Statistical Analysis for Machine Learning

This project explores statistical concepts and data analysis techniques commonly used in machine learning and AI systems.

Topics Covered

• Probability and statistics
• Data preprocessing
• Exploratory data analysis
• Correlation analysis
• Statistical distributions
• Hypothesis testing
• Visualization of datasets

Technologies

• Python
• Pandas
• NumPy
• Matplotlib
• Jupyter Notebook

Purpose

The goal of this project was to strengthen the statistical foundations required for machine learning, data analysis, and AI-related systems.

What I Learned

• How statistical concepts support machine learning models
• Data preprocessing and cleaning techniques
• Visualization and interpretation of datasets
• Analytical thinking for ML workflows