Welcome to my repository of Data Science projects! This collection showcases a variety of projects where I've applied machine learning and data analysis techniques to tackle real-world problems. Each project folder contains code and data related to the specific problem being addressed.
- Breast Cancer Classification
- Predict whether breast cancer tumors are malignant or benign.
- Car Price Prediction
- Forecast the price of cars based on various features.
- Credit Card Fraud Detection
- Identify fraudulent transactions in credit card data.
- Customer Segmentation
- Group customers based on their purchasing behavior.
- Fake News Prediction
- Distinguish between genuine news and fake news articles.
- Gold Price Prediction
- Predict future prices of gold using historical data.
- Heart Disease Prediction
- Predict the presence of heart disease in patients.
- Loan Status Prediction
- Predict whether a loan application will be approved or denied.
- Medical Insurance Cost Prediction
- Estimate medical insurance costs for individuals.
- PIMA Diabetes Dataset Analysis
- Analyze the PIMA Indian Diabetes dataset to understand diabetes risk factors.
- Spam Mail Prediction
- Classify emails as spam or legitimate.
- Wine Quality Prediction
- Predict the quality of wine based on chemical properties.
Each project folder contains the following:
code/: Source code written in Python.data/: Dataset(s) used for analysis.
Feel free to explore the projects and delve into the code and datasets. If you have any questions, suggestions, or feedback, don't hesitate to reach out. Your input is valuable in improving these projects and advancing the field of Data Science/Machine Learning.