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.

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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
  • Regularization

Classification models I

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

Classes Open For Enrollment


Start Date Sessions Location
Wednesday, June 26, 2019 2 days a week Saturdays 2:30PM-5PM CST Wednesday 6:30PM-9PM CST
Program Fee $1,499.00
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Program Media

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Alumni Presentations (Silicon Valley Cohort)

Alumni Presentations (Silicon Valley Cohort)