khushi-411/fashion-mnist

Dimensionality Reduction Techniques and NLP

Dimensionality Reduction Techniques and NLP

I used fashion-mnist dataset to perform Dimensionality Reduction Techniques and NLP. It includes:

• Basic Concept of Dimentionality Reduction
• Feature Selection Techniques
• Dimentionality Reduction Techniques
• Natural Language Processing (NLP) Performed

Feature Selection Techniques

* Missing Value Ratio
* Low Variance Filter
* High Correlation filter
* Random Forest
* Backward Feature Elimination
* Forward Feature Selection

Dimentionality Reduction Techniques

* Singular Value Decomposition
* Principal Component analysis
* Linear Discriminant Analysis

Natural Language Processing

* Manual Tokenization
* Tokenization and Cleaning with NLTK
* Prepare Text Data with scikit-learn
* The Bag-of-Words Model