ML Algorithms Demo

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The purpose of this project is to demonstrate the 7 most common types of classification algorithms.

• Logistic Regression
• K-Nearest Neighbor
• Support Vector Machine
• Naive Byes
• Decision Tree
• Random Forest
• Stochastic Gradient

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Following steps are involved in building a classification model:

1. Initialize the classifier
2. Train the classifier
3. Predict the target
4. Evaluate the classifier model

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I have used following dataset for this project:

https://raw.githubusercontent.com/f2005636/Classification/master/00%20df.csv

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Installation Guidelines

• Clone the repository

• Create virtual environment:

  pip install virtualenv
  

  virtualenv -p python3.6 venv
  

• Activate the virtual environment:

  source venv/bin/activate
  

• Activate the virtual environment:

  source mybot/venv/bin/activate
  

• Install dependencies:

  pip install -r requirements.txt