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Machine Learning and Statistical Learning with R
An excellent training about Data Science
Machine Learning with R
This is the bite size course to learn R Programming for Machine Learning and Statistical Learning. In CRISP DM data mining process, machine learning is at the modeling and evaluation stage. You will need to know some Rprogramming, and you can learn Rprogramming from my “Create Your Calculator: Learn R Programming Basics Fast” course. You will learn R Programming for machine learning and you will be able to train your own prediction models with naive bayes, decision tree, knn, neural network, linear regression, and evaluate your models very soon after learning the course. You can take the course as follows, and you can take a exam at EMHAcademy to get SVBook Certified Data Miner using R certificate: – Create Your Calculator: Learn R Programming Basics Fast (R Basics)- Applied Statistics using R with Data Processing (Data Understanding and Data Preparation)- Advanced Data Visualizations using R with Data Processing (Data Understanding and Data Preparation, in future)- Machine Learning with R (Modeling and Evaluation)ContentGetting StartedGetting Started 2Getting Started 3Data Mining ProcessDownload Data setRead Data setSome ExplanationsSimple Linear RegressionBuild Linear Regression ModelsPredict Linear Regression ModelsKMeans ClusteringKMeans Clustering in RAgglomeration ClusteringAgglomeration Clustering in RDecision Tree ID3 ALgorithmDecision Tree in R:Split train and test setDecision Tree in R:Train Decision TreeDecision Tree in R:Predict Decision TreeKNNClassificationTrain KNN in RPredict KNN in RNaive Bayes ClassificationNaive Bayes in RNeural Network ClassificationNeural Network in RWhat Algorithm to Use?Model EvaluationModel Evaluation using R for ClassificationModel Evaluation using R for Regression
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