1 End to End ML Project - Fashion MNIST - Description

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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