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  • Linear Regression and Regularisation

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 from scratch and how
    to overcome the problem of overfitting in machine learning. Not just that,learn
    about various advancedregression algorithms and metrics to evaluate the models.

Created by Selva Prabhakaran

  • 50 Video Lessons

  • English

  • English captions

Validity Period: 365 days

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  •  Course Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts

What you will learn

01

What is Linear Regression
and where can it be used?

02

Build Regression Model from scratch

03

Perform thr 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

8 Modules      |    56 Sessions     |    7 hour 31 min Total Time  

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Introduction to Linear Regression

Sessions: 7 | Time: 31 min expand_more

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Regression Algorithm from scratch: Gradient Descent

Sessions: 5 | Time: 43 min expand_more

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Model Building and Concepts Part- 1

Sessions: 9 | Time: 59 min expand_more

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Model Building and Concepts Part- 2

Sessions: 10 | Time: 57 min expand_more

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Model Selection Approaches

Sessions: 8 | Time: 1 hr 23 min expand_more

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Regularization Modelling Approaches

Sessions: 7 | Time:1 hr 14 min expand_more

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Outlier Resistant and Advanced Regression

Sessions: 8 | Time:1 hr 22 min expand_more

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Maximum Estimation for Linear Regression

Sessions: 2 | Time: 22 min expand_more

Requirements

  • Courses Page1 Basic Maths and Logical Reasoning
  • Courses Page1 Curiosity about Data Science
  • Courses Page1 Learning Mindset

Who should attend this course?

  • Future Data Scientists and ML Engineers

  • Product Managers, Program Managers, Scrum Masters working in ML/Data science project

  • Software/Data engineers interested in quantitative analysis

  • Software engineers interfacing with data science team

  • Executives who have to lead or interact with Data Scientists

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

Validity Period: 365 days

Get Subscription

Already Subscribed? Click here to access your courses

  •  Workshop Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts