Graduate in any discipline
Students who are looking to grab opportunity in machine learning sector.
This course is designed to teach you the basics of Machine Learning. The course covers practical issues in machine learning which includes Clustering Models, R Markdown, Knitr, Rpubs, ggplot2, Computation with Python (NumPy, SciPy, Pandas), Aggregating and Analysing Data with dplyr, Data Visualisation in Python (Matplotlib), Introduction to scikit-learn, Web Scraping in Python ( Beautiful Soup) and Introduction to (Py) Spark.
Students will learn all the practical issues in machine learning which includes usage of different packages in R and Python for data analysis, data cleaning and data representation.