Programme Curriculum

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Duration

3 Months

Eligibility

Graduate in any discipline

Fees

Rs. 8000

Who is this course for?

Students who are looking to grab opportunity in machine learning sector.

Program Overview

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.

Syllabus

  1. Basics of Machine Learning
  2. Supervised Machine Learning
  3. Unsupervised Learning
  4. Regression Algorithms
  5. Clustering Models
  6. R Markdown, Knitr, Rpubs
  7. ggplot2
  8. Computation with Python – NumPy, SciPy
  9. Pandas
  10. Aggregating and Analysing Data with dplyr
  11. Data Visualisation in Python – Matplotlib
  12. Introduction to scikit-learn
  13. Web Scraping in Python – Beautiful Soup
  14. Introduction to (Py) Spark

Take away from this course

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.