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1. Gathering Business Knowledge.mp4
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22.3 MB
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1. Gathering Business Knowledge.srt
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4.1 KB
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1. Installing Python and Anaconda.mp4
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16.3 MB
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1. Installing Python and Anaconda.srt
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2.6 KB
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1. Introduction.mp4
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MP4
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24.7 MB
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1. Introduction.srt
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3.7 KB
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1. Test-Train Split.mp4
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39.3 MB
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1. Test-Train Split.srt
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10.6 KB
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1. The Dataset and the Data Dictionary.mp4
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MP4
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79.2 MB
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1. The Dataset and the Data Dictionary.srt
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9.3 KB
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1. The Problem Statement.mp4
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9.4 MB
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1. The Problem Statement.srt
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1.7 KB
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1. The final milestone!.mp4
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11.9 MB
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1. The final milestone!.srt
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1.7 KB
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1. Types of Data.mp4
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21.8 MB
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1. Types of Data.srt
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5 KB
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1. Why can't we use Linear Regression.mp4
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16.9 MB
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1. Why can't we use Linear Regression.srt
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5.5 KB
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10. Evaluating model performance in Python.mp4
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9 MB
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10. Evaluating model performance in Python.srt
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2.7 KB
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10. Missing Value Imputation in Python.mp4
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MP4
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23.4 MB
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10. Missing Value Imputation in Python.srt
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4.8 KB
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10. Test-train split.mp4
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41.9 MB
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10. Test-train split.srt
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10.9 KB
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10. Working with Seaborn Library of Python.mp4
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MP4
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40.4 MB
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10. Working with Seaborn Library of Python.srt
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8.6 KB
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11. Bias Variance trade-off.mp4
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25.1 MB
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11. Bias Variance trade-off.srt
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7 KB
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11. Seasonality in Data.mp4
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MP4
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17 MB
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11. Seasonality in Data.srt
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SRT
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4 KB
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12. Bi-variate analysis and Variable transformation.mp4
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MP4
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100.4 MB
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12. Bi-variate analysis and Variable transformation.srt
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SRT
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19.3 KB
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12. More about test-train split.html
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HTML
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512 B
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13. Test train split in Python.mp4
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MP4
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44.9 MB
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13. Test train split in Python.srt
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8.7 KB
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13. Variable transformation and deletion in Python.mp4
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MP4
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44.1 MB
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13. Variable transformation and deletion in Python.srt
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9 KB
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14. Non-usable variables.mp4
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MP4
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20.2 MB
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14. Non-usable variables.srt
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6 KB
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15. Dummy variable creation Handling qualitative data.mp4
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36.8 MB
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15. Dummy variable creation Handling qualitative data.srt
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5.8 KB
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16. Dummy variable creation in Python.mp4
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MP4
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26.5 MB
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16. Dummy variable creation in Python.srt
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6.2 KB
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17. Correlation Analysis.mp4
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MP4
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71.6 MB
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17. Correlation Analysis.srt
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SRT
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11.9 KB
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18. Correlation Analysis in Python.mp4
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MP4
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55.3 MB
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18. Correlation Analysis in Python.srt
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SRT
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7 KB
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19. Quiz.html
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HTML
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204.8 B
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2. Basic Equations and Ordinary Least Squares (OLS) method.mp4
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MP4
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43.4 MB
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2. Basic Equations and Ordinary Least Squares (OLS) method.srt
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SRT
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10.4 KB
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2. Congratulations & About your certificate.html
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HTML
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1.6 KB
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2. Course Resources.html
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HTML
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409.6 B
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2. Data Exploration.mp4
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MP4
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20.5 MB
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2. Data Exploration.srt
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3.9 KB
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2. Data Import in Python.mp4
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MP4
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22.1 MB
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2. Data Import in Python.srt
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SRT
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5.3 KB
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2. Logistic Regression.mp4
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MP4
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32.9 MB
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2. Logistic Regression.srt
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SRT
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8.6 KB
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2. Test-Train Split in Python.mp4
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MP4
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33.1 MB
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2. Test-Train Split in Python.srt
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SRT
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7.4 KB
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2. This is a milestone!.mp4
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MP4
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20.6 MB
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2. This is a milestone!.srt
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SRT
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3.8 KB
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2. Types of Statistics.mp4
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MP4
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10.9 MB
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2. Types of Statistics.srt
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SRT
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3.2 KB
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3. Assessing accuracy of predicted coefficients.mp4
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MP4
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92.1 MB
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3. Assessing accuracy of predicted coefficients.srt
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SRT
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17.4 KB
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3. Describing data Graphically.mp4
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MP4
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65.3 MB
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3. Describing data Graphically.srt
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SRT
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12.8 KB
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3. EDD in Python.mp4
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MP4
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77.6 MB
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3. EDD in Python.srt
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SRT
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17.8 KB
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3. Opening Jupyter Notebook.mp4
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MP4
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65.2 MB
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3. Opening Jupyter Notebook.srt
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SRT
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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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69.4 MB
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3. The Dataset and the Data Dictionary.srt
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SRT
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8.8 KB
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3. Training a Simple Logistic Model in Python.mp4
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MP4
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47.9 MB
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3. Training a Simple Logistic Model in Python.srt
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SRT
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10.6 KB
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4. Assessing Model Accuracy RSE and R squared.mp4
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MP4
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43.6 MB
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4. Assessing Model Accuracy RSE and R squared.srt
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SRT
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8.4 KB
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4. Importing Data in Python.mp4
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MP4
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27.8 MB
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4. Importing Data in Python.srt
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SRT
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6.5 KB
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4. Introduction to Jupyter.mp4
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MP4
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40.9 MB
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4. Introduction to Jupyter.srt
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SRT
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13.2 KB
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4. Measures of Centers.mp4
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MP4
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38.6 MB
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4. Measures of Centers.srt
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SRT
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7.9 KB
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4. Outlier Treatment in Python.mp4
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MP4
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47.3 MB
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4. Outlier Treatment in Python.srt
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SRT
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9.6 KB
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4. Result of Simple Logistic Regression.mp4
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MP4
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26.9 MB
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4. Result of Simple Logistic Regression.srt
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SRT
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5.9 KB
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5. Arithmetic operators in Python Python Basics.mp4
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MP4
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12.7 MB
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5. Arithmetic operators in Python Python Basics.srt
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SRT
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4.4 KB
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5. Logistic with multiple predictors.mp4
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MP4
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8.5 MB
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5. Logistic with multiple predictors.srt
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SRT
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3 KB
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5. Measures of Dispersion.mp4
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MP4
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22.9 MB
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5. Measures of Dispersion.srt
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SRT
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5.2 KB
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5. Missing Value Imputation in Python.mp4
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MP4
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22.6 MB
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5. Missing Value Imputation in Python.srt
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SRT
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4.8 KB
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5. Simple Linear Regression in Python.mp4
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MP4
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63.4 MB
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5. Simple Linear Regression in Python.srt
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SRT
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13.1 KB
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5. Univariate analysis and EDD.mp4
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MP4
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24.2 MB
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5. Univariate analysis and EDD.srt
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SRT
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4 KB
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6. EDD in Python.mp4
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MP4
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61.8 MB
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6. EDD in Python.srt
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SRT
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11.6 KB
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6. Multiple Linear Regression.mp4
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MP4
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34.3 MB
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6. Multiple Linear Regression.srt
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SRT
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6.3 KB
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6. Strings in Python Python Basics.mp4
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MP4
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64.4 MB
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6. Strings in Python Python Basics.srt
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SRT
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18 KB
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6. Training multiple predictor Logistic model in Python.mp4
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MP4
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26.2 MB
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6. Training multiple predictor Logistic model in Python.srt
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SRT
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6 KB
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6. Variable transformation and Deletion in Python.mp4
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MP4
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29.2 MB
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6. Variable transformation and Deletion in Python.srt
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SRT
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4.3 KB
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7. Confusion Matrix.mp4
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MP4
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21.1 MB
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7. Confusion Matrix.srt
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SRT
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4.9 KB
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7. Dummy variable creation in Python.mp4
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MP4
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26.4 MB
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7. Dummy variable creation in Python.srt
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SRT
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6.1 KB
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7. Lists, Tuples and Directories Python Basics.mp4
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MP4
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60.3 MB
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7. Lists, Tuples and Directories Python Basics.srt
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SRT
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20.1 KB
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7. Outlier Treatment.mp4
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MP4
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24.5 MB
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7. Outlier Treatment.srt
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SRT
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5.1 KB
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7. The F - statistic.mp4
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MP4
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56 MB
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7. The F - statistic.srt
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SRT
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9.7 KB
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8. Creating Confusion Matrix in Python.mp4
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MP4
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51.3 MB
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8. Creating Confusion Matrix in Python.srt
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SRT
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10.8 KB
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8. Interpreting results of Categorical variables.mp4
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MP4
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22.5 MB
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8. Interpreting results of Categorical variables.srt
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SRT
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5.9 KB
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8. Outlier Treatment in Python.mp4
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MP4
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70.2 MB
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8. Outlier Treatment in Python.srt
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SRT
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14.1 KB
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8. Working with Numpy Library of Python.mp4
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MP4
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43.9 MB
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8. Working with Numpy Library of Python.srt
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SRT
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11.8 KB
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9. Evaluating performance of model.mp4
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MP4
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35.2 MB
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9. Evaluating performance of model.srt
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SRT
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9.4 KB
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9. Missing Value Imputation.mp4
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MP4
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25 MB
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9. Missing Value Imputation.srt
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SRT
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4.2 KB
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9. Multiple Linear Regression in Python.mp4
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MP4
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69.7 MB
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9. Multiple Linear Regression in Python.srt
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SRT
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14.3 KB
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9. Working with Pandas Library of Python.mp4
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MP4
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46.9 MB
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9. Working with Pandas Library of Python.srt
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SRT
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10.1 KB
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[CourseClub.ME].url
|
URL
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102.4 B
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[FCS Forum].url
|
URL
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102.4 B
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[FreeCourseSite.com].url
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URL
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102.4 B
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[GigaCourse.Com].url
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URL
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0 B
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![Udemy - Linear Regression and Logistic Regression in Python [FCS]](/static/img/no-torrent-image.png "Udemy - Linear Regression and Logistic Regression in Python [FCS]")
