Data Science 2 - Foundations of ML

Basic Math and Stats for ML

  • Bootcamp
  • Gamified
  • Taught By Architects

Taught By Architects

Courses taught by experienced Architects in the field. Not academicians.

Totally Hands-on

Builds the muscle memory of a seasoned professional.

Best In The Market

Best in the market in career oriented bootcamp programs

Course Description

Basic Math and Stats for ML

Data Science 2 - Foundations of ML

The best program in the market, now even got better

169+ reviews

Course Description

Basic Math and Stats for ML

Course Prerequisites

What is Covered

Course contents included in this program

Math & Stats for ML

  • Introduction to Set Theory
  • Introduction to Linear Algebra
  • Introduction to Statistics
  • Probability
  • Distributions and Associated Statistics
  • Statistics Revisited
  • Outlier Analysis
  • Introduction to Prediction Models

Regression models I

  • Supervised Models and Linear Regression
  • Polynomial Regression
  • Cross Validation
  • Generalized regression models

Classification models I

  • Classification - Logistic Regression
  • Multivariate Logistic Regression
  • Naives Bayes Classifier
  • Capstone Project

Classes Open For Enrollment

Start Date Sessions Location

Democratizing careers.

At a hackathon

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Program Media

Pictures, videos and brochures

Alumni Presentations (Silicon Valley Cohort)

Alumni Presentations (Silicon Valley Cohort)