Dimensionality Reduction Techniques and NLP
I used fashion-mnist dataset to perform Dimensionality Reduction Techniques and NLP
. It includes:
* Missing Value Ratio
* Low Variance Filter
* High Correlation filter
* Random Forest
* Backward Feature Elimination
* Forward Feature Selection
* Singular Value Decomposition
* Principal Component analysis
* Linear Discriminant Analysis
* Manual Tokenization
* Tokenization and Cleaning with NLTK
* Prepare Text Data with scikit-learn
* The Bag-of-Words Model