ML Supervised Learning Project
Overview
Performed dimensionality reduction (PCA) and clustering analysis for customer segmentation. Visualized clusters and explained patterns.
Tools Used
- Python (Pandas, scikit-learn, Matplotlib, Seaborn)
- Model Trainin and Hyper-parameter tuning
- Classifiers and Regresion Models
- Jupyter Notebooks
Outcome
Created interpretable clusters and visualizations, showing strong applied ML and EDA skills.