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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:2025-06-11 热度:553

[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:2025-08-20 热度:2662

[FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

  • 5. Pandas/28. Pandas Project Exercise Solutions.mp4 190.4 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
  • 5. Pandas/26. Pandas Pivot Tables.mp4 135.0 MB
  • 7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
  • 6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
  • 5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
  • 7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
  • 7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
  • 4. NumPy/2. NumPy Arrays.mp4 115.0 MB
  • 5. Pandas/23. Pandas Input and Output - HTML Tables.mp4 111.8 MB
  • 5. Pandas/15. GroupBy Operations - Part Two - MultiIndex.mp4 111.0 MB
  • 5. Pandas/25. Pandas Input and Output - SQL Databases.mp4 108.2 MB
  • 5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4 106.9 MB
  • 10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4 104.9 MB
  • 1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp4 103.6 MB
  • 5. Pandas/10. Pandas - Useful Methods - Apply on Multiple Columns.mp4 103.3 MB
  • 5. Pandas/13. Missing Data - Pandas Operations.mp4 102.6 MB
  • 5. Pandas/7. DataFrames - Part Four - Working with Rows.mp4 101.4 MB
[磁力链接] 添加时间:2021-03-09 大小:6.9 GB 最近下载:2025-08-14 热度:770

[FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

  • 5. Pandas/28. Pandas Project Exercise Solutions.mp4 190.4 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
  • 5. Pandas/26. Pandas Pivot Tables.mp4 135.0 MB
  • 7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
  • 6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
  • 5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
  • 7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
  • 7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
  • 4. NumPy/2. NumPy Arrays.mp4 115.0 MB
  • 5. Pandas/23. Pandas Input and Output - HTML Tables.mp4 111.8 MB
  • 5. Pandas/15. GroupBy Operations - Part Two - MultiIndex.mp4 111.0 MB
  • 5. Pandas/25. Pandas Input and Output - SQL Databases.mp4 108.2 MB
  • 5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4 106.9 MB
  • 10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4 104.9 MB
  • 1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp4 103.6 MB
  • 5. Pandas/10. Pandas - Useful Methods - Apply on Multiple Columns.mp4 103.3 MB
  • 5. Pandas/13. Missing Data - Pandas Operations.mp4 102.6 MB
  • 5. Pandas/7. DataFrames - Part Four - Working with Rows.mp4 101.4 MB
[磁力链接] 添加时间:2021-03-10 大小:6.9 GB 最近下载:2025-08-15 热度:975

[ FreeCourseWeb.com ] Udemy - Data Science Projects with Python.zip

  • [ FreeCourseWeb.com ] Udemy - Data Science Projects with Python.zip 6.8 GB
[磁力链接] 添加时间:2021-05-11 大小:6.8 GB 最近下载:2025-08-17 热度:1152

[FreeCourseSite.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.vtt 55.5 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 49.4 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
[磁力链接] 添加时间:2021-04-15 大小:6.8 GB 最近下载:2025-07-17 热度:3008

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.vtt 55.5 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 49.4 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
[磁力链接] 添加时间:2021-03-07 大小:6.8 GB 最近下载:2025-02-28 热度:149

[Tutorialsplanet.NET] 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.vtt 55.5 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 49.4 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
[磁力链接] 添加时间:2021-03-08 大小:6.8 GB 最近下载:2025-08-20 热度:1006

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

  • [DesireCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science.zip 6.7 GB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2018-11-08 大小:6.7 GB 最近下载:2025-08-21 热度:1339

[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.srt 49.5 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
[磁力链接] 添加时间:2022-03-29 大小:6.5 GB 最近下载:2024-06-23 热度:17

[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

[DesireCourse.Net] 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:2022-03-14 大小:6.5 GB 最近下载:2025-07-03 热度:731

[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:2025-08-18 热度:1129

[GigaCourse.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 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/14. 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:2021-03-29 大小:6.4 GB 最近下载:2025-07-20 热度:755

[ FreeCourseWeb.com ] Udemy - Data Science and Machine Learning Mathematics and Statistics.zip

  • [ FreeCourseWeb.com ] Udemy - Data Science and Machine Learning Mathematics and Statistics.zip 6.3 GB
[磁力链接] 添加时间:2022-03-01 大小:6.3 GB 最近下载:2025-08-13 热度:853

[FreeCourseSite.com] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

  • 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
  • 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
  • 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
  • 26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
  • 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
  • 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
  • 13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
  • 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
  • 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
  • 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
  • 10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
  • 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
  • 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
  • 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
  • 10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 66.4 MB
[磁力链接] 添加时间:2021-03-26 大小:6.3 GB 最近下载:2025-06-16 热度:572

Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

  • 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
  • 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
  • 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
  • 26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
  • 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
  • 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
  • 13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
  • 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
  • 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
  • 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
  • 10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
  • 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
  • 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
  • 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
  • 10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 66.4 MB
[磁力链接] 添加时间:2022-01-09 大小:6.3 GB 最近下载:2025-06-24 热度:71

[Tutorialsplanet.NET] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

  • 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
  • 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
  • 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
  • 26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
  • 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
  • 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
  • 13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
  • 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
  • 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
  • 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
  • 10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
  • 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
  • 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
  • 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
  • 10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 66.4 MB
[磁力链接] 添加时间:2021-03-29 大小:6.3 GB 最近下载:2025-04-30 热度:230

[DesireCourse.Net] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

  • 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
  • 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
  • 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
  • 26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
  • 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
  • 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
  • 13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
  • 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
  • 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
  • 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
  • 10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
  • 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
  • 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
  • 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
  • 10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 66.4 MB
[磁力链接] 添加时间:2021-03-08 大小:6.3 GB 最近下载:2025-02-05 热度:207

[FreeCourseSite.com] Udemy - Data Science AZ™ RealLife Data Science Exercises Included

  • [FreeCourseSite.com] Udemy - Data Science AZ™ RealLife Data Science Exercises Included.part1.rar 3.2 GB
  • [FreeCourseSite.com] Udemy - Data Science AZ™ RealLife Data Science Exercises Included.part2.rar 3.0 GB
[磁力链接] 添加时间:2023-12-26 大小:6.2 GB 最近下载:2025-07-20 热度:57


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