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Machine Learning Projects

This repository is dedicated to showcasing various machine learning projects, demonstrating not only the implementation of different algorithms but also the methodologies employed, data preprocessing steps, model training, and evaluation.

Skillset & Tools

  • Tools Utilized: Jupyter Notebook, Google Colab
  • Programming Languages: Python
  • Libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
  • Machine Learning Algorithms

  • Supervised Learning: Regression, Classification
  • Unsupervised Learning: Clustering, Dimensionality Reduction
  • Ensemble Methods: Random Forest, Gradient Boosting
  • Neural Networks: Deep Learning, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN)