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[Udemy] ML for Business Managers: Build Regression model in R Studio

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What you’ll learn

  • Discover ways to clear up actual life downside utilizing the Linear Regression approach
  • Preliminary evaluation of knowledge utilizing Univariate and Bivariate evaluation earlier than working Linear regression
  • Predict future outcomes foundation previous knowledge by implementing Easiest Machine Studying algorithm
  • Perceive how you can interpret the results of Linear Regression model and translate them into actionable perception

Requirements

  • College students might want to set up R and R studio software program however we’ve got a separate lecture that will help you set up the identical

Description

This course teaches you all of the steps of making a Linear Regression model, which is the most well-liked Machine Studying model, to resolve enterprise issues.

Beneath are the course contents of this course on Linear Regression:

· Part 1 – Fundamentals of Statistics

This part is split into 5 totally different lectures ranging from varieties of knowledge then varieties of statistics

then graphical representations to explain the info after which a lecture on measures of middle like imply

median and mode and lastly measures of dispersion like vary and commonplace deviation

· Part 2 – R primary

This part will allow you to arrange the R and R studio in your system and it will educate you how you can carry out some primary operations in R.

· Part 3 – Introduction to Machine Studying

On this part we’ll be taught – What does Machine Studying imply. What are the meanings or totally different phrases related to machine studying? You will notice some examples so that you just perceive what machine studying truly is. It additionally incorporates steps concerned in constructing a machine studying model, not simply linear fashions, any machine studying model.

· Part 4 – Information Preprocessing

On this part you’ll be taught what actions it’s worthwhile to take a step-by-step to get the info after which

put together it for the evaluation these steps are crucial.

We begin with understanding the significance of enterprise data then we’ll see how you can do knowledge exploration. We learn to do uni-variate evaluation and bi-variate evaluation then we cowl matters like outlier remedy, lacking worth imputation, variable transformation and correlation.

· Part 5 – Regression Model

This part begins with easy linear regression after which covers a number of linear regression.

We’ve coated the fundamental idea behind every idea with out getting too mathematical about it so that you just perceive the place the idea is coming from and the way it is crucial. However even for those who do not perceive it, will probably be okay so long as you learn to run and interpret the consequence as taught in the sensible lectures. We additionally take a look at how you can quantify fashions accuracy, what’s the which means of F statistic, how categorical variables in the unbiased variables dataset are interpreted in the outcomes, what are different variations to the odd least squared methodology and the way will we lastly interpret the consequence to seek out out the reply to a enterprise downside.

By the tip of this course, your confidence in making a regression model in R will soar. You will have a radical understanding of how you can use regression modelling to create predictive fashions and clear up enterprise issues.

Who this course is for:

  • Individuals pursuing a profession in knowledge science
  • Working Professionals starting their Information journey
  • Statisticians needing extra sensible expertise

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