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[Udemy] Logistic Regression in R Studio

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What you’ll learn

  • Perceive the best way to interpret the results of Logistic Regression mannequin and translate them into actionable perception
  • Study the linear discriminant evaluation and Ok-Nearest Neighbors method in R studio
  • Learn to resolve actual life drawback utilizing the completely different classification methods
  • Preliminary evaluation of knowledge utilizing Univariate evaluation earlier than working classification mannequin
  • Predict future outcomes foundation previous information by implementing Machine Studying algorithm
  • Indepth information of knowledge assortment and information preprocessing for Machine Studying logistic regression drawback


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


How this course will make it easier to?

Verifiable Certificates of Completion is offered to all college students who undertake this Machine studying fundamentals course.

If you’re a enterprise supervisor or an govt, or a scholar who desires to study and apply machine studying in Actual world issues of enterprise, this course gives you a stable base for that by educating you the most well-liked Classification methods of machine studying, corresponding to Logistic Regression, Linear Discriminant Evaluation and KNN

Why do you have to select this course?

This course covers all of the steps that one ought to take whereas fixing a enterprise drawback utilizing classification methods.

Most programs solely deal with educating the best way to run the evaluation however we consider that what occurs earlier than and after working evaluation is much more necessary i.e. earlier than working evaluation it is extremely necessary that you’ve the appropriate information and do some pre-processing on it. And after working evaluation, it is best to have the ability to choose how good your mannequin is and interpret the outcomes to really have the ability to assist your small business.

What makes us certified to show you?

The course is taught by Abhishek and Pukhraj. As managers in World Analytics Consulting agency, we now have helped companies resolve their enterprise drawback utilizing machine studying methods and we now have used our expertise to incorporate the sensible points of knowledge evaluation in this course

We’re additionally the creators of a number of the hottest on-line programs – with over 150,000 enrollments and hundreds of 5-star critiques like these ones:

This is superb, i like the actual fact the all rationalization given might be understood by a layman – Joshua

Thanks Writer for this excellent course. You’re the finest and this course is price any value. – Daisy

Our Promise

Educating our college students is our job and we’re dedicated to it. In case you have any questions concerning the course content material, observe sheet or something associated to any subject, you’ll be able to at all times submit a query in the course or ship us a direct message.

Obtain Apply recordsdata, take Quizzes, and full Assignments

With every lecture, there are class notes hooked up so that you can comply with alongside. You can too take quizzes to verify your understanding of ideas. Every part accommodates a observe project so that you can virtually implement your studying.

What is roofed in this course?

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

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

· Part 1 – Fundamentals of Statistics

This part is split into 5 completely different lectures ranging from kinds of information then kinds of statistics then graphical representations to explain the info after which a lecture on measures of heart like imply median and mode and lastly measures of dispersion like vary and commonplace deviation

· Part 2 – R fundamental

This part will make it easier to arrange the R and R studio in your system and it will educate you the best way to carry out some fundamental operations in R.

· Part 3 – Introduction to Machine Studying

On this part we are going to study – What does Machine Studying imply. What are the meanings or completely different phrases related to machine studying? You will notice some examples so that you simply perceive what machine studying truly is. It additionally accommodates steps concerned in constructing a machine studying mannequin, not simply linear fashions, any machine studying mannequin.

· Part 4 – Information Pre-processing

On this part you’ll study what actions it’s good to take a step-by-step to get the info after which put together it for the evaluation these steps are essential.

We begin with understanding the significance of enterprise information then we are going to see the best way to do information exploration. We discover ways to do uni-variate evaluation and bi-variate evaluation then we cowl matters like outlier remedy and lacking worth imputation.

· Part 5 – Classification Fashions

This part begins with Logistic regression after which covers Linear Discriminant Evaluation and Ok-Nearest Neighbors.

We’ve got coated the essential concept behind every idea with out getting too mathematical about it so that you simply perceive the place the idea is coming from and the way it will be important. However even when you do not perceive it, it is going to be okay so long as you discover ways to run and interpret the outcome as taught in the sensible lectures.

We additionally have a look at the best way to quantify fashions efficiency utilizing confusion matrix, how categorical variables in the unbiased variables dataset are interpreted in the outcomes, test-train cut up and the way can we lastly interpret the outcome to seek out out the reply to a enterprise drawback.

By the tip of this course, your confidence in making a classification mannequin in R will soar. You may have a radical understanding of the best way to use Classification modelling to create predictive fashions and resolve enterprise issues.

Who this course is for:

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

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