📊 Data Science & Machine Learning Repository Welcome to my Data Science & Machine Learning repository! 🚀 This repo contains various projects, code snippets, and resources related to data analysis, machine learning, web deployment, and mathematical foundations for AI.

📁 Folder Structure

.vscode/ ---- VS Code settings and configurations
Data Analyst/ ---Data analysis projects and case studies
Data Science/ ---- Machine learning and AI-related projects
Mathematics for Data/ ----Mathematical concepts used in data science
My Code/ ----Personal experiments, scripts, and notes
PWIOI Class/ ----Notes, assignments, and coursework from PWIOI class
Project/ ----nd-to-end projects and implementations
venv/ ----Virtual environment for dependencies
app.py ----Python script for an application
app2.py ----Another script related to data science
sampledata.csv ----Sample dataset for testing and analysis

🔥 Key Features

✔ Data Analysis & Visualization – EDA, feature engineering, and visualization techniques 📊 ✔ Machine Learning & AI – Regression, classification, clustering, and model evaluation 🤖 ✔ Mathematical Foundations – Linear algebra, probability, optimization, and statistical inference 🔢 ✔ Web Deployment – Implementing Flask & Streamlit for ML model deployment 🌐 ✔ Hands-on Projects – Practical applications of AI & ML for real-world problems 🚀

🚀 Upcoming Enhancements 🔹 Adding more ML models & feature engineering techniques 🔹 Deploying interactive dashboards with Streamlit 🔹 Expanding mathematical concepts for AI & ML 🔹 Exploring deep learning & NLP projects...........