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1. Basic Terminologies.mp4
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MP4
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40.4 MB
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1. Basic Terminologies.srt
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SRT
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9.5 KB
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1. Building Neural Network for Regression Problem.mp4
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MP4
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155.9 MB
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1. Building Neural Network for Regression Problem.srt
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SRT
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21.7 KB
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1. Dataset for classification.mp4
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MP4
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56.1 MB
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1. Dataset for classification.srt
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SRT
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7.2 KB
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1. Different ways to create ANN using Keras.mp4
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MP4
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10.8 MB
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1. Different ways to create ANN using Keras.srt
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SRT
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1.9 KB
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1. Gathering Business Knowledge.mp4
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MP4
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22.3 MB
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1. Gathering Business Knowledge.srt
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SRT
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3.9 KB
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1. Hyperparameter Tuning.mp4
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MP4
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60.6 MB
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1. Hyperparameter Tuning.srt
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SRT
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9.4 KB
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1. Hyperparameters.mp4
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MP4
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45.3 MB
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1. Hyperparameters.srt
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SRT
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8.9 KB
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1. Installing Python and Anaconda.mp4
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MP4
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16.3 MB
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1. Installing Python and Anaconda.srt
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SRT
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2.6 KB
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1. Keras and Tensorflow.mp4
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MP4
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14.9 MB
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1. Keras and Tensorflow.srt
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SRT
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3.6 KB
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1. Neural Networks Classification Assignment.html
|
HTML
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204.8 B
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1. Perceptron.mp4
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MP4
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44.8 MB
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1. Perceptron.srt
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SRT
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9.7 KB
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1. Saving - Restoring Models and Using Callbacks.mp4
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MP4
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151.6 MB
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1. Saving - Restoring Models and Using Callbacks.srt
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SRT
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18.8 KB
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1. Some Important Concepts.mp4
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MP4
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62.2 MB
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1. Some Important Concepts.srt
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SRT
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13.1 KB
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1. Test your conceptual understanding.html
|
HTML
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204.8 B
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1. The Problem Statement.mp4
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MP4
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9.4 MB
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1. The Problem Statement.srt
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SRT
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1.6 KB
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1. The final milestone!.mp4
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MP4
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11.8 MB
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1. The final milestone!.srt
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SRT
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1.7 KB
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1. Using Functional API for complex architectures.mp4
|
MP4
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92.1 MB
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1. Using Functional API for complex architectures.srt
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SRT
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11.5 KB
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1. Welcome to the course.mp4
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MP4
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21.4 MB
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1. Welcome to the course.srt
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SRT
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3.1 KB
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10. Missing Value Imputation.mp4
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MP4
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25 MB
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10. Missing Value Imputation.srt
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SRT
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4.1 KB
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10. Test-train split.mp4
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MP4
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41.9 MB
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10. Test-train split.srt
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SRT
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10.1 KB
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11. Bias Variance trade-off.mp4
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MP4
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25.1 MB
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11. Bias Variance trade-off.srt
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SRT
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6.4 KB
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11. Missing Value Imputation in Python.mp4
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MP4
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23.4 MB
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11. Missing Value Imputation in Python.srt
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SRT
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4.1 KB
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12. Seasonality in Data.mp4
|
MP4
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17 MB
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12. Seasonality in Data.srt
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SRT
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3.8 KB
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12. Test train split in Python.mp4
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MP4
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44.9 MB
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12. Test train split in Python.srt
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SRT
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8.1 KB
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13. Bi-variate analysis and Variable transformation.mp4
|
MP4
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100.4 MB
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13. Bi-variate analysis and Variable transformation.srt
|
SRT
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18.3 KB
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14. Variable transformation and deletion in Python.mp4
|
MP4
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44.1 MB
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14. Variable transformation and deletion in Python.srt
|
SRT
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7.5 KB
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15. Non-usable variables.mp4
|
MP4
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20.2 MB
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15. Non-usable variables.srt
|
SRT
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5.4 KB
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16. Dummy variable creation Handling qualitative data.mp4
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MP4
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36.8 MB
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16. Dummy variable creation Handling qualitative data.srt
|
SRT
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4.9 KB
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17. Dummy variable creation in Python.mp4
|
MP4
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26.5 MB
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17. Dummy variable creation in Python.srt
|
SRT
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5.5 KB
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18. Correlation Analysis.mp4
|
MP4
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71.6 MB
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18. Correlation Analysis.srt
|
SRT
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11 KB
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19. Correlation Analysis in Python.mp4
|
MP4
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55.3 MB
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|
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19. Correlation Analysis in Python.srt
|
SRT
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6.6 KB
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2. Activation Functions.mp4
|
MP4
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34.6 MB
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|
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2. Activation Functions.srt
|
SRT
|
7.9 KB
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2. Basic Equations and Ordinary Least Squares (OLS) method.mp4
|
MP4
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43.4 MB
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2. Basic Equations and Ordinary Least Squares (OLS) method.srt
|
SRT
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9.9 KB
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2. Building the Neural Network using Keras.mp4
|
MP4
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79.1 MB
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|
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2. Building the Neural Network using Keras.srt
|
SRT
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12 KB
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2. Congratulations & About your certificate.html
|
HTML
|
1.6 KB
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|
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2. Data Exploration.mp4
|
MP4
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20.5 MB
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2. Data Exploration.srt
|
SRT
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3.6 KB
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2. Gradient Descent.mp4
|
MP4
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60.3 MB
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2. Gradient Descent.srt
|
SRT
|
11.9 KB
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2. Installing Tensorflow and Keras.mp4
|
MP4
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20.1 MB
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2. Installing Tensorflow and Keras.srt
|
SRT
|
3.8 KB
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|
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2. Introduction to Neural Networks and Course flow.mp4
|
MP4
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29.1 MB
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|
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2. Introduction to Neural Networks and Course flow.srt
|
SRT
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4.6 KB
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2. Normalization and Test-Train split.mp4
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MP4
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44.2 MB
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2. Normalization and Test-Train split.srt
|
SRT
|
5.7 KB
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2. Opening Jupyter Notebook.mp4
|
MP4
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65.2 MB
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|
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2. Opening Jupyter Notebook.srt
|
SRT
|
9.1 KB
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2. Quiz.html
|
HTML
|
204.8 B
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3. Assessing accuracy of predicted coefficients.mp4
|
MP4
|
92.1 MB
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|
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3. Assessing accuracy of predicted coefficients.srt
|
SRT
|
15.9 KB
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3. Back Propagation.mp4
|
MP4
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122.2 MB
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|
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3. Back Propagation.srt
|
SRT
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22.8 KB
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3. Compiling and Training the Neural Network model.mp4
|
MP4
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81.7 MB
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|
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3. Compiling and Training the Neural Network model.srt
|
SRT
|
9.6 KB
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|
|
3. Course Resources.html
|
HTML
|
307.2 B
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|
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3. Introduction to Jupyter.mp4
|
MP4
|
40.9 MB
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|
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3. Introduction to Jupyter.srt
|
SRT
|
12.3 KB
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|
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3. More about test-train split.html
|
HTML
|
512 B
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3. Python - Creating Perceptron model.mp4
|
MP4
|
86.6 MB
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|
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3. Python - Creating Perceptron model.srt
|
SRT
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14.5 KB
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|
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3. The Dataset and the Data Dictionary.mp4
|
MP4
|
69.4 MB
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|
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3. The Dataset and the Data Dictionary.srt
|
SRT
|
7.8 KB
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|
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4. Add-on Resources.html
|
HTML
|
102.4 B
|
|
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4. Arithmetic operators in Python Python Basics.mp4
|
MP4
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12.7 MB
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|
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4. Arithmetic operators in Python Python Basics.srt
|
SRT
|
4 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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|
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4. Assessing Model Accuracy RSE and R squared.srt
|
SRT
|
8 KB
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4. Evaluating performance and Predicting using Keras.mp4
|
MP4
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69.9 MB
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|
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4. Evaluating performance and Predicting using Keras.srt
|
SRT
|
9 KB
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4. This is a milestone!.mp4
|
MP4
|
20.7 MB
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|
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4. This is a milestone!.srt
|
SRT
|
3.8 KB
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|
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4.1 Files_linear_py.zip
|
ZIP
|
8.9 MB
|
|
|
5. Importing Data in Python.mp4
|
MP4
|
27.8 MB
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|
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5. Importing Data in Python.srt
|
SRT
|
5.6 KB
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|
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5. Simple Linear Regression in Python.mp4
|
MP4
|
63.4 MB
|
|
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5. Simple Linear Regression in Python.srt
|
SRT
|
11.4 KB
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|
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5. Strings in Python Python Basics.mp4
|
MP4
|
64.4 MB
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|
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5. Strings in Python Python Basics.srt
|
SRT
|
16.4 KB
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|
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6. Lists, Tuples and Directories Python Basics.mp4
|
MP4
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60.3 MB
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|
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6. Lists, Tuples and Directories Python Basics.srt
|
SRT
|
17 KB
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|
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6. Multiple Linear Regression.mp4
|
MP4
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34.3 MB
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|
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6. Multiple Linear Regression.srt
|
SRT
|
5.7 KB
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6. Univariate analysis and EDD.mp4
|
MP4
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24.2 MB
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|
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6. Univariate analysis and EDD.srt
|
SRT
|
3.4 KB
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|
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7. EDD in Python.mp4
|
MP4
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61.8 MB
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|
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7. EDD in Python.srt
|
SRT
|
10.4 KB
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|
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7. The F - statistic.mp4
|
MP4
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56 MB
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|
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7. The F - statistic.srt
|
SRT
|
9 KB
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|
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7. Working with Numpy Library of Python.mp4
|
MP4
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43.9 MB
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|
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7. Working with Numpy Library of Python.srt
|
SRT
|
10.5 KB
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|
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8. Interpreting results of Categorical variables.mp4
|
MP4
|
22.5 MB
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|
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8. Interpreting results of Categorical variables.srt
|
SRT
|
5.3 KB
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8. Outlier Treatment.mp4
|
MP4
|
24.5 MB
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|
|
8. Outlier Treatment.srt
|
SRT
|
4.5 KB
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|
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8. Working with Pandas Library of Python.mp4
|
MP4
|
46.9 MB
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|
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8. Working with Pandas Library of Python.srt
|
SRT
|
8.2 KB
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|
|
9. Multiple Linear Regression in Python.mp4
|
MP4
|
69.7 MB
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|
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9. Multiple Linear Regression in Python.srt
|
SRT
|
12.3 KB
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|
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9. Outlier Treatment in Python.mp4
|
MP4
|
70.2 MB
|
|
|
9. Outlier Treatment in Python.srt
|
SRT
|
13 KB
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|
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9. Working with Seaborn Library of Python.mp4
|
MP4
|
40.4 MB
|
|
|
9. Working with Seaborn Library of Python.srt
|
SRT
|
7.5 KB
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|
|
[CourseClub.ME].url
|
URL
|
102.4 B
|
|
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[CourseClub.Me].url
|
URL
|
102.4 B
|
|
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[GigaCourse.Com].url
|
URL
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0 B
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