Machine Learning with Python
Build intelligent systems that learn from data and solve complex real-world problems.
Course Details
Course starts: 27 Jun 2026Duration
16 Weeks | Full-Time & Part-Time options available
Format
Live instruction, Jupyter-based labs, Kaggle challenges, and project presentations
Course Overview
The Machine Learning with Python program provides a rigorous, practical introduction to the field of machine learning. Participants will learn core ML algorithms, model training and evaluation, feature engineering, and deployment strategies — all using Python's leading data science ecosystem. The course bridges theory and practice through hands-on projects using real datasets.
What You Will Learn
Implement supervised and unsupervised machine learning algorithms from scratch and using libraries
Perform data preprocessing, feature engineering, and exploratory analysis
Evaluate and tune ML models using cross-validation and hyperparameter optimization
Build classification, regression, and clustering pipelines
Apply ensemble methods, neural networks, and advanced ML techniques
Deploy ML models as APIs for production use
Curriculum
Who This Course Is For
- Python developers transitioning into data science and ML
- Data analysts looking to advance into predictive modelling
- Students with a quantitative or engineering background
- Professionals seeking to apply AI in their domain