Python is an open source programming language appropriate for doing broad range of tasks. It is high level language, and the learning curve is not steep. There are many machine learning libraries that can be utilized by running python code.

Data Analysis is a systemic technique of cleaning, exploring, processing and modelling data for creating valuable insights.

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Model Selection is the process of selecting the best machine learning model among the list of models based on different evaluation metrics.

Classification method is one of the supervised machine learning methods where the outcome is discrete.

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.

Data Mining is a method of sifting through massive data sets to discover meaningful pattern.

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