2 Months Program

Machine Learning Course

Cover supervised, unsupervised learning, model evaluation, and ML project deployment.

Why Choose This Course?

Cover supervised, unsupervised learning, model evaluation, and ML project deployment. The course includes guided exercises and practical project work.

2 Months
Certified
Career Preparation
Live Projects
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  • Duration2 Months
  • ModeContact for current options
  • BatchesContact for current schedule
  • LanguageHindi + English
  • CertificateCompletion requirements apply
  • Career preparationGuidance available
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What You'll Learn

Structured week-by-week curriculum designed for maximum learning efficiency.

1
Python & Math Prerequisites 1 week
2
Supervised Learning — Regression, Classification 2 weeks
3
Unsupervised Learning — Clustering, PCA 2 weeks
4
Ensemble Methods & Boosting 1 week
5
Model Evaluation & Tuning 1 week
6
Real-World ML Project 1 week

What's Included

Recorded Lectures

Access recorded sessions any time — never miss a class.

Live Coding Sessions

Real-time coding with instructors on industry projects.

1:1 Mentorship

Personal guidance sessions to clear doubts and build skills.

Industry Certificate

Get a certificate recognized by top IT companies.

Peer Community

Join our private student community for networking.

Placement Cell

Dedicated team for resume review, mock interviews & referrals.

Frequently Asked Questions

Everything you need to know about the Machine Learning course at Baudhyantram.

What is Machine Learning and why should I learn it?

Machine Learning is teaching computers to learn from data. It powers AI assistants, recommendation engines, fraud detection, and more. It's one of the highest-paying skills in tech today.

What is the duration of the ML course?

The Machine Learning course is 3 months (approximately 10 weeks), covering Supervised, Unsupervised, and Ensemble learning with real-world projects.

How can I get current enrollment details?

Contact Baudhyantram for current fees, course inclusions and schedule information.

What tools will I learn in the ML course?

You will learn Python, Scikit-learn, NumPy, Pandas, Matplotlib, and Jupyter Notebooks — the industry-standard ML toolkit.

Can I join ML course after completing another course?

Absolutely! Many students join our ML course as a specialization after completing Python or Data Science. We offer flexible course combinations.

Still have questions? We're here to help!

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Limited seats available. Free career counseling with every enrollment inquiry.

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