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Data Mining,Machine Learning techniques

License: MIT License

Python 65.69% MATLAB 34.31%

datamining's Introduction

Data Mining, Machine Learning and Data Science: Text Classification Project

Written in Python2 and developed using Anaconda

Installation

  1. Download and setup Anaconda
  2. Create a working environment.
  3. Install wordcloud using Anaconda:

conda install -c conda-forge wordcloud

You are ready to execute the project

Implementation Details

Details about the K Nearest Neighbour classifier can be found in KNN.py

Execution

  1. Open and examine the main.py file which drives the project.
  2. Run main.py:

main.py will output information into CSV files and create Wordcloud images

License

This project is released under the MIT License

datamining's People

Stargazers

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Watchers

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