The whole journey of the course is all about R Programming first, then Machine Learning including the concept of Data Science using R programming. Flexibility and ease are the desire of every Data Scientist or machine learning expert, but because of steep learning, student get tired and overwhelmed. The journey of machine learning especially got confused due to Math and Statistics behand! The Course designed is such a way, that will be useful for all level specially student who are learning and under working on it. This separate session in Module I is all about R programming including Theoretical and Practical work using R Studio IDE, whereas in Module II, the individually session of supervised and unsupervised machine learning algorithm will be discussed. The discussion of each session based on live and real life example and dataset to make you understand in better way. The Course has Two Module, in Module-I you will learn: What is R, Installation, HELLO WORLD! Variable and Data typesOperators in RData StructureAtomic vector All OperationsList All OperationsArray All OperationsMatrices All OperationsData Frame All OperationsFactors All OperationsControl structures (if statements / Family)Switch statementsLoops (For, while, repeat)Jump StatementsFunctions & TypesData VisualizationAdvance Data Visualization using ggplot2. In Module-II you will learn: Machine Learning Introduction and DatasetRegressionLinear RegressionMultiple Linear RegressionPolynomial RegressionSupport Vector RegressionClassificationLogistic RegressionSupport Vector ClassificationK Nearest Neighbors ClassificationClusteringHierarchical Clustering AlgorithmK Means Clustering AlgorithmAssociationApriori AlgorithmEclat AlgorithmF-P Growth AlgorithmIn Final words, the Couse is useful for all skill level, even you do not know about any programming language and Statistics behand it. Now, I will be very excised to see you in the course. Regards, Fahad Hussain
