Machine Learning with Python

Learn Machine Learning with Python: From Fundamentals to Real-World Deployment

100 Hours of blended learning – 35–40 hours of live sessions + 60 hours of hands-on assignments (4 Weeks Training Program)
Attend Online Live Sessions & Offline Classroom + Hybrid sessions
Hands-on projects and practical implementation of ML algorithms
The training will be held in two slots: 17th Dec 2025 – 30th Jan 2026 and 22nd Jan – 13th Mar 2026, with evening batches post 5:30 PM

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Winter Training

Certification

Online Live

Mode of Delivery

120 Hours

Course Duration

What you'll learn

Understand supervised and unsupervised learning algorithms and their applications.
Apply regression, classification, clustering, and advanced ML techniques using Python.
Perform feature engineering, dimensionality reduction, and model evaluation.
Implement ensemble methods like Random Forest, AdaBoost, GBM, and XGBoost.
Understand ethical, societal, and safety considerations of machine learning.
Deploy machine learning models and interpret their outcomes using SHAP & LIME.

Skills you'll gain

Machine Learning Algorithms (Supervised & Unsupervised)Python Programming for Data ScienceData Preprocessing & Feature EngineeringModel Evaluation & Performance MetricsEnsemble Learning & Advanced ML TechniquesModel Deployment & InterpretabilityEthical AI & Future Trends in ML