[ DevCourseWeb.com ] Regression & Classification with Machine Learning in R
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MP4 | h264, 1280x720 | Lang: English | Audio: aac, 44100 Hz | 4h 16m | 1.44 GB
What you'll learn
Your comprehensive guide to Regression Analysis & Classification for machine learning using R-programming language
It covers theory and applications of supervised machine learning with the focus on regression & classification analysis
Implement Machine Learning Techniques/Classification Such As Random Forests, SVM etc in R
Build machine learning based regression & classification models and test their robustness in R
Perform model's variable selection and assess regression model's accuracy
Evaluate Model Performance & Learn The Best Practices For Evaluating Machine Learning Model Accuracy
Compare different different machine learning models in R
Learn R-programming from scratch: R crash course is included that you could start R-programming for machine learning
Graphically representing data in R before and after analysis
Requirements
Availability computer and internet & strong interest in the topic
Description
Regression Analysis and Classification for Machine Learning & Data Science in R
My course will be your hands-on guide to the theory and applications of supervised machine learning with a focus on regression analysis and classification using the R-programming language.
Unlike other courses, it offers NOT ONLY the guided nstrations of the R-scripts but also covers theoretical background that will allow you to apply and understand REGRESSION ANALYSIS and CLASSIFICATION (Linear Regression, Random Forest, KNN, etc) in R. We will cover many R packages incl. caret package for supervised machine learning tasks.
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
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