Machine Learning

Day 1: Python for Machine Learning
Day 2: Mathematics & Statistics Essentials
Day 3: Data Preprocessing & Cleaning
Day 4: Exploratory Data Analysis
Day 5: Supervised Learning Algorithms
Day 6: Unsupervised Learning Algorithms
Day 7: Model Evaluation & Validation
Day 8: Feature Engineering
Day 9: Deep Learning Fundamentals
Day 10: Model Deployment & MLOps

Master the most in-demand skill in tech. This course takes you from Python basics to deploying real ML models covering math, data cleaning, algorithms, deep learning & MLOps. Whether you want better career opportunities or to build intelligent systems, this is your complete roadmap to becoming an ML practitioner.