Machine Learning with Python
Learn Machine Learning with Python: From Fundamentals to Real-World Deployment
- Comprehensive 120-hour Machine Learning program with Python
- 60 hours of lectures + 60 hours of hands-on assignments
- Attend Online Live Sessions & Offline Classroom + Hybrid sessions
- Hands-on projects and practical implementation of ML algorithms
Select Mode:
Hybrid
Winter Training
Certification
Hybrid
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
Tools
Earn a career certificate
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Expert-Led Training
Learn from experienced trainers and industry professionals specializing in machine learning and data science.
Hands-On Learning
60 hours of assignments and projects to apply ML concepts to real-world problems.
Flexible Online & Offline Mode
Attend live online sessions or offline classroom sessions with hybrid program flexibility.
Certification & Project Completion
Receive a Certificate of Completion and Project Letter upon successfully completing the course.