Detailed Curriculum
A structured roadmap from data preparation to production-ready model review.
- Problem framing and terminology
- Features, targets, splits, and leakage
- Cleaning and transforming data
- Vectors, matrices, distance, and distributions
- Loss and gradient intuition
- Practical statistics for model decisions
- Framing predictions as regression or classification
- Model assumptions and trade-offs
- Training and validating baseline models
- Grouping data with clustering
- Reducing complexity with dimensionality reduction
- Choosing when unsupervised learning fits
- Validation and performance measures
- Error analysis and iteration
- Model selection and trade-offs
- Apply the full pipeline to a defined dataset
- Document assumptions and decisions
- Deliver a final model review and evaluation report
Machine Learning Workshop
Apply first. Review next. Payment after enrollment — no payment is collected now.
Apply NowWhy This Workshop?
Practical Learning Approach
Every concept walks through real data - you prepare, split, and validate before modelling.
Project-First Approach
Everything builds toward an end-to-end model and the evaluation report that explains it.
Industry-Relevant Skills
Work with the standard ML toolkit - Pandas, NumPy, scikit-learn, and Jupyter - and the evaluation habits teams rely on.
Small Cohort & Guided Feedback
A small cohort with review at each modelling milestone and support throughout the project.
What You Receive
Practical Project
An end-to-end model for a defined dataset, from preparation and baseline through evaluation.
Portfolio-Ready Work
A cleaned dataset, trained baseline model, and evaluation report you can present and explain.
Workshop Completion Recognition
Recognition for completing the 5-week Machine Learning program and its end-to-end project.
Ready to Build with Machine Learning?
Join the 5-week workshop. Move from data preparation to production-ready models with confidence.
Apply NowFAQs
The Machine Learning workshop is a 5-week intermediate-to-advanced program that builds a grounded understanding of data preparation, core learning approaches, model evaluation, and practical implementation. You'll develop an end-to-end model for a defined dataset, including preparation, baseline, evaluation, and explanation.
Learners with basic Python and data handling experience who want to move beyond tutorials and build production-ready ML skills. The program is designed for Intermediate → Advanced progression.
Basic Python, data structures, and introductory statistics are recommended. The workshop assumes familiarity with Python and focuses on ML concepts rather than programming basics.
Python, Pandas, NumPy, scikit-learn, Jupyter — the standard ML toolkit. Specific tooling varies by project but all tools are standard in the industry.
An end-to-end model for a defined dataset, including preparation, baseline, evaluation, and explanation. You'll implement regression and classification baselines, perform clustering and dimensionality reduction, and produce an evaluation report.
5 weeks. Structured weekly sessions with data-first sessions, guided model building, evaluation deep-dives, and mentor support throughout.
Click "Apply Now" on this page. Fill out the application form. 80 Startups will review your application and contact you regarding next steps. No payment is required to apply.
Payment is collected after enrollment confirmation, not during application. The workshop price is ₹5,000. You apply first, 80 Startups reviews your application, and if accepted, you'll receive payment instructions. No payment is collected now.