Machine Learning Assignments

This repository contains a collection of machine learning assignments, each demonstrating a different algorithm or concept.

Assignments

• Assignment 1: Multivariate Linear Regression

  • Predicts product sales based on advertising budgets for TV, Radio, and Newspaper.
  • Uses a closed-form linear regression model (normal equation).

• Assignment 2: Employee Attrition Prediction (KNN)

  • Predicts employee attrition using a K-Nearest Neighbors classifier.
  • Includes feature preprocessing (one-hot encoding, scaling).

• Assignment 3: Neural Network Diagram

  • Generates a diagram of a neural network for the Pima Indians Diabetes prediction problem.

• Assignment 4: 3D Plot for House Price Prediction

  • Visualizes a linear regression model for house price prediction in a 3D plot.

How to Run

Each assignment is self-contained in its own directory and includes a README.md with specific instructions on how to run the code. Generally, you will need to:

1. Navigate to the assignment directory (e.g., cd Assignment1).
2. Install the required Python packages from requirements.txt.
3. Run the Python script.