[Udemy] Machine Learning Basics: Building Regression Model in Python

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What you’ll learn

  • Knowledge of Linear regression technique
  • How to run linear regression in Python
  • Preparing the data before training any model

Requirements

  • Just a PC with any web browser

Description

What’s special about this course?

The course is created on the basis of three pillars of learning:

  1. Know (Study)
  2. Do (Practice)
  3. Review (Self feedback)

Know

We have created a set of concise and comprehensive videos to teach you all the Regression related skills you will need in your professional career.

Do

We also provide Exercises to complement the learning from the lecture video. These exercises are carefully designed to further clarify the concepts and help you with implementing the concepts on practical problems faced on-the-job.

Review

Check if you have learnt the concepts by executing your code and analyzing the result set. Ask questions in the discussion board if you face any difficulty.

Bonus Lectures

Apart from this, their is a bonus section which covers important topics from the view of job interviews and Vivas.

The Authors of this course have several years of corporate experience and hence have curated the course material keeping in mind the requirement of Regression analysis in today’s corporate world.

Who this course is for:

  • Working Professionals beginning their Data journey
  • Anyone curious to master Linear Regression from beginner to Advanced in short span of time
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