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)