A collection of machine learning projects, algorithms, and experiments implemented in Python.
This repository contains a collection of Machine Learning projects, algorithms, and practice implementations.
The goal is to learn, experiment, and apply machine learning concepts to real-world datasets.
- Supervised Learning (Regression, Classification)
- Unsupervised Learning (Clustering, Dimensionality Reduction)
- Feature Engineering & Data Preprocessing
- Model Evaluation & Hyperparameter Tuning
- End-to-End ML Projects with datasets
- Python
- scikit-learn
- pandas, NumPy
- matplotlib, seaborn
- Jupyter Notebook