Introduction to Machine Learning in R | Data Science Online Course by Udemy

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Machine learning, neural networks, regression, SVM, naive bayes classifier, bagging, boosting, random forest classifier

An excellent training about Data Science

Introduction to Machine Learning in R

This course is about the fundamental concepts of machine learning, facusing on neural networks. This topic is getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example. We may construct algorithms that can have a very good guess about stock prices movement in the market. Section 1:R basicsdata visualizationmachine learning basicsSection 2:linear regression and implementationSection 3:logistic regression and implementationSection 4:k-nearest neighbor classifier and implementationSection 5:naive bayes classifier and implementationsupport vector machines (SVMs)Section 6:tree based approachesdecision treesrandom forest classifierSection 7:clustering algorithms k means clustering and hierarchical clusteringboostingSection 8:neural networks in Rfeedforward neural networks and its applicationscredit scoring with neural networksThanks for joining the course, let’s get started!

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