Machine Learning

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

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.