A collection of core Machine Learning projects implemented in Python using Jupyter Notebooks.
This repository includes several foundational Machine Learning projects, implemented in Python using Jupyter Notebooks. Each notebook explores a key concept or algorithm in machine learning, supported by real datasets and performance evaluation techniques.
-
🔐 Credit Card Fraud Detection
- Detects fraudulent transactions using classification techniques on imbalanced data.
-
🌸 Decision Tree on Iris Dataset
- Visualizes and trains a decision tree classifier to classify flower species.
-
📈 Linear Regression
- Demonstrates a basic regression model for predicting continuous values.
-
🍷 SVM on Wine Dataset
- Uses Support Vector Machines to classify wine quality based on features.
-
💼 Salary Prediction
- Predicts salaries based on experience using linear regression.
-
🌦️ Weather Classification
- Classifies weather conditions using machine learning models (Random Forest, etc.).