Machine Learning Models

A collection of machine learning models implemented using various algorithms and datasets.

Structure

  • data/: Raw and processed datasets.
  • notebooks/: Jupyter notebooks for different projects.
  • models/: Saved models for each project.
  • requirements.txt: Dependencies.

Usage

  1. Install dependencies:
    pip install -r requirements.txt
  2. Train a model:
    python scripts/train_iris_model.py
    python scripts/train_titanic_model.py
    python scripts/train_house_price_model.py

Projects

  1. Iris Classification: notebooks/iris_classification.ipynb
  2. Titanic Survival Prediction: notebooks/titanic_survival.ipynb