Unlock the power of Machine Learning and Artificial Intelligence with this practical, project-based bootcamp. Master essential skills and build a strong foundation to launch your data-driven career.

🧩 Python & Data Science Foundations

🐍 Python for Data Analysis (Data analysis using Python.py)
🐼 Pandas Essentials (Pandas.py)
🔢 NumPy Fundamentals (NumPy.py)
📊 Data Visualization with Matplotlib & Seaborn (Matplotlib & Seaborn.py)

🔍 Exploratory Data Analysis & Feature Engineering

🕵️ Exploratory Data Analysis (EDA - Exploratory data analysis.py)
⚙️ Feature Engineering Techniques (Feature Engineering.py)
📏 Feature Scaling and Transformation (Feature scaling.py)

📈 Machine Learning Algorithms

📉 Linear Regression (Linear Regression.py)
🔐 Logistic Regression (Logistic regression.py)
🧮 Assumptions of Linear Regression (Assumptions of linear regression include.docx)

🗂️ Datasets & Case Studies

🩺 Chronic Kidney Disease — Classification Project
🦀 Breast Cancer Prediction (breast_cancer.csv)
🌸 Iris Flower Classification (Iris.csv)
🚢 Titanic Survival Prediction (Titanic.csv)
🏠 Housing Price Regression (Housing - LR1.csv)
📁 Sample Data Practice (sample.csv)

🧠 PROJECTS Real-World ML & AI Applications

📊 Predictive modeling for medical datasets
🏘️ Regression-based price predictions
🎯 Classification of real-world tabular datasets
🛠️ End-to-end ML workflow and best practices

🎓 By the end of this bootcamp, you’ll be confident in building, validating, and deploying machine learning solutions — with skills directly applicable to modern AI careers.