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Machine Learning - Code First Basics

A code oriented and intense workshop spread over 2 weekends which follows the Python-preparator, designed to quickly get you up-to speed with the prerequisites for Machine Learning: X program. The course will consist of:

4 lectures + 4 labs (1 weekend) 

1 hack half-day (next weekend)

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Applications opening soon
Registration Closed


To be decided


2 Weekends

Time Investment

4 Days


Live Online




Registration closes

To be decided

Course Outcome

Program Overview

Program Overview

Become prepared to take the ML X program and begin a rewarding journey towards expertise in Data Science.

  • Essence of learning: polynomial model, regression, test set, complexity curve
  • Validation and Regularization: Complexity curve, validation, cross-val
  • Regression andClassification: categorical variables and interactions
  • Gradient Descent and Stochastic Gradient Descent


Hack Half-Day: Classification on an image dataset

Who should apply

Those who have intend to take the ML X program but lack the prerequisites. This follows the Python-Preparator.

See if you are ready


Class Timings

Course Structure

Live online classes
1. Live Online Classes

Bi-weekly live, cohort-based lessons with labs and quizzes

2. Mentor-Supported

Ten or more hours/week to interact with an experienced & accomplished mentor

Module end Project
3. End-of-Module Project

Complex problems that challenge you to apply what you learn

4. Capstone

10–12 week long Capstone Project with one of our partner companies or faculty

Program Faculty

Dr Rahul Dave

Chief Scientist, Univ.AI

Rahul is a co-founder of Univ.AI. Before starting Univ.AI, Rahul was a lecturer at Harvard University. He was on the original team for Harvard’s famous Data Science course, cs109, and has taught machine learning, statistics, and AI courses, both at Harvard and at multiple conferences and workshops.

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