[GigaCourse.com] Udemy - Deep Learning with Keras and Tensorflow in Python and R

• [GigaCourse.com] Udemy - Deep Learning with Keras and Tensorflow in Python and R
• 1. Introduction/1. Introduction.mp4 29.1 MB
• 1. Introduction/1. Introduction.srt 4.6 KB
• 1. Introduction/2. Course Resources.html 117 B
• 1. Introduction/2.1 keras.zip 5.5 MB
• 10. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp4 10.8 MB
• 10. Python - Building and training the Model/1. Different ways to create ANN using Keras.srt 1.9 KB
• 10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 79.1 MB
• 10. Python - Building and training the Model/2. Building the Neural Network using Keras.srt 12 KB
• 10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 81.7 MB
• 10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.srt 9.6 KB
• 10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 69.9 MB
• 10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.srt 9 KB
• 11. R - Building and training the Model/1. Building,Compiling and Training.mp4 130.7 MB
• 11. R - Building and training the Model/1. Building,Compiling and Training.srt 15.4 KB
• 11. R - Building and training the Model/2. Evaluating and Predicting.mp4 99.3 MB
• 11. R - Building and training the Model/2. Evaluating and Predicting.srt 9.4 KB
• 12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.mp4 155.9 MB
• 12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.srt 21.7 KB
• 12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.mp4 92.1 MB
• 12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.srt 11.5 KB
• 13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.mp4 131.1 MB
• 13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.srt 13.1 KB
• 13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.mp4 79.6 MB
• 13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.srt 8.3 KB
• 14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 151.6 MB
• 14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt 18.8 KB
• 15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 216.1 MB
• 15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt 20.4 KB
• 16. Python - Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 60.6 MB
• 16. Python - Hyperparameter Tuning/1. Hyperparameter Tuning.srt 9.4 KB
• 17. R - Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 60.6 MB
• 17. R - Hyperparameter Tuning/1. Hyperparameter Tuning.srt 9.4 KB
• 18. Add on Data Preprocessing/1. Gathering Business Knowledge.mp4 22.3 MB
• 18. Add on Data Preprocessing/1. Gathering Business Knowledge.srt 3.9 KB
• 18. Add on Data Preprocessing/10. Outlier Treatment in Python.mp4 70.2 MB
• 18. Add on Data Preprocessing/10. Outlier Treatment in Python.srt 13 KB
• 18. Add on Data Preprocessing/11. Outlier Treatment in R.mp4 30.7 MB
• 18. Add on Data Preprocessing/11. Outlier Treatment in R.srt 4.3 KB
• 18. Add on Data Preprocessing/12. Missing Value imputation.mp4 25 MB
• 18. Add on Data Preprocessing/12. Missing Value imputation.srt 4.1 KB
• 18. Add on Data Preprocessing/13. Missing Value Imputation in Python.mp4 23.4 MB
• 18. Add on Data Preprocessing/13. Missing Value Imputation in Python.srt 4.1 KB
• 18. Add on Data Preprocessing/14. Missing Value imputation in R.mp4 26 MB
• 18. Add on Data Preprocessing/14. Missing Value imputation in R.srt 3.5 KB
• 18. Add on Data Preprocessing/15. Seasonality in Data.mp4 17 MB
• 18. Add on Data Preprocessing/15. Seasonality in Data.srt 3.8 KB
• 18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 100.5 MB
• 18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.srt 18.3 KB
• 18. Add on Data Preprocessing/17. Variable transformation and deletion in Python.mp4 44.1 MB
• 18. Add on Data Preprocessing/17. Variable transformation and deletion in Python.srt 7.5 KB
• 18. Add on Data Preprocessing/18. Variable transformation in R.mp4 55.4 MB
• 18. Add on Data Preprocessing/18. Variable transformation in R.srt 9 KB
• 18. Add on Data Preprocessing/19. Non Usable Variables.mp4 20.2 MB
• 18. Add on Data Preprocessing/19. Non Usable Variables.srt 5.4 KB
• 18. Add on Data Preprocessing/2. Data Exploration.mp4 20.5 MB
• 18. Add on Data Preprocessing/2. Data Exploration.srt 3.6 KB
• 18. Add on Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4 36.8 MB
• 18. Add on Data Preprocessing/20. Dummy variable creation Handling qualitative data.srt 4.9 KB
• 18. Add on Data Preprocessing/21. Dummy variable creation in Python.mp4 26.5 MB
• 18. Add on Data Preprocessing/21. Dummy variable creation in Python.srt 5.5 KB
• 18. Add on Data Preprocessing/22. Dummy variable creation in R.mp4 44 MB
• 18. Add on Data Preprocessing/22. Dummy variable creation in R.srt 5.2 KB
• 18. Add on Data Preprocessing/3. The Data and the Data Dictionary.mp4 69.3 MB
• 18. Add on Data Preprocessing/3. The Data and the Data Dictionary.srt 7.8 KB
• 18. Add on Data Preprocessing/4. Importing Data in Python.mp4 27.8 MB
• 18. Add on Data Preprocessing/4. Importing Data in Python.srt 5.6 KB
• 18. Add on Data Preprocessing/5. Importing the dataset into R.mp4 13.1 MB
• 18. Add on Data Preprocessing/5. Importing the dataset into R.srt 2.6 KB
• 18. Add on Data Preprocessing/6. Univariate Analysis and EDD.mp4 24.2 MB
• 18. Add on Data Preprocessing/6. Univariate Analysis and EDD.srt 3.4 KB
• 18. Add on Data Preprocessing/7. EDD in Python.mp4 61.8 MB
• 18. Add on Data Preprocessing/7. EDD in Python.srt 10.4 KB
• 18. Add on Data Preprocessing/8. EDD in R.mp4 97 MB
• 18. Add on Data Preprocessing/8. EDD in R.srt 11.6 KB
• 18. Add on Data Preprocessing/9. Outlier Treatment.mp4 24.5 MB
• 18. Add on Data Preprocessing/9. Outlier Treatment.srt 4.5 KB
• 19. Test Train Split/1. Test-train split.mp4 41.9 MB
• 19. Test Train Split/1. Test-train split.srt 10.1 KB
• 19. Test Train Split/2. Bias Variance trade-off.mp4 25.1 MB
• 19. Test Train Split/2. Bias Variance trade-off.srt 6.4 KB
• 19. Test Train Split/3. Test train split in Python.mp4 44.9 MB
• 19. Test Train Split/3. Test train split in Python.srt 8.1 KB
• 19. Test Train Split/4. Test train split in R.mp4 75.6 MB
• 19. Test Train Split/4. Test train split in R.srt 8.4 KB
• 2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4 16.3 MB
• 2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.srt 2.6 KB
• 2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 65.2 MB
• 2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.srt 9.1 KB
• 2. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4 40.9 MB
• 2. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.srt 12.3 KB
• 2. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.mp4 12.7 MB
• 2. Setting up Python and Jupyter Notebook/4. Arithmetic operators in Python Python Basics.srt 4 KB
• 2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 64.4 MB
• 2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.srt 16.4 KB
• 2. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 60.3 MB
• 2. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.srt 17 KB
• 2. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 43.9 MB
• 2. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.srt 10.5 KB
• 2. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp4 46.9 MB

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