Machine Learning with Python
Master supervised, unsupervised, and reinforcement learning algorithms with real datasets.
Priya Sharma
AI/ML Engineer

Overview
Comprehensive machine learning course covering regression, classification, clustering, ensemble methods, feature engineering, model evaluation, and deployment.
Skills You'll Learn
Prerequisites
- Python basics
- Linear algebra concepts
Course Roadmap
Week 1
ML Foundations
Week 2
Supervised Learning
Week 3
Unsupervised
Week 4
Model Tuning
Week 5
Advanced Topics
Week 6
Deployment
Course Curriculum
12 modules · 18 quizzes
Projects
Customer Churn Prediction
End-to-end ML pipeline with model deployment.
Assignments
Build an ensemble classifier
HardCombine multiple models for better accuracy.
Tech Stack
Meet Your Instructor

Priya Sharma
AI/ML Engineer
ML Engineer at a top fintech, passionate about GenAI.
Certificate You'll Earn
Certificate of Completion
Your Name Here
has successfully completed the course
Machine Learning Certificate
Certificate ID
LNTRN-UPSK-000000
Founder
Lunetron Web Services LLP
Certified ML practitioner.
Student Reviews
The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.
Aarush Rai
B.Tech / AI-ML
I liked the hands-on approach of the training. Working on assignments and mini projects made the concepts easier to understand, and the AI/ML introduction was a useful addition to the course.
Divyanshu Mishra
B.Tech / AI-ML
The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.
V K Srivarshini
B.Tech / CSE
Frequently Asked Questions
No, all projects run on standard laptops.
₹1,749
₹3,499
50% off · Save ₹1,750
Career Outcomes
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