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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. Building Regression Model with Functional AP.mp4
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MP4
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131.1 MB
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1. Building Regression Model with Functional AP.srt
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SRT
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13.1 KB
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1. Building,Compiling and Training.mp4
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MP4
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130.7 MB
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1. Building,Compiling and Training.srt
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SRT
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15.4 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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45.4 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. Installing R and R studio.mp4
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MP4
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35.7 MB
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1. Installing R and R studio.srt
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SRT
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5.6 KB
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1. Introduction.mp4
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MP4
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29.1 MB
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1. Introduction.srt
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SRT
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4.6 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. 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. Python - Dataset for classification problem.mp4
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MP4
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56.2 MB
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1. Python - Dataset for classification problem.srt
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SRT
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7.2 KB
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1. Saving - Restoring Models and Using Callbacks.mp4
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MP4
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216.1 MB
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1. Saving - Restoring Models and Using Callbacks.srt
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SRT
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20.4 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-train split.mp4
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MP4
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41.9 MB
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1. Test-train split.srt
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SRT
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10.1 KB
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10. Outlier Treatment in Python.mp4
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MP4
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70.2 MB
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10. Outlier Treatment in Python.srt
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SRT
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13 KB
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11. Outlier Treatment in R.mp4
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MP4
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30.7 MB
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11. Outlier Treatment in R.srt
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SRT
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4.3 KB
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12. Missing Value imputation.mp4
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MP4
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25 MB
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12. Missing Value imputation.srt
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SRT
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4.1 KB
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13. Missing Value Imputation in Python.mp4
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MP4
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23.4 MB
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13. Missing Value Imputation in Python.srt
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SRT
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4.1 KB
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14. Missing Value imputation in R.mp4
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MP4
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26 MB
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14. Missing Value imputation in R.srt
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SRT
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3.5 KB
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15. Seasonality in Data.mp4
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MP4
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17 MB
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15. Seasonality in Data.srt
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SRT
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3.8 KB
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16. Bi-variate Analysis and Variable Transformation.mp4
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MP4
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100.5 MB
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16. Bi-variate Analysis and Variable Transformation.srt
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SRT
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18.3 KB
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17. Variable transformation and deletion in Python.mp4
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MP4
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44.1 MB
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17. Variable transformation and deletion in Python.srt
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SRT
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7.5 KB
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18. Variable transformation in R.mp4
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MP4
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55.4 MB
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18. Variable transformation in R.srt
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SRT
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9 KB
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19. Non Usable Variables.mp4
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MP4
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20.2 MB
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19. Non Usable Variables.srt
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SRT
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5.4 KB
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2. Activation Functions.mp4
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MP4
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34.6 MB
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2. Activation Functions.srt
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SRT
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7.9 KB
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2. Basics of R and R studio.mp4
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MP4
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38.9 MB
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2. Basics of R and R studio.srt
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SRT
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10.8 KB
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2. Bias Variance trade-off.mp4
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MP4
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25.1 MB
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2. Bias Variance trade-off.srt
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SRT
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6.4 KB
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2. Building the Neural Network using Keras.mp4
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MP4
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79.1 MB
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2. Building the Neural Network using Keras.srt
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SRT
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12 KB
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2. Complex Architectures using Functional API.mp4
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MP4
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79.6 MB
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2. Complex Architectures using Functional API.srt
|
SRT
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8.3 KB
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2. Course Resources.html
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HTML
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102.4 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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SRT
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3.6 KB
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2. Evaluating and Predicting.mp4
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MP4
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99.3 MB
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2. Evaluating and Predicting.srt
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SRT
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9.4 KB
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2. Gradient Descent.mp4
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MP4
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60.3 MB
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2. Gradient Descent.srt
|
SRT
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11.9 KB
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2. Installing Tensorflow and Keras in Python.mp4
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MP4
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20.1 MB
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2. Installing Tensorflow and Keras in Python.srt
|
SRT
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3.8 KB
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2. Opening Jupyter Notebook.mp4
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MP4
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65.2 MB
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2. Opening Jupyter Notebook.srt
|
SRT
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9.1 KB
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2. Python - Normalization and Test-Train split.mp4
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MP4
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44.2 MB
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2. Python - Normalization and Test-Train split.srt
|
SRT
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5.7 KB
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2. Using Functional API for complex architectures.mp4
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MP4
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92.1 MB
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2. Using Functional API for complex architectures.srt
|
SRT
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11.5 KB
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2.1 keras.zip
|
ZIP
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5.5 MB
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20. Dummy variable creation Handling qualitative data.mp4
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MP4
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36.8 MB
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20. Dummy variable creation Handling qualitative data.srt
|
SRT
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4.9 KB
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21. Dummy variable creation in Python.mp4
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MP4
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26.5 MB
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21. Dummy variable creation in Python.srt
|
SRT
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5.5 KB
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22. Dummy variable creation in R.mp4
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MP4
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44 MB
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22. Dummy variable creation in R.srt
|
SRT
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5.2 KB
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3. Back Propagation.mp4
|
MP4
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122.2 MB
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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
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MP4
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81.7 MB
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3. Compiling and Training the Neural Network model.srt
|
SRT
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9.6 KB
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3. Installing TensorFlow and Keras in R.mp4
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MP4
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22.8 MB
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3. Installing TensorFlow and Keras in R.srt
|
SRT
|
3 KB
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3. Introduction to Jupyter.mp4
|
MP4
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40.9 MB
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3. Introduction to Jupyter.srt
|
SRT
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12.3 KB
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3. Packages in R.mp4
|
MP4
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82.9 MB
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3. Packages in R.srt
|
SRT
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11.5 KB
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3. Python - Creating Perceptron model.mp4
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MP4
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86.6 MB
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3. Python - Creating Perceptron model.srt
|
SRT
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14.5 KB
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3. R - Dataset, Normalization and Test-Train set.mp4
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MP4
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111.8 MB
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3. R - Dataset, Normalization and Test-Train set.srt
|
SRT
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12.1 KB
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3. Test train split in Python.mp4
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MP4
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44.9 MB
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3. Test train split in Python.srt
|
SRT
|
8.1 KB
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3. The Data and the Data Dictionary.mp4
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MP4
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69.3 MB
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3. The Data and the Data Dictionary.srt
|
SRT
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7.8 KB
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4. Arithmetic operators in Python Python Basics.mp4
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MP4
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12.7 MB
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4. Arithmetic operators in Python Python Basics.srt
|
SRT
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4 KB
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4. Evaluating performance and Predicting using Keras.mp4
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MP4
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69.9 MB
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4. Evaluating performance and Predicting using Keras.srt
|
SRT
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9 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
|
SRT
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5.6 KB
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4. Inputting data part 1 Inbuilt datasets of R.mp4
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MP4
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40.7 MB
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4. Inputting data part 1 Inbuilt datasets of R.srt
|
SRT
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4 KB
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4. Quiz.html
|
HTML
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204.8 B
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4. Test train split in R.mp4
|
MP4
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75.6 MB
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4. Test train split in R.srt
|
SRT
|
8.4 KB
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5. Importing the dataset into R.mp4
|
MP4
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13.1 MB
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5. Importing the dataset into R.srt
|
SRT
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2.6 KB
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5. Inputting data part 2 Manual data entry.mp4
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MP4
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25.5 MB
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5. Inputting data part 2 Manual data entry.srt
|
SRT
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3 KB
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5. Strings in Python Python Basics.mp4
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MP4
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64.4 MB
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5. Strings in Python Python Basics.srt
|
SRT
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16.4 KB
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6. Inputting data part 3 Importing from CSV or Text files.mp4
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MP4
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60.1 MB
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6. Inputting data part 3 Importing from CSV or Text files.srt
|
SRT
|
6.4 KB
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6. Lists, Tuples and Directories Python Basics.mp4
|
MP4
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60.3 MB
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6. Lists, Tuples and Directories Python Basics.srt
|
SRT
|
17 KB
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6. Univariate Analysis and EDD.mp4
|
MP4
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24.2 MB
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6. Univariate Analysis and EDD.srt
|
SRT
|
3.4 KB
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7. Creating Barplots in R.mp4
|
MP4
|
96.8 MB
|
|
|
7. Creating Barplots in R.srt
|
SRT
|
13.4 KB
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7. EDD in Python.mp4
|
MP4
|
61.8 MB
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7. EDD in Python.srt
|
SRT
|
10.4 KB
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7. Working with Numpy Library of Python.mp4
|
MP4
|
43.9 MB
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7. Working with Numpy Library of Python.srt
|
SRT
|
10.5 KB
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8. Creating Histograms in R.mp4
|
MP4
|
42 MB
|
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8. Creating Histograms in R.srt
|
SRT
|
5.9 KB
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8. EDD in R.mp4
|
MP4
|
97 MB
|
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8. EDD in R.srt
|
SRT
|
11.6 KB
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8. Working with Pandas Library of Python.mp4
|
MP4
|
46.9 MB
|
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8. Working with Pandas Library of Python.srt
|
SRT
|
8.2 KB
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8.1 Product.txt
|
TXT
|
139.5 KB
|
|
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8.2 Customer.csv
|
CSV
|
64 KB
|
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9. Outlier Treatment.mp4
|
MP4
|
24.5 MB
|
|
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9. Outlier Treatment.srt
|
SRT
|
4.5 KB
|
|
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9. Working with Seaborn Library of Python.mp4
|
MP4
|
40.3 MB
|
|
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9. Working with Seaborn Library of Python.srt
|
SRT
|
7.5 KB
|
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Readme.txt
|
TXT
|
921.6 B
|
|
|
[GigaCourse.com].url
|
URL
|
0 B
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![Udemy - Deep Learning with Keras and Tensorflow in Python and R [GC]](/static/img/no-torrent-image.png "Udemy - Deep Learning with Keras and Tensorflow in Python and R [GC]")
