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204.8 B
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1. Course Content.mp4
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MP4
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17.1 MB
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1. Course Content.srt
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SRT
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6.4 KB
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1. Introduction.mp4
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MP4
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17 MB
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1. Learning Types.mp4
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MP4
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45.4 MB
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1. Learning Types.srt
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SRT
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8.9 KB
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1. Reading and Modifying a Dataset.mp4
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MP4
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154.6 MB
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1. Reading and Modifying a Dataset.srt
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SRT
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22.2 KB
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1. Simple and Multiple Linear Regression Concepts.mp4
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MP4
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212.2 MB
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1
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64.1 KB
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1. Introduction.srt
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SRT
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4.7 KB
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1. Python Source Codes.html
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HTML
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409.6 B
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1. Simple and Multiple Linear Regression Concepts.srt
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SRT
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31.2 KB
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1. Supervised Learning Models - Introduction and Understanding the Data.mp4
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MP4
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233.8 MB
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1. Supervised Learning Models - Introduction and Understanding the Data.srt
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SRT
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33.1 KB
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1.1 Data_Set.csv
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CSV
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614.4 B
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1.1 Python Source Codes.zip
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ZIP
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7.5 KB
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2
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597.4 KB
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3
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639.3 KB
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4
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829.7 KB
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5
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523.8 KB
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6
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47.1 KB
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7
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780.1 KB
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8
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984.8 KB
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10. Concatenation.mp4
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MP4
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65.9 MB
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10. Concatenation.srt
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SRT
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8.1 KB
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10. Hierarchical Clustering Model Development.mp4
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MP4
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145.9 MB
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10. Hierarchical Clustering Model Development.srt
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SRT
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17.6 KB
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10. Logistic Regression Concepts.mp4
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MP4
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10.9 MB
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10. Logistic Regression Concepts.srt
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SRT
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3.5 KB
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10. Pandas3.mp4
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MP4
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117.8 MB
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10. Pandas3.srt
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SRT
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16.6 KB
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10. Support Vector Regression Model Development.mp4
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MP4
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121 MB
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10. Support Vector Regression Model Development.srt
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SRT
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11.4 KB
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10.1 Data_New.csv
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CSV
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204.8 B
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11. Chapter 6 Quiz.html
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HTML
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204.8 B
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11. Chapter 7 Quiz.html
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HTML
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204.8 B
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11. Dummy Variable.mp4
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MP4
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57.6 MB
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11. Dummy Variable.srt
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SRT
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7.9 KB
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11. Logistic Regression Model Development.mp4
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MP4
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112.1 MB
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11. Logistic Regression Model Development.srt
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SRT
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11.9 KB
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11. Pandas4.mp4
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MP4
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203 MB
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11. Pandas4.srt
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SRT
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26.7 KB
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11.1 Data_Set.csv
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CSV
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614.4 B
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12. Model Evaluation Concepts.mp4
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MP4
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83.5 MB
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12. Model Evaluation Concepts.srt
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SRT
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19.3 KB
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12. Normalization.mp4
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MP4
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186.9 MB
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12. Normalization.srt
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SRT
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21.9 KB
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12. Visualization with Matplotlib1.mp4
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MP4
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99.4 MB
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12. Visualization with Matplotlib1.srt
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SRT
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16.1 KB
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13. Chapter3 Quiz.html
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HTML
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204.8 B
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13. Model Evaluation - Calculating with Python.mp4
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MP4
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174 MB
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13. Model Evaluation - Calculating with Python.srt
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SRT
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19.9 KB
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13. Visualization with Matplotlib2.mp4
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MP4
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205.2 MB
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13. Visualization with Matplotlib2.srt
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SRT
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25.7 KB
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14. Chapter 5 Quiz.html
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HTML
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204.8 B
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14. Visualization with Matplotlib3.mp4
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MP4
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188.8 MB
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14. Visualization with Matplotlib3.srt
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SRT
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19.6 KB
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15. Visualization with Matplotlib4.mp4
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MP4
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143 MB
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15. Visualization with Matplotlib4.srt
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SRT
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17.3 KB
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16. Visualization with Matplotlib5.mp4
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MP4
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129.2 MB
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16. Visualization with Matplotlib5.srt
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SRT
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14.4 KB
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17. Chapter 2 Quiz.html
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HTML
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204.8 B
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2. Chapter 4 Quiz.html
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HTML
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204.8 B
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2. K-means Concepts1.mp4
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MP4
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44.5 MB
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2. K-means Concepts1.srt
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SRT
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11.3 KB
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2. Multiple Linear Regression - Model Development.mp4
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MP4
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75.6 MB
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2. Multiple Linear Regression - Model Development.srt
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SRT
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8.7 KB
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2. NumPy1.mp4
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MP4
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37.5 MB
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2. NumPy1.srt
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SRT
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8.2 KB
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2. Statistics1.mp4
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MP4
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34 MB
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2. Statistics1.srt
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SRT
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10.1 KB
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2. Support Vector Regression - Model Tuning.mp4
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MP4
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125.6 MB
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2. Support Vector Regression - Model Tuning.srt
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SRT
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13.6 KB
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2. What is Machine Learning Some Basic Terms.mp4
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MP4
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25.8 MB
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2. What is Machine Learning Some Basic Terms.srt
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SRT
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7.1 KB
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2. k-NN Concepts.mp4
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MP4
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48 MB
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2. k-NN Concepts.srt
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SRT
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11.5 KB
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3. Evaluation Metrics - Concepts.mp4
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MP4
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49.5 MB
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3. Evaluation Metrics - Concepts.srt
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SRT
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12.6 KB
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3. K-Means - Model Tuning.mp4
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MP4
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15.3 MB
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3. K-Means - Model Tuning.srt
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SRT
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2.6 KB
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3. K-means Concepts2.mp4
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MP4
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21.3 MB
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3. K-means Concepts2.srt
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SRT
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7.1 KB
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3. NumPy2.mp4
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MP4
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56.9 MB
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3. NumPy2.srt
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SRT
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9.7 KB
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3. Python Installation.html
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HTML
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614.4 B
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3. Statistics2.mp4
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MP4
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207.5 MB
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3. Statistics2.srt
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SRT
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21.9 KB
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3. k-NN Model Development.mp4
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MP4
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140.7 MB
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3. k-NN Model Development.srt
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SRT
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16.5 KB
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4. Evaluation Metrics - Implementation.mp4
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MP4
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159.9 MB
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4. Evaluation Metrics - Implementation.srt
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SRT
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18.3 KB
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4. K-means Model Development1.mp4
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MP4
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36 MB
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4. K-means Model Development1.srt
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SRT
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5.2 KB
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4. NumPy3.mp4
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MP4
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84.5 MB
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4. NumPy3.srt
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SRT
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13.6 KB
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4. Python IDE.mp4
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MP4
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7.5 MB
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4. Python IDE.srt
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SRT
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2.8 KB
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4. Statistics3 - Covariance.mp4
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MP4
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107.5 MB
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4. Statistics3 - Covariance.srt
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SRT
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15.7 KB
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4. k-NN - Model Tuning.mp4
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MP4
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133.6 MB
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4. k-NN - Model Tuning.srt
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SRT
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13.1 KB
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4. k-NN Training-Set and Test-Set Creation.mp4
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MP4
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228.4 MB
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4. k-NN Training-Set and Test-Set Creation.srt
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SRT
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27.8 KB
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5. Decision Tree Concepts.mp4
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MP4
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25.6 MB
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5. Decision Tree Concepts.srt
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SRT
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7.6 KB
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5. IDE Installation.mp4
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MP4
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22.3 MB
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5. IDE Installation.srt
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SRT
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3.3 KB
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5. K-means Model Development2.mp4
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MP4
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103.8 MB
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5. K-means Model Development2.srt
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SRT
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13.8 KB
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5. Missing Values1.mp4
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MP4
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129.6 MB
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5. Missing Values1.srt
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SRT
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14.4 KB
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5. NumPy4.mp4
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MP4
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56.6 MB
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5. NumPy4.srt
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SRT
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7.7 KB
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5. Overfitting and Underfitting.mp4
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MP4
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72.1 MB
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5. Overfitting and Underfitting.srt
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SRT
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11.2 KB
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5. Polynomial Linear Regression Concepts.mp4
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MP4
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26.4 MB
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5. Polynomial Linear Regression Concepts.srt
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SRT
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6.7 KB
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6. Decision Tree Model Development.mp4
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MP4
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66.8 MB
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6. Decision Tree Model Development.srt
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SRT
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7 KB
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6. Installation of Required Libraries.mp4
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MP4
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70.8 MB
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6. Installation of Required Libraries.srt
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SRT
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8.6 KB
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6. K-means - Model Evaluation.mp4
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MP4
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102.4 MB
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6. K-means - Model Evaluation.srt
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SRT
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11.6 KB
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6. Missing Values2.mp4
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MP4
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219.4 MB
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6. Missing Values2.srt
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SRT
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22.4 KB
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6. NumPy5.mp4
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MP4
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152.6 MB
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6. NumPy5.srt
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SRT
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19.1 KB
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6. Polynomial Linear Regression Model Development.mp4
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MP4
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207 MB
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6. Polynomial Linear Regression Model Development.srt
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SRT
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20.8 KB
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7. DBSCAN Concepts.mp4
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MP4
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26.8 MB
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7. DBSCAN Concepts.srt
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SRT
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6.3 KB
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7. Decision Tree - Cross Validation.mp4
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MP4
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54.6 MB
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7. Decision Tree - Cross Validation.srt
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SRT
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9.7 KB
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7. NumPy6.mp4
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MP4
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134.5 MB
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7. NumPy6.srt
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SRT
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18.5 KB
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7. Outlier Detection1.mp4
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MP4
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73.2 MB
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7. Outlier Detection1.srt
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SRT
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13.3 KB
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7. Random Forest Concepts.mp4
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MP4
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30.2 MB
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7. Random Forest Concepts.srt
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SRT
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7.4 KB
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7. Spyder Interface.mp4
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MP4
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46.4 MB
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7. Spyder Interface.srt
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SRT
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8.9 KB
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8. DBSCAN Model Development.mp4
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MP4
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86.9 MB
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8. DBSCAN Model Development.srt
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SRT
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10.4 KB
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8. Naive Bayes Concepts.mp4
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MP4
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59.2 MB
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8. Naive Bayes Concepts.srt
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SRT
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16.3 KB
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8. Outlier Detection2.mp4
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MP4
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130.7 MB
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8. Outlier Detection2.srt
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SRT
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15.2 KB
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8. Pandas1.mp4
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MP4
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95.6 MB
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8. Pandas1.srt
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SRT
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17.3 KB
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8. Random Forest Model Development.mp4
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MP4
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246.2 MB
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8. Random Forest Model Development.srt
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SRT
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24.6 KB
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9. Hierarchical Clustering Concepts.mp4
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MP4
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24.3 MB
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9. Naive Bayes Model Development.mp4
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MP4
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58.9 MB
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9
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158.8 KB
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9. Hierarchical Clustering Concepts.srt
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SRT
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6.5 KB
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9. Naive Bayes Model Development.srt
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SRT
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6.8 KB
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9. Outlier Detection3.mp4
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MP4
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31 MB
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9. Outlier Detection3.srt
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SRT
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3.6 KB
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9. Pandas2.mp4
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MP4
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116.9 MB
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9. Pandas2.srt
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SRT
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17.3 KB
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9. Support Vector Regression Concepts.mp4
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MP4
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27 MB
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9. Support Vector Regression Concepts.srt
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SRT
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7.5 KB
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TutsNode.com.txt
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TXT
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102.4 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614.4 B
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10
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457 KB
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