End to End ML Project - Fashion MNIST - Step 2 - Explore the Dataset

1 End to End ML Project - Fashion MNIST - Description

2 End to End ML Project - Fashion MNIST - Step 1 - Load the Dataset

3 End to End ML Project - Fashion MNIST - Importing Libraries

4 End to End ML Project - Fashion MNIST - Defining Functions

5 End to End ML Project - Fashion MNIST - Loading the data

6 End to End ML Project - Fashion MNIST - Step 2 - Explore the Dataset

7 End to End ML Project - Fashion MNIST - How many instances are there in Fashion-MNIST Training dataset ?

8 End to End ML Project - Fashion MNIST - How many instances are there in Fashion-MNIST Test dataset ?

9 End to End ML Project - Fashion MNIST - How many features are there in Fashion-MNIST Training dataset ?

10 End to End ML Project - Fashion MNIST - Understanding the data

11 End to End ML Project - Fashion MNIST - Step 3 - Feature Scale the Dataset

12 End to End ML Project - Fashion MNIST - Data Preparation

13 End to End ML Project - Fashion MNIST - Step 4 - Train various Models on the Dataset

14 End to End ML Project - Fashion MNIST - Training the Model

15 End to End ML Project - Fashion MNIST - Training the Model - Softmax Regression

16 End to End ML Project - Fashion MNIST - Training the Model - RandomForestClassifier

17 End to End ML Project - Fashion MNIST - In training phase, why would the scores(accuracy, precision, etc.) of any model be 1.0?

18 End to End ML Project - Fashion MNIST - Step 5 - Select the Model

19 End to End ML Project - Fashion MNIST - Selecting the Model - Cross-Validation

20 End to End ML Project - Fashion MNIST - Selecting the Model - Cross-Validation - Softmax Regression

21 End to End ML Project - Fashion MNIST - Selecting the Model - Cross-Validation - RandomForestClassifier

22 End to End ML Project - Fashion MNIST - Selecting the Model - Cross-Validation - The Conclusion

23 End to End ML Project - Fashion MNIST - Step 6 - Fine Tune the Model

24 End to End ML Project - Fashion MNIST - Fine-Tuning the Model - Grid Search - Dimensionality Reduction

25 End to End ML Project - Fashion MNIST - Fine-Tuning the Model - Grid Search - Tuning Hyperparameters

26 End to End ML Project - Fashion MNIST - What is the best parameter value of max_depth parameter you got from the grid search ?

27 End to End ML Project - Fashion MNIST - Step 7 - Evaluate the Model

28 End to End ML Project - Fashion MNIST - Evaluating Final Model on Test Dataset

29 End to End ML Project - Fashion MNIST - Which function of PCA do you use to apply dimensionality reduction on test dataset X_test ?

30 End to End ML Project - Fashion MNIST - How many features are there in X_test_reduced dataset ?