As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course The course is taught by Abhishek and Pukhraj. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.

before running analysis it is very important that you have the right data and do some pre-processing on it.

Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. This course covers all the steps that one should take while solving a business problem using classification techniques. If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular Classification techniques of machine learning, such as Logistic Regression, Linear Discriminant Analysis and KNN Confidently practice, discuss and understand Machine Learning conceptsĪ Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.Create different Classification modelling model in R and compare their performance.Identify the business problem which can be solved using Classification modeling techniques of Machine Learning.You've found the right Classification modeling course covering logistic regression, LDA and kNN in R studio!Īfter completing this course, you will be able to: You're looking for a complete Classification modeling course that teaches you everything you need to create a Classification model in R, right?

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