 22 - ETL Phase 3 Data Wrangling after the load/176 - Converting data on the fly.mp4 98.3 MB
  • 13 - Assessing your model/94 - Applying the model to test data.mp4 88.3 MB
  • 13 - Assessing your model/95 - Comparing training performance and test performance.mp4 87.0 MB
  • 10 - Multiple Linear Regression/64 - Ways to build a model BACKWARD FORWARD STEPWISE.mp4 78.0 MB
  • 20 - Handling errors during ETL Phases 1 & 2/137 - What do you do when your source file is corrupt Part 2.mp4 74.8 MB
  • 12 - Building a robust geodemographic segmentation model/81 - Lets build the model.mp4 74.5 MB
[磁力链接] 添加时间:2024-01-09 大小:7.2 GB 最近下载:2025-05-30 热度:4131

[GigaCourse.Com] Udemy - Data Science A-Z™: Hands-On Exercises & ChatGPT Bonus [2023]

  • 20 - Handling errors during ETL Phases 1 & 2/136 - What do you do when your source file is corrupt Part 1.mp4 315.8 MB
  • 20 - Handling errors during ETL Phases 1 & 2/142 - How to analyze the error files.mp4 223.7 MB
  • 27 - Homework Solutions/214 - ETL Error Handling Phases 1 and 2.mp4 217.3 MB
  • 27 - Homework Solutions/215 - ETL Error Handling Vehicle Service Project Part 1 of 3.mp4 179.2 MB
  • 27 - Homework Solutions/217 - ETL Error Handling Vehicle Service Project Part 3 of 3.mp4 156.2 MB
  • 26 - Presenting for Data Scientists/205 - REAL Data Science Presentation Walkthrough.mp4 154.2 MB
  • 13 - Assessing your model/90 - How to build a CAP curve in Excel.mp4 140.1 MB
  • 23 - Handling errors during ETL Phase 3/182 - Upload the data to RAW table.mp4 140.0 MB
  • 10 - Multiple Linear Regression/65 - Backward Elimination.mp4 120.5 MB
  • 14 - Drawing insights from your model/102 - Deriving insights from your coefficients advanced topic.mp4 120.1 MB
  • 20 - Handling errors during ETL Phases 1 & 2/138 - SSIS Error Data truncation.mp4 119.7 MB
  • 10 - Multiple Linear Regression/67 - Interpreting coefficients of MLR.mp4 108.6 MB
  • 6 - Advanced Data Mining With Tableau/41 - Bonus Chi.mp4 103.3 MB
  • 6 - Advanced Data Mining With Tableau/40 - Visualising Balance and Estimated Salary distribution.mp4 100.5 MB
  • 22 - ETL Phase 3 Data Wrangling after the load/176 - Converting data on the fly.mp4 98.3 MB
  • 13 - Assessing your model/94 - Applying the model to test data.mp4 88.3 MB
  • 13 - Assessing your model/95 - Comparing training performance and test performance.mp4 87.0 MB
  • 10 - Multiple Linear Regression/64 - Ways to build a model BACKWARD FORWARD STEPWISE.mp4 78.0 MB
  • 20 - Handling errors during ETL Phases 1 & 2/137 - What do you do when your source file is corrupt Part 2.mp4 74.8 MB
  • 12 - Building a robust geodemographic segmentation model/81 - Lets build the model.mp4 74.5 MB
[磁力链接] 添加时间:2023-12-24 大小:7.2 GB 最近下载:2025-05-20 热度:1263

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

  • 01 Welcome to the course/001 Applications of Machine Learning.mp4 10.3 MB
  • 01 Welcome to the course/002 Why Machine Learning is the Future.mp4 15.2 MB
  • 01 Welcome to the course/003 Installing R and R Studio MAC Windows.mp4 24.3 MB
  • 01 Welcome to the course/004 Installing Python and Anaconda MAC Windows.mp4 25.1 MB
  • 01 Welcome to the course/005 BONUS Meet your instructors.html 1.4 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/006 Welcome to Part 1 - Data Preprocessing.mp4 3.7 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/007 Get the dataset.mp4 22.2 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/008 Importing the Libraries.mp4 14.2 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/009 Importing the Dataset.mp4 30.0 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/011 Missing Data.mp4 41.2 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/012 Categorical Data.mp4 55.4 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/013 Splitting the Dataset into the Training set and Test set.mp4 53.4 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/014 Feature Scaling.mp4 46.8 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/015 And here is our Data Preprocessing Template.mp4 27.1 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/quizzes/001 Data Preprocessing.html 4.7 kB
  • 03 ------------------------------ Part 2 Regression ------------------------------/016 Welcome to Part 2 - Regression.html 1.1 kB
  • 04 Simple Linear Regression/017 How to get the dataset.mp4 12.3 MB
  • 04 Simple Linear Regression/018 Dataset Business Problem Description.mp4 8.1 MB
  • 04 Simple Linear Regression/019 Simple Linear Regression Intuition - Step 1.mp4 11.0 MB
  • 04 Simple Linear Regression/020 Simple Linear Regression Intuition - Step 2.mp4 6.3 MB
[磁力链接] 添加时间:2018-03-03 大小:7.2 GB 最近下载:2025-06-01 热度:1613

Pandas & Seaborn Data Science and Visualization Masterclass

  • Pandas & Seaborn Data Science and Visualization Masterclass.zip 7.2 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2021-04-22 大小:7.2 GB 最近下载:2025-05-27 热度:3142

Udemy.Curso.completo.de.Machine.Learning.Data.Science.con.RStudio

  • Udemy.Curso.completo.de.Machine.Learning.Data.Science.con.RStudio.rar 7.2 GB
[磁力链接] 添加时间:2021-03-15 大小:7.2 GB 最近下载:2025-05-26 热度:550

Математика для Data Science 2.0

  • lesson56.mp4 292.4 MB
  • lesson22.mp4 239.1 MB
  • lesson15.mp4 211.6 MB
  • lesson38.mp4 198.4 MB
  • lesson29.mp4 189.8 MB
  • lesson25.mp4 186.9 MB
  • lesson11.mp4 183.8 MB
  • lesson23.mp4 177.3 MB
  • lesson37.mp4 176.3 MB
  • lesson49.mp4 173.6 MB
  • lesson14.mp4 171.1 MB
  • lesson16.mp4 163.6 MB
  • lesson31.mp4 160.1 MB
  • lesson19.mp4 159.6 MB
  • lesson26.mp4 159.4 MB
  • lesson43.mp4 159.2 MB
  • lesson50.mp4 157.4 MB
  • lesson27.mp4 157.0 MB
  • lesson12.mp4 154.1 MB
  • code.zip 150.1 MB
[磁力链接] 添加时间:2023-12-17 大小:7.2 GB 最近下载:2025-05-31 热度:10505

R Programming A-Z R For Data Science With Real Exercises!

  • R Programming A-Z R For Data Science With Real Exercises!.zip 7.1 GB
  • [TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
  • TutsNode.com.txt 63 Bytes
[磁力链接] 添加时间:2021-03-24 大小:7.1 GB 最近下载:2025-06-01 热度:4488

Statistics & Applied Data Science - Business Data Analysis

  • Statistics & Applied Data Science - Business Data Analysis/1. --------- Data Analysis Part 1 - Getting Started ------/1. Data analysis videos samples of course contents.mp4 202.5 MB
  • Statistics & Applied Data Science - Business Data Analysis/9. Data types/7. Quizzes and examples about data types.mp4 188.1 MB
  • Statistics & Applied Data Science - Business Data Analysis/21. Confidence interval second lesson/7. Relationship between standard error and margin of error in confidence interval.mp4 186.8 MB
  • Statistics & Applied Data Science - Business Data Analysis/17. Normal distribution lesson 2/2. Examples about convert normal to standard normal.mp4 129.6 MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/9. a tricky question about standard deviation.mp4 119.0 MB
  • Statistics & Applied Data Science - Business Data Analysis/12. Data dispersion and spread/7. Example about 5 number summary.mp4 114.7 MB
  • Statistics & Applied Data Science - Business Data Analysis/22. Student's t distribution/12. t score and t table.mp4 114.4 MB
  • Statistics & Applied Data Science - Business Data Analysis/23. Examples about confidence interval/3. Repeat the same example with CL = 95%.mp4 109.0 MB
  • Statistics & Applied Data Science - Business Data Analysis/15. Outlier/6. Examples to find outlier.mp4 103.0 MB
  • Statistics & Applied Data Science - Business Data Analysis/11. Why center of the data is very important/4. The Fun with football goals to find center of the data.mp4 102.4 MB
  • Statistics & Applied Data Science - Business Data Analysis/7. Comparison between inferential ans descriptive statistics/2. Simplified viewpoint about descriptive and inferential statistics.mp4 92.9 MB
  • Statistics & Applied Data Science - Business Data Analysis/21. Confidence interval second lesson/8. Quick Review about what we learned in confidence interval.mp4 90.5 MB
  • Statistics & Applied Data Science - Business Data Analysis/16. Normal distribution lesson 1/8. What is the benefit of Z table .mp4 88.8 MB
  • Statistics & Applied Data Science - Business Data Analysis/19. Continue Sampling distribution/6. Let's start working with simulation tool.mp4 77.3 MB
  • Statistics & Applied Data Science - Business Data Analysis/23. Examples about confidence interval/4. What is the lower limit point of CL = 90% .mp4 73.2 MB
  • Statistics & Applied Data Science - Business Data Analysis/20. Confidence interval and level first lesson/9. Start simulation of 95 confidence interval.mp4 72.8 MB
  • Statistics & Applied Data Science - Business Data Analysis/13. Which one is better Standard deviation or range/6. Example about standard deviation.mp4 70.4 MB
  • Statistics & Applied Data Science - Business Data Analysis/28. Mini story part 2 ( Two tailed t test )/13. Use Excel file with two samples mean t test.mp4 66.7 MB
  • Statistics & Applied Data Science - Business Data Analysis/16. Normal distribution lesson 1/4. Simplified viewpoint about normal distribution.mp4 66.2 MB
  • Statistics & Applied Data Science - Business Data Analysis/25. --- Part 4 TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING----/22. Questions about what we learned from mini story part 1 .mp4 65.8 MB
[磁力链接] 添加时间:2022-01-10 大小:7.1 GB 最近下载:2025-05-29 热度:1203

Data Science Bookcamp, video edition

  • [TutsNode.com] - Data Science Bookcamp, video edition/113 - Chapter 21. Measuring feature importance with coefficients.mp4 97.7 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/71 - Chapter 15. Clustering texts by topic, Part 2.mp4 91.3 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/66 - Chapter 15. Vectorizing documents using scikit-learn.mp4 91.3 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/86 - Case study 5 - Predicting future friendships from social network data.mp4 84.3 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/23 - Chapter 7. Data dredging - Coming to false conclusions through oversampling.mp4 83.8 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/14 - Chapter 5. Basic probability and statistical analysis using SciPy.mp4 79.9 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/98 - Chapter 19. Community detection using Markov clustering, Part 2.mp4 78.9 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/93 - Chapter 19. Dynamic graph theory techniques for node ranking and social network analysis.mp4 78.7 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/87 - Chapter 18. An introduction to graph theory and network analysis.mp4 78.5 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/16 - Chapter 5. Variance as a measure of dispersion.mp4 77.5 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/70 - Chapter 15. Clustering texts by topic, Part 1.mp4 76.9 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/109 - Chapter 21. Training a linear classifier, Part 2.mp4 76.8 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/81 - Chapter 17. Filtering jobs by relevance.mp4 76.7 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/44 - Chapter 12. Visualizing and clustering the extracted location data.mp4 74.2 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/84 - Chapter 17. Exploring clusters at alternative values of K.mp4 72.7 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/42 - Chapter 11. Limitations of the GeoNamesCache library.mp4 72.5 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/36 - Chapter 10. Clustering based on non-Euclidean distance.mp4 72.1 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/64 - Chapter 14. Efficient dimension reduction using SVD and scikit-learn.mp4 71.9 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/22 - Chapter 7. Assessing the divergence between sample mean and population mean.mp4 71.6 MB
  • [TutsNode.com] - Data Science Bookcamp, video edition/82 - Chapter 17. Clustering skills in relevant job postings.mp4 69.8 MB
[磁力链接] 添加时间:2022-02-19 大小:7.0 GB 最近下载:2025-05-31 热度:1210

Machine Learning & Data Science with Python & Kaggle A-Z

  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/20. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.0 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/20. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/22. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.6 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/21. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.7 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/19. First Contact with Kaggle/1. What is Kaggle.mp4 135.9 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/26. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/19. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/2. Installations for Python/1. Installing Anaconda Distribution for Windows.mp4 124.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/26. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Project.mp4 122.8 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/2. Installations for Python/3. Installing Anaconda Distribution for Linux.mp4 120.4 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/24. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.2 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/5. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/22. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 110.9 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/26. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/3. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.2 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/3. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/30. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Examining Statistics of Variables.mp4 95.8 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/30. Exploratory Data Analysis (EDA) - Bi-variate Analysis/16. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 95.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/5. Linear Regression Algorithm in Machine Learning A-Z/5. Linear Regression Algorithm With Python Part 4.mp4 94.4 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/29. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 88.2 MB
[磁力链接] 添加时间:2024-02-28 大小:6.9 GB 最近下载:2025-05-30 热度:2762

[OTUS] Математика для Data Science. Базовый курс (2020)

  • 24. MidTerm/MidTerm.mp4 823.5 MB
  • 19. Обратная матрица/Обратная матрица.mp4 741.9 MB
  • 33. Проверка гипотез при исследовании зависимостей и законов распределения/Проверка гипотез при исследовании зависимостей и законов распределения.mp4 269.7 MB
  • 30. Интервальные оценки. Выборочные характеристики/Интервальные оценки. Выборочные характеристики.mp4 269.3 MB
  • 21. Векторная алгебра/Векторная алгебра.mp4 254.0 MB
  • 34. Регрессии в Python/Регрессии в Python.mp4 226.6 MB
  • 31. Проверка гипотез/Проверка гипотез.mp4 225.9 MB
  • 18. Определитель/Определитель.mp4 222.5 MB
  • 7. Оптимизация функции (одной переменной)/Оптимизация функции (одной переменной).mp4 209.0 MB
  • 17. Однородные СЛАУ/Однородные СЛАУ.mp4 199.2 MB
  • 26. Случайные величины/Случайные величины.mp4 191.7 MB
  • 2. Теория пределов. Часть I/Теория пределов. Часть I.mp4 185.7 MB
  • 12. Неопределенное интегрирование/Неопределенное интегрирование.mp4 183.4 MB
  • 28. Основные законы распределения. Часть II/Основные законы распределения. Часть II.mp4 175.8 MB
  • 9. Теория рядов. Часть II/Теория рядов. Часть II.mp4 172.6 MB
  • 3. Теория пределов. Часть II/Теория пределов. Часть II.mp4 168.4 MB
  • 29. Точечные оценки/Точечные оценки.mp4 168.1 MB
  • 5. Первая производная/Первая производная.mp4 164.0 MB
  • 25. Случайные события/Случайные события.mp4 161.3 MB
  • 14. Несобственные интегралы/Несобственные интегралы.mp4 154.6 MB
[磁力链接] 添加时间:2021-03-09 大小:6.9 GB 最近下载:2025-06-01 热度:24021

[GigaCourse.Com] Udemy - Python A-Z™ Python For Data Science With Real Exercises!

  • 7 - Homework Solutions/66 - Homework Solution Section 4 Basketball Free Throws.mp4 308.4 MB
  • 6 - Advanced Visualization/58 - EXTRA Building Dashboards in Python.mp4 294.2 MB
  • 5 - Data Frames/42 - Filtering a Data Frame.mp4 259.7 MB
  • 6 - Advanced Visualization/59 - EXTRA Styling Tips.mp4 238.0 MB
  • 4 - Matrices/27 - Building Your First Matrix.mp4 207.6 MB
  • 5 - Data Frames/40 - Subsetting dataframes in Pandas.mp4 205.6 MB
  • 4 - Matrices/28 - Dictionaries in Python.mp4 191.9 MB
  • 6 - Advanced Visualization/60 - EXTRA Finishing Touches.mp4 181.6 MB
  • 4 - Matrices/32 - Creating Your First Function.mp4 178.4 MB
  • 4 - Matrices/33 - Advanced Function Design.mp4 174.0 MB
  • 7 - Homework Solutions/67 - Homework Solution Section 5 World Trends Part 1.mp4 168.5 MB
  • 7 - Homework Solutions/69 - Homework Solution Section 6 Movie Domestic Gross Part 1.mp4 164.1 MB
  • 5 - Data Frames/41 - Basic operations with a Data Frame.mp4 160.3 MB
  • 4 - Matrices/25 - Project Brief Basketball Trends.mp4 156.2 MB
  • 5 - Data Frames/38 - Exploring your dataset.mp4 154.5 MB
  • 3 - Fundamentals Of Python/24 - HOMEWORK Financial Statement Analysis.mp4 151.9 MB
  • 3 - Fundamentals Of Python/20 - Packages in Python.mp4 151.3 MB
  • 6 - Advanced Visualization/49 - What is a Category data type.mp4 151.3 MB
  • 7 - Homework Solutions/68 - Homework Solution Section 5 World Trends Part 2.mp4 149.6 MB
  • 5 - Data Frames/46 - Keyword Arguments in Python advanced tutorial.mp4 146.4 MB
[磁力链接] 添加时间:2023-12-31 大小:6.9 GB 最近下载:2025-05-31 热度:2572

[FreeCoursesOnline.Me] O`REILLY - Data Science Bookcamp, video edition

  • 113 - Chapter 21. Measuring feature importance with coefficients.mp4 97.7 MB
  • 71 - Chapter 15. Clustering texts by topic, Part 2.mp4 91.3 MB
  • 66 - Chapter 15. Vectorizing documents using scikit-learn.mp4 91.3 MB
  • 86 - Case study 5 - Predicting future friendships from social network data.mp4 84.3 MB
  • 23 - Chapter 7. Data dredging - Coming to false conclusions through oversampling.mp4 83.8 MB
  • 14 - Chapter 5. Basic probability and statistical analysis using SciPy.mp4 79.9 MB
  • 98 - Chapter 19. Community detection using Markov clustering, Part 2.mp4 78.9 MB
  • 93 - Chapter 19. Dynamic graph theory techniques for node ranking and social network analysis.mp4 78.7 MB
  • 87 - Chapter 18. An introduction to graph theory and network analysis.mp4 78.5 MB
  • 16 - Chapter 5. Variance as a measure of dispersion.mp4 77.5 MB
  • 70 - Chapter 15. Clustering texts by topic, Part 1.mp4 76.9 MB
  • 109 - Chapter 21. Training a linear classifier, Part 2.mp4 76.8 MB
  • 81 - Chapter 17. Filtering jobs by relevance.mp4 76.7 MB
  • 44 - Chapter 12. Visualizing and clustering the extracted location data.mp4 74.2 MB
  • 84 - Chapter 17. Exploring clusters at alternative values of K.mp4 72.7 MB
  • 42 - Chapter 11. Limitations of the GeoNamesCache library.mp4 72.5 MB
  • 36 - Chapter 10. Clustering based on non-Euclidean distance.mp4 72.1 MB
  • 64 - Chapter 14. Efficient dimension reduction using SVD and scikit-learn.mp4 71.9 MB
  • 22 - Chapter 7. Assessing the divergence between sample mean and population mean.mp4 71.6 MB
  • 82 - Chapter 17. Clustering skills in relevant job postings.mp4 69.8 MB
[磁力链接] 添加时间:2022-03-10 大小:6.9 GB 最近下载:2025-05-31 热度:5294


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