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Data Analysis is a systemic technique of cleaning, exploring, processing and modelling data for creating valuable insights.
Data Mining is a method of sifting through massive data sets to discover meaningful pattern.
R is an open source, high level programming language suitable for data analysis, data mining, and machine learning. The learning curve for R programming is not steep. It is popular among statisticians, data analysts and data scientists.
Regression is one of the supervised machine learning methods where the outcome is continuous.
Classification method is one of the supervised machine learning methods where the outcome is discrete.
Model Selection is the process of selecting the best machine learning model among the list of models based on different evaluation metrics.