项目作者: khushi-411

项目描述 :
Dimensionality Reduction Techniques and NLP
高级语言: Jupyter Notebook
项目地址: git://github.com/khushi-411/fashion-mnist.git
创建时间: 2021-04-30T19:46:35Z
项目社区:https://github.com/khushi-411/fashion-mnist

开源协议:Apache License 2.0

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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

  1. * Missing Value Ratio
  2. * Low Variance Filter
  3. * High Correlation filter
  4. * Random Forest
  5. * Backward Feature Elimination
  6. * Forward Feature Selection

Dimentionality Reduction Techniques

  1. * Singular Value Decomposition
  2. * Principal Component analysis
  3. * Linear Discriminant Analysis

Natural Language Processing

  1. * Manual Tokenization
  2. * Tokenization and Cleaning with NLTK
  3. * Prepare Text Data with scikit-learn
  4. * The Bag-of-Words Model