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1. Gathering Business Knowledge.mp4
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MP4
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25.1 MB
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1. Gathering Business Knowledge.vtt
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3.4 KB
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1. Installing Python and Anaconda.mp4
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MP4
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18.6 MB
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1. Installing Python and Anaconda.vtt
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VTT
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2.2 KB
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1. Introduction to Machine Learning.mp4
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MP4
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123.9 MB
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1. Introduction to Machine Learning.vtt
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16.3 KB
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1. The Problem Statement.mp4
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MP4
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14.8 MB
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1. The Problem Statement.vtt
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1.4 KB
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1. Types of Data.mp4
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MP4
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25.9 MB
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1. Types of Data.vtt
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4.3 KB
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1. Welcome to the course!.mp4
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MP4
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20.6 MB
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1. Welcome to the course!.vtt
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VTT
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2.6 KB
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10. Multiple Linear Regression in Python.mp4
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MP4
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88.1 MB
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10. Multiple Linear Regression in Python.vtt
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VTT
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10.8 KB
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10. Outlier Treatment in Python.mp4
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MP4
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86.6 MB
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10. Outlier Treatment in Python.vtt
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11.2 KB
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11. Project Exercise 3.html
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HTML
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204.8 B
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11. Project Exercise 9.html
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HTML
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307.2 B
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12. Missing Value Imputation.mp4
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MP4
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27.6 MB
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12. Missing Value Imputation.vtt
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3.6 KB
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12. Test-train split.mp4
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MP4
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49.1 MB
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13. Bias Variance trade-off.mp4
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MP4
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29.6 MB
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13. Missing Value Imputation in Python.mp4
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MP4
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28.6 MB
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13. Missing Value Imputation in Python.vtt
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VTT
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3.6 KB
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14. Project Exercise 4.html
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HTML
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204.8 B
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14. Test train split in Python.mp4
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MP4
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57.8 MB
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15. Linear models other than OLS.mp4
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MP4
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19.2 MB
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15. Linear models other than OLS.vtt
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3.9 KB
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15. Seasonality in Data.mp4
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MP4
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20.9 MB
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15. Seasonality in Data.vtt
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3.3 KB
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16. Bi-variate analysis and Variable transformation.mp4
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MP4
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113.7 MB
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16. Bi-variate analysis and Variable transformation.vtt
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16.1 KB
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16. Subset selection techniques.mp4
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MP4
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87.1 MB
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16. Subset selection techniques.vtt
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11.2 KB
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17. Shrinkage methods Ridge and Lasso.mp4
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MP4
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52.5 MB
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17. Shrinkage methods Ridge and Lasso.vtt
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VTT
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7.2 KB
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17. Variable transformation and deletion in Python.mp4
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MP4
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53.4 MB
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17. Variable transformation and deletion in Python.vtt
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VTT
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6.5 KB
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18. Project Exercise 5.html
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HTML
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307.2 B
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18. Ridge regression and Lasso in Python.mp4
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MP4
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252 MB
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19. Non-usable variables.mp4
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MP4
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23.9 MB
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19. Non-usable variables.vtt
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4.8 KB
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19. Project Exercise 10.html
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HTML
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409.6 B
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2. Basic Equations and Ordinary Least Squares (OLS) method.mp4
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MP4
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50.3 MB
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2. Basic Equations and Ordinary Least Squares (OLS) method.vtt
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8.7 KB
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2. Building a Machine Learning Model.mp4
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MP4
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45.3 MB
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2. Building a Machine Learning Model.vtt
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8.6 KB
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2. Course contents.mp4
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MP4
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63.9 MB
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2. Data Exploration.mp4
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23.4 MB
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2. Data Exploration.vtt
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3.2 KB
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2. Opening Jupyter Notebook.mp4
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MP4
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73.1 MB
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2. Opening Jupyter Notebook.vtt
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8 KB
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2. Types of Statistics.mp4
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MP4
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13.2 MB
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2. Types of Statistics.vtt
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2.7 KB
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20. Dummy variable creation Handling qualitative data.mp4
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MP4
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40.6 MB
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20. Dummy variable creation Handling qualitative data.vtt
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4.3 KB
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20. Final Project Exercise.html
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HTML
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307.2 B
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20.1 Movie_collection_test.csv.csv
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11.7 KB
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21. Course Conclusion.html
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1.6 KB
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21. Dummy variable creation in Python.mp4
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MP4
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33.9 MB
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21. Dummy variable creation in Python.vtt
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4.8 KB
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22. Project Exercise 6.html
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HTML
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204.8 B
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23. Correlation Analysis.mp4
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MP4
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81.3 MB
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23. Correlation Analysis.vtt
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9.7 KB
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24. Correlation Analysis in Python.mp4
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MP4
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68 MB
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24. Correlation Analysis in Python.vtt
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VTT
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5.8 KB
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25. Project Exercise 7.html
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HTML
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307.2 B
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3. Describing data Graphically.mp4
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MP4
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82.2 MB
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3. Describing data Graphically.vtt
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11.3 KB
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3. Introduction to Jupyter.mp4
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MP4
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51.3 MB
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3. Introduction to Jupyter.vtt
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10.8 KB
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3. Introduction to Machine learning quiz.html
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HTML
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204.8 B
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3. Simple Linear Regression in Python.mp4
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MP4
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78.6 MB
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3. Simple Linear Regression in Python.vtt
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VTT
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9.8 KB
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3. The Dataset and the Data Dictionary.mp4
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MP4
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78.6 MB
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3. The Dataset and the Data Dictionary.vtt
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6.9 KB
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3.1 House_Price.csv.csv
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CSV
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53.5 KB
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4. Arithmetic operators in Python Python Basics.mp4
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MP4
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15.9 MB
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4. Arithmetic operators in Python Python Basics.vtt
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3.5 KB
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4. Importing Data in Python.mp4
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MP4
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32.5 MB
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4. Importing Data in Python.vtt
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4.9 KB
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4. Measures of Centers.mp4
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MP4
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45.7 MB
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4. Measures of Centers.vtt
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VTT
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6.4 KB
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4. Project Exercise 8.html
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HTML
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307.2 B
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4.1 House_Price.csv.csv
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CSV
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53.5 KB
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5. Assessing accuracy of predicted coefficients.mp4
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MP4
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104.4 MB
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5. Assessing accuracy of predicted coefficients.vtt
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VTT
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14 KB
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5. Practice Exercise 1.html
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HTML
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307.2 B
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5. Project exercise 1.html
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HTML
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409.6 B
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5. Strings in Python Python Basics.mp4
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MP4
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80.6 MB
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5. Strings in Python Python Basics.vtt
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VTT
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14.3 KB
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5.1 Exercise 1.pdf.pdf
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PDF
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553.8 KB
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5.1 Movie_collection_train.csv.csv
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CSV
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43.3 KB
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6. Assessing Model Accuracy RSE and R squared.mp4
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MP4
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49.7 MB
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6. Assessing Model Accuracy RSE and R squared.vtt
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VTT
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7.1 KB
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6. Lists, Tuples and Directories Python Basics.mp4
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MP4
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73.7 MB
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6. Lists, Tuples and Directories Python Basics.vtt
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14.6 KB
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6. Measures of Dispersion.mp4
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MP4
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28.4 MB
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6. Measures of Dispersion.vtt
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VTT
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4.7 KB
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6. Univariate analysis and EDD.mp4
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MP4
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27.3 MB
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6. Univariate analysis and EDD.vtt
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VTT
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3.1 KB
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7. EDD in Python.mp4
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MP4
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75.1 MB
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7. EDD in Python.vtt
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VTT
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9 KB
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7. Multiple Linear Regression.mp4
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MP4
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38.9 MB
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7. Multiple Linear Regression.vtt
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VTT
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5.1 KB
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7. Practice Exercise 2.html
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HTML
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307.2 B
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7. Working with Numpy Library of Python.mp4
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MP4
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54.1 MB
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7. Working with Numpy Library of Python.vtt
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VTT
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9.1 KB
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7.1 Exercise 2.pdf.pdf
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PDF
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469.9 KB
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8. Project Exercise 2.html
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HTML
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204.8 B
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8. The F - statistic.mp4
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MP4
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64.1 MB
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8. The F - statistic.vtt
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VTT
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8 KB
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8. Working with Panda Library of Python.mp4
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MP4
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56.5 MB
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8. Working with Panda Library of Python.vtt
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VTT
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7.2 KB
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9. Interpreting results of Categorical variables.mp4
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MP4
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27.1 MB
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9. Interpreting results of Categorical variables.vtt
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VTT
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4.7 KB
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9. Outlier Treatment.mp4
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MP4
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27.8 MB
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9. Outlier Treatment.vtt
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VTT
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4 KB
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9. Working with Seaborn Library of Python.mp4
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MP4
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48.9 MB
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Discuss.FTUForum.com.html
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HTML
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31.9 KB
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FTUForum.com.html
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HTML
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100.4 KB
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FreeCoursesOnline.Me.html
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HTML
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108.3 KB
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How you can help Team-FTU.txt
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TXT
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204.8 B
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Torrent Downloaded From GloDls.to.txt
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TXT
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102.4 B
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[TGx]Downloaded from torrentgalaxy.org.txt
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TXT
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512 B
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