📘 Machine Learning Portfolio
Welcome to my Machine Learning Portfolio! This repository contains a curated collection of end-to-end ML projects demonstrating skills in:
Data Cleaning & Preprocessing
Exploratory Data Analysis (EDA)
Feature Engineering
Supervised & Unsupervised ML
Model Evaluation & Hyperparameter Tuning
Real-world problem solving
📂 Projects 🔹 1. Customer Churn Prediction (KNN)
Folder: projects/knn-churn/ Predict whether a telecom customer will churn using the K-Nearest Neighbors algorithm.
Data Cleaning
Feature Scaling
KNN Modeling
Confusion Matrix
Determining best K value
Notebook: KNN_Churn_Project.ipynb Dataset: Telco Customer Churn (Kaggle)
🔹 2. Loan Default Prediction (Coming Soon)
Binary classification using Logistic Regression, XGBoost, and Random Forests.
🔹 3. Credit Card Fraud Detection (Coming Soon)
Highly imbalanced dataset handled using SMOTE + anomaly detection techniques.
🔹 4. Image Classification (CNNs) (Coming Soon)
Deep learning project using TensorFlow/Keras on CIFAR-10.
🛠️ Tech Stack
Python
pandas, numpy
scikit-learn
seaborn, matplotlib
Jupyter Notebook
Git/GitHub
🤝 Connect With Me
If you find my work interesting or want to collaborate, feel free to reach out!