ITBeginner

Machine Learning

Train models that learn from data and predict real outcomes.

Duration: 12 weeks
Language: English

Taught by Ananya Krishnan

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₹8,000

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12 weeks
Taught in English
Certificate on completion

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The course

What this course covers

Learn how machines find patterns in data and turn them into predictions. From regression to ensemble models and neural networks, you will build, evaluate, and tune real models using Python and scikit-learn.

Your skills

What you'll learn

Supervised and unsupervised learning
Regression, classification, and clustering
Feature engineering and model evaluation
Decision trees, random forests, and boosting

₹8,000

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Find your fit

Who this course is for

Beginners starting their Machine Learning journey
Students and graduates building a portfolio and interview-ready skills
Working professionals looking to upskill into AI roles
Learners who want practical Machine Learning experience
Learners from different educational and professional backgrounds

Put it into practice

What you'll build

01
Machine Learning Portfolio Project
Build a practical Machine Learning project that can be showcased in interviews and professional portfolios.
02
Machine Learning Capstone
Complete a portfolio-ready Machine Learning project demonstrating practical model-building skills.

Meet your guide

Your course mentor

Ananya Krishnan

Ananya Krishnan is a Machine Learning mentor who guides learners through practical, project-based Machine Learning training. The course focuses on helping learners understand how models find patterns in data, build and evaluate models using Python and scikit-learn, and develop practical skills that can be applied to jobs, freelancing, and further career growth.

Machine Learning

What this course covers

What you'll learn

Who this course is for

What you'll need

What you'll build