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Machine Learning
Supervised, unsupervised and MLOps pipelines with real datasets.
- Duration
- 3 months
- Mode
- Live online + classroom
- Level
- Beginner to Advanced
- Course fee
- ₹21,999
Upcoming batches
Pick a start date that suits you. Reserve your seat with a part payment or pay the full fee online.
- Starts 15 Aug 202607:00 – 09:00 AM ISTMon – Fri · Live online11 seats left
- Starts 25 Aug 202607:00 – 09:00 PM ISTMon – Fri · Live online5 seats left
- Starts 05 Sept 202610:00 AM – 01:00 PM ISTSat & Sun · Classroom + online8 seats left
Prerequisites
- Working knowledge of Python syntax, lists and functions
- Comfort with spreadsheets and basic statistics
- Laptop with 8 GB RAM and internet
What you get
- Live mentor-led sessions with recordings for lifetime revision
- Portfolio-ready projects reviewed by industry practitioners
- Course completion certificate plus certification exam prep
- Resume, LinkedIn and mock-interview support
- Placement assistance with our hiring partner network
Syllabus
Career and job oriented curriculum across three levels.
6 weeks · 48 hrsAbsolute beginners who can read basic Python.
Syllabus modules
- ML landscape: supervised, unsupervised and reinforcement learning
- Data collection, cleaning, encoding and feature scaling
- Exploratory data analysis and visual storytelling
- Linear and logistic regression from intuition to code
- Decision trees and k-nearest neighbours
- Model metrics: accuracy, precision, recall, RMSE
Hands-on projects
- House price prediction model
- Loan approval classifier with EDA report
Tools covered
PythonPandasscikit-learnSeaborn
Job roles you can target
ML TraineeData Analyst (entry)Reporting Associate
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