Machine Learning Bootcamp: Python, Projects & Deployment

<div>This is a complete, hands-on <b>Machine Learning bootcamp</b> designed to take you from Python basics to building and deploying real-world, production-ready ML applications.</div><div><br></div><div>You will learn Machine Learning the right way - starting with Python and essential math foundations, working with real datasets, building models, evaluating them correctly, and finally deploying ML systems on AWS.</div><div><br></div><div>Unlike theory-heavy courses, this bootcamp focuses on practical understanding, clean code, real projects, and real deployment workflows used in industry.</div><div><br></div><div>What you will gain from this course:</div><div><ul><li><span style="font-size: 1rem;">Strong Python programming skills for Machine Learning</span></li><li><span style="font-size: 1rem;">Clear intuition for math behind ML including linear algebra, statistics, calculus, and probability</span></li><li><span style="font-size: 1rem;">Hands-on experience with data collection, EDA, and preprocessing</span></li><li><span style="font-size: 1rem;">Build and evaluate classification, regression, and unsupervised models</span></li><li><span style="font-size: 1rem;">Proper model validation, cross-validation, and optimization techniques</span></li><li><span style="font-size: 1rem;">Multiple real-world Machine Learning projects</span></li><li><span style="font-size: 1rem;">Convert notebooks into clean, production-style Python scripts</span></li><li><span style="font-size: 1rem;">Build ML APIs using FastAPI and UIs using Streamlit</span></li><li><span style="font-size: 1rem;">Deploy complete ML applications on AWS EC2</span></li><li><span style="font-size: 1rem;">Work on production-grade capstone projects you can showcase in your portfolio</span></li></ul></div><div><br></div><div>Who this course is for:</div><div><ul><li><span style="font-size: 1rem;">Beginners starting Machine Learning from scratch</span></li><li><span style="font-size: 1rem;">Students preparing for ML or data science roles</span></li><li><span style="font-size: 1rem;">Professionals transitioning into Machine Learning</span></li><li><span style="font-size: 1rem;">Developers who want to build and deploy real ML applications</span></li><li><span style="font-size: 1rem;">No prior Machine Learning, Python or math background is required. Everything is explained step by step with intuition and hands-on examples.</span></li></ul></div><div><br></div><div>By the end of this bootcamp, you will not just understand Machine Learning —</div><div><br></div><div>you will be able to build, deploy, and explain real ML systems with confidence.</div>

What you'll learn:

• Build machine learning models using Python, covering classification, regression, and unsupervised learning.
• Understand the math behind machine learning, including linear algebra, statistics, probability, and calculus with clear intuition.
• Perform data collection, EDA, preprocessing, feature engineering, and model evaluation using real-world datasets.
• Apply cross-validation, hyperparameter tuning, and model selection to build reliable and optimized ML models.
• Convert ML notebooks into production-ready Python scripts and serve models using FastAPI and Streamlit.
• Deploy complete, end-to-end machine learning applications on AWS EC2 with real-world workflows.