Data Science Projects
This section showcases my machine learning and data analysis projects, demonstrating various techniques from exploratory data analysis to predictive modeling.
🔬 Featured Projects
Diabetes Prediction Project
Objective: Develop a machine learning model to predict diabetes risk based on patient health metrics.
Technologies: Python, Scikit-learn, Pandas, NumPy, Matplotlib Key Techniques: Classification, Feature Engineering, Model Evaluation
Student Habits and Academic Performance
Objective: Analyze the relationship between student study habits and academic performance to identify key factors affecting educational outcomes.
Technologies: Python, Pandas, Seaborn, Statistical Analysis Key Techniques: Exploratory Data Analysis, Correlation Analysis, Data Visualization
🎯 Project Highlights
- End-to-end ML pipeline development
- Statistical analysis and hypothesis testing
- Feature engineering and selection
- Model performance evaluation and optimization
- Data visualization and storytelling
📊 Skills Demonstrated
- Data Preprocessing: Cleaning, transformation, and feature engineering
- Machine Learning: Classification, regression, and model selection
- Visualization: Creating compelling charts and graphs
- Statistical Analysis: Hypothesis testing and correlation analysis
- Python Programming: Advanced pandas, numpy, and scikit-learn usage