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In this video on Machine Learning with R, you will understand machine learning, applications of machine learning, and learn R programming. In this machine learning full course, you will also understand machine learning algorithms, such as linear regression, logistic regression, decision tree, and random forest to name a few.

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The topics covered in this Machine Learning Tutorial video are:
00:00:00 Introduction
00:00:57 Machine Learning Basics
00:31:50 Machine Learning Applications
00:13:41 R programming
05:51:08 Linear Regression in R
06:20:14 Logistic Regression in R
06:38:20 Decision Tree in R
07:22:28 Random Forest in R
07:47:36 Support Vector Machine in R
08:24:41 Hierarchical Clustering in R
08:48:33 Time Series Analysis in R

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Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. So, put simply, the iterative aspect of machine learning is the ability to adapt to new data independently. This is possible as programs learn from previous computations and use “pattern recognition” to produce reliable results.

R is a widely popular programming language in the field of machine learning. R is an open-source programming language used for statistical computing. It is one of the most popular programming languages today. R was inspired by S+, which is similar to the S programming language. R has various data structures and operators. It can be integrated with other programming languages like C, C++, Java, and Python.


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