Machine Learning Mentorship
A 10-week intensive 1:1 mentorship covering the full ML pipeline — from data prep to model deployment. Designed for learners with Python basics who want to enter the ML / AI space.
What You'll Achieve
- Understand and implement core ML algorithms from scratch
- Build classification, regression and clustering models
- Engineer features and handle real-world messy datasets
- Evaluate models properly and avoid overfitting
- Deploy models as REST APIs or Streamlit apps
- Build an ML portfolio targeted at product companies
Duration
10 Weeks
Format
Live 1:1
Sessions
20 Live
Certificate
Included
Who Is This Program For?
- Python developers wanting to enter ML / AI
- Data analysts ready to move into machine learning
- CS students preparing for ML engineer interviews
- Professionals in non-tech roles exploring AI applications
- Researchers wanting hands-on ML implementation skills
Why Choose This Program?
Concept + Code Together
Your mentor explains the math intuitively and immediately shows it in code — no disconnected theory.
Interview-Focused
Curriculum designed around actual ML interview patterns at top product companies.
3 End-to-End Projects
Churn prediction, house price forecasting and an NLP sentiment analyser — all deployed live.
MLOps Basics
Learn model versioning, API wrapping and Streamlit deployment — skills that set you apart.
Doubt Support
Async support with code debugging help within hours.
Certificate
Completion certificate plus GitHub portfolio review to maximise your profile.
Program Curriculum
5 modules · 10 Weeks · 20 Sessions
Module 1 — ML Foundations & Data Prep
Week 1–2
Topics Covered
- ML Landscape & Problem Types
- Feature Engineering & Selection
- Handling Missing Data & Outliers
- Train-Test Split & Cross Validation
Tools & Technologies
Module 2 — Supervised Learning
Week 3–5
Module 3 — Unsupervised & Advanced Topics
Week 6–7
Module 4 — NLP & Time Series
Week 8–9
Module 5 — Deployment & Portfolio
Week 10
Your Mentors
Industry professionals — not just trainers
Eswar Reddy
Data Science Engineer
Eswar specialises in building end-to-end machine learning pipelines and model deployment. He brings a hands-on, project-first approach that helps students go from theory to production-ready ML fast.
Simple, Transparent Pricing
No hidden fees. Cancel before Day 3 for a full refund.
Full Payment
₹19,999
₹32,999
You save ₹13,000
- 20 Sessions live 1:1 sessions
- 10 Weeks structured program
- 8-week POC guidance phase
- Course completion certificate
- Session recordings
- WhatsApp doubt support
- Resume & LinkedIn review
Monthly Installments
₹3,333/mo
× 6 months — no interest
- Same full program included
- No interest, no hidden charges
- Pay as you learn
- Easy online payment setup
Not satisfied after 2 sessions? Get a full refund — no questions asked.
Frequently Asked Questions
What Python level do I need before joining?
Do I need to know advanced math?
What kind of projects will I build?
Is this program useful for data science job interviews?
Can I continue to Data Science mentorship after this?
Register for Mentorship
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