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count-sketch-feature-selection's Introduction

count-sketch-feature-selection

Project Structure:

  1. src/independent_study: contains code related to independent study experiments

    • dumps: folder contains results dump
    • logistic_regression: code for logistic regression (Standard Datasets, Synthetic Dataset)
    • dataset_generation: code to generate synthetic dataset
    • image_df.ipynb: jupyter notebook contains code to generate graphs for all 5 models and creates html page
  2. src/sketches: contains code for all variations of count sketches and top-K heap

  3. src/processing: code to preprocess data and converting in required format

  4. src/classifiers: code from prev semester ML project

  5. src/results: results from prev semester ML project

count-sketch-feature-selection's People

Contributors

neerajsharma9195 avatar kanchimasalia avatar neeraj-mindtickle avatar

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