The Complete Supervised Machine Learning Models in R (2021)

The Complete Supervised Machine Learning Models in R (2021) - Druckversion

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The Complete Supervised Machine Learning Models in R (2021) - Panter - 04.01.2022

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The Complete Supervised Machine Learning Models in R (2021)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 95 lectures (13h 15m) | Size: 5.4 GB

Learn the Intuition and Math behind Every Model

What you'll learn
Learn Complete Supervised Machine Learning Models in R
Learn the Math behind every machine learning model
Learn the intuition of each model
Learn to make simple and GUI based templates
Learn to choose the best machine learning model for a specific problem
Requirements
Basics of Any Programming Language is Required
Description
In this course, you are going to learn all types of Supervised Machine learning Models implemented in R. The Math behind every Model is very Important. Without it, you can never become a Good Data Scientist . That is the reason, I have covered the Math behind every model in the intuition part of each model.
Implementation in R is done in such a way so that not only you learn how to implement a specific Model in R but you learn how to build real times templates and find the accuracy rate of Models so that you can easily test different models on a specific problem, find the accuracy rates and then choose the one which give you the highest accuracy rate.
Now anyone who wants to learn Supervised Machine learning Models in R or Anyone who wants to learn the behind the Machine learning Models or anyone curious about Data Science can enroll in this course as this is the right one for them. I assure you that after you have completed this course you will be a pro in Supervised machine learning models using R language and you will have a grip on all these models.
I am looking forward to see you in the course.
Best Regards
Who this course is for
Anyone who wish to learn supervised machine learning model is the target audience for this course

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