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Linear Regression and Regularisation

  • Linear Regression is one of the most widely and foundational regression algorithm
    of machine learning. Learn how to build a regression model from scratch and how
    to overcome the problem of overfitting in machine learning. Not just that, learn
    about various advanced regression algorithms and metrics to evaluate the models.

Created by Selva Prabhakaran

  • 50 Video Lessons

  • English

  • English captions

What you will learn

01

What is linear regression
and where can it be used?

02

Build regression
model from scratch

03

Perform the pre model
build analysis

04

Check if the model is overfitted and learn to check the assumptions of linear regression and rectify

05

Find the influential
points in the data

06

Learn the advanced
regression algorithms

07

Evaluate the model
using various evaluation metrics

08

Implement linear regression
in a project and solve it end to end

Course Curriculum

Requirements

  • Courses Page1 Basic Maths and Logical Reasoning
  • Courses Page1 Basic Python, Pandas
  • Courses Page1 Intent to become good at Data Science
  • Courses Page1 Learning Mindset

Who should attend this course?

  • Future Data Scientists

  • ML Engineers

  • People Managers, Product Managers

  • Program Managers, Scrum Masters

  • Software engineers working with ML/Data Science Project / Team and want to know how ML works.

  • Students and researchers using ML for their projects

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 15+ Courses