Filename | Size |
| 1. Introduction/1. Welcome to the course.mp4 | 21.4 MB |
| 1. Introduction/1. Welcome to the course.srt | 3.1 KB |
| 1. Introduction/2. Introduction to Neural Networks and Course flow.mp4 | 29.1 MB |
| 1. Introduction/2. Introduction to Neural Networks and Course flow.srt | 4.6 KB |
| 1. Introduction/3. Course resources.html | 117 B |
| 1. Introduction/3.1 Files_ANN_Py.zip | 10.5 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. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 | 155.9 MB |
| 11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.srt | 21.7 KB |
| 12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 | 92.1 MB |
| 12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.srt | 11.5 KB |
| 13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 | 151.6 MB |
| 13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt | 18.8 KB |
| 14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 | 60.6 MB |
| 14. Hyperparameter Tuning/1. Hyperparameter Tuning.srt | 9.4 KB |
| 15. Add-on 1 Data Preprocessing/1. Gathering Business Knowledge.mp4 | 22.3 MB |
| 15. Add-on 1 Data Preprocessing/1. Gathering Business Knowledge.srt | 3.9 KB |
| 15. Add-on 1 Data Preprocessing/10. Missing Value Imputation.mp4 | 25 MB |
| 15. Add-on 1 Data Preprocessing/10. Missing Value Imputation.srt | 4.1 KB |
| 15. Add-on 1 Data Preprocessing/11. Missing Value Imputation in Python.mp4 | 23.4 MB |
| 15. Add-on 1 Data Preprocessing/11. Missing Value Imputation in Python.srt | 4.1 KB |
| 15. Add-on 1 Data Preprocessing/12. Seasonality in Data.mp4 | 17 MB |
| 15. Add-on 1 Data Preprocessing/12. Seasonality in Data.srt | 3.8 KB |
| 15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4 | 100.4 MB |
| 15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.srt | 18.3 KB |
| 15. Add-on 1 Data Preprocessing/14. Variable transformation and deletion in Python.mp4 | 44.1 MB |
| 15. Add-on 1 Data Preprocessing/14. Variable transformation and deletion in Python.srt | 7.5 KB |
| 15. Add-on 1 Data Preprocessing/15. Non-usable variables.mp4 | 20.2 MB |
| 15. Add-on 1 Data Preprocessing/15. Non-usable variables.srt | 5.4 KB |
| 15. Add-on 1 Data Preprocessing/16. Dummy variable creation Handling qualitative data.mp4 | 36.8 MB |
| 15. Add-on 1 Data Preprocessing/16. Dummy variable creation Handling qualitative data.srt | 4.9 KB |
| 15. Add-on 1 Data Preprocessing/17. Dummy variable creation in Python.mp4 | 26.5 MB |
| 15. Add-on 1 Data Preprocessing/17. Dummy variable creation in Python.srt | 5.5 KB |
| 15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp4 | 71.6 MB |
| 15. Add-on 1 Data Preprocessing/18. Correlation Analysis.srt | 11 KB |
| 15. Add-on 1 Data Preprocessing/19. Correlation Analysis in Python.mp4 | 55.3 MB |
| 15. Add-on 1 Data Preprocessing/19. Correlation Analysis in Python.srt | 6.6 KB |
| 15. Add-on 1 Data Preprocessing/2. Data Exploration.mp4 | 20.5 MB |
| 15. Add-on 1 Data Preprocessing/2. Data Exploration.srt | 3.6 KB |
| 15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 | 69.4 MB |
| 15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.srt | 7.8 KB |
| 15. Add-on 1 Data Preprocessing/4. Add-on Resources.html | 131 B |
| 15. Add-on 1 Data Preprocessing/4.1 Files_linear_py.zip | 8.9 MB |
| 15. Add-on 1 Data Preprocessing/5. Importing Data in Python.mp4 | 27.8 MB |
| 15. Add-on 1 Data Preprocessing/5. Importing Data in Python.srt | 5.6 KB |
| 15. Add-on 1 Data Preprocessing/6. Univariate analysis and EDD.mp4 | 24.2 MB |
| 15. Add-on 1 Data Preprocessing/6. Univariate analysis and EDD.srt | 3.4 KB |
| 15. Add-on 1 Data Preprocessing/7. EDD in Python.mp4 | 61.8 MB |
| 15. Add-on 1 Data Preprocessing/7. EDD in Python.srt | 10.4 KB |
| 15. Add-on 1 Data Preprocessing/8. Outlier Treatment.mp4 | 24.5 MB |
| 15. Add-on 1 Data Preprocessing/8. Outlier Treatment.srt | 4.5 KB |
| 15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp4 | 70.2 MB |
| 15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.srt | 13 KB |
| 16. Add-on 2 Classic ML models - Linear Regression/1. The Problem Statement.mp4 | 9.4 MB |
| 16. Add-on 2 Classic ML models - Linear Regression/1. The Problem Statement.srt | 1.6 KB |
| 16. Add-on 2 Classic ML models - Linear Regression/10. Test-train split.mp4 | 41.9 MB |
| 16. Add-on 2 Classic ML models - Linear Regression/10. Test-train split.srt | 10.1 KB |
| 16. Add-on 2 Classic ML models - Linear Regression/11. Bias Variance trade-off.mp4 | 25.1 MB |
| 16. Add-on 2 Classic ML models - Linear Regression/11. Bias Variance trade-off.srt | 6.4 KB |
| 16. Add-on 2 Classic ML models - Linear Regression/12. Test train split in Python.mp4 | 44.9 MB |
| 16. Add-on 2 Classic ML models - Linear Regression/12. Test train split in Python.srt | 8.1 KB |
| 16. Add-on 2 Classic ML models - Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 | 43.4 MB |
| 16. Add-on 2 Classic ML models - Linear Regression/2. Basic Equations and Ordinary Least Squares (OLS) method.srt | 9.9 KB |
| 16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 | 92.1 MB |
| 16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.srt | 15.9 KB |
| 16. Add-on 2 Classic ML models - Linear Regression/4. Assessing Model Accuracy RSE and R squared.mp4 | 43.6 MB |
| 16. Add-on 2 Classic ML models - Linear Regression/4. Assessing Model Accuracy RSE and R squared.srt | 8 KB |
| 16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 | 63.4 MB |
| 16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.srt | 11.4 KB |
| 16. Add-on 2 Classic ML models - Linear Regression/6. Multiple Linear Regression.mp4 | 34.3 MB |
| 16. Add-on 2 Classic ML models - Linear Regression/6. Multiple Linear Regression.srt | 5.7 KB |
| 16. Add-on 2 Classic ML models - Linear Regression/7. The F - statistic.mp4 | 56 MB |
| 16. Add-on 2 Classic ML models - Linear Regression/7. The F - statistic.srt | 9 KB |
| 16. Add-on 2 Classic ML models - Linear Regression/8. Interpreting results of Categorical variables.mp4 | 22.5 MB |
| 16. Add-on 2 Classic ML models - Linear Regression/8. Interpreting results of Categorical variables.srt | 5.3 KB |
| 16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 | 69.7 MB |
| 16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.srt | 12.3 KB |
| 17. Practice Assignment/1. Neural Networks Classification Assignment.html | 173 B |
| 18. Bonus Section/1. Congratulations & About your certificate.html | 1.6 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 |