Project Title	Description	Techniques	Links	Achievements
E-commerce Customer Insights: RFM, Clustering	Analyze UK-based online retail data for customer behavior and segmentation.	EDA, RFM Analysis, K-Means Clustering	View on Kaggle	🥈 Silver Medal
Multi-Class Ethnic Classification with ML, SMOTE & SHAP	Predict ethnicity using the ANSUR II dataset with advanced ML techniques.	EDA, Feature Reduction, SMOTE, SHAP	View on Kaggle	🥈 Silver Medal
Handwritten Digit Classification	Classify handwritten digits using SVM, Decision Tree, and Random Forest models.	SVM, Decision Tree, Random Forest	View on Kaggle	🥈 Silver Medal
Classifying Raisin Grains	Logistic Regression model to classify raisin grain varieties.	Logistic Regression	View on Kaggle	🥈 Silver Medal
Predicting Vehicle Prices	Predict vehicle prices using multiple regression models.	Linear Regression, Ridge, Lasso, Elastic-Net	View on Kaggle	🥈 Silver Medal
Linear Regression: CO2 Emissions	Analyze CO2 emissions using linear regression.	Linear Regression	View on Kaggle	🥈 Silver Medal

🔗 Key Points

• Each project includes a Kaggle link for datasets and detailed notebooks.
• Techniques and methods are highlighted to showcase the machine learning and statistical tools applied.
• Achievements such as medals on Kaggle are displayed to build credibility.