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How many instances are there in Fashion-MNIST Training dataset ?
70000
90000
60000
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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 ?
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