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Course for Graduates

Machine Learning with Python Programming

Machine learning is a form of artificial intelligence where the focus is to develop computer programs that automate data analysis by learning and adapting through the experience without the need for precise programming. Our course has been designed to help you master machine learning concepts and techniques working with actual data, developing algorithms through supervised and unsupervised learning, performing classification and regression operations and constructing time series models. This course explores in depth the libraries and functionalities the python programming language offers for machine learning techniques in order to draw conclusions from data. The course includes 2 projects to solidify your knowledge and skills you’ve gained.

Course Duration – 50 Hrs
Model – Classroom/Online

Why Learn Machine Learning with Python

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.


  • Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
  • Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
  • Any students in college who want to start a career in Data Science.
  • Any data analysts who want to level up in Machine Learning.
  • Any people who want to create added value to their business by using powerful Machine Learning tools.

Course Syllabus

  • Introduction to Artificial Intelligence and Machine Learning
  • Introduction to Python
  • Python Functions, Modules and Packages
  • Python String, List And Dictionary Manipulations
  • Python Object Oriented Programming – Oops
  • Python Database Interaction
  • Machine Learning With Python
  • Data Wrangling and Manipulation
  •  Supervised Learning
  • Feature Engineering
  • Supervised Learning
  • Unsupervised Learning
  • Time Series Modelling
  • Ensemble Learning
  • Recommender Systems
  • Text Mining

What you benefit from the programme ?

  • Master Machine Learning on Python & R
  • Have a great intuition of many Machine Learning models
  • Make accurate predictions
  • Make powerful analysis
  • Make robust Machine Learning models
  • Create strong added value to your business
  • Use Machine Learning for personal purpose
  • Handle specific topics like Reinforcement Learning, NLP and Deep Learning
  • Handle advanced techniques like Dimensionality Reduction
  • Know which Machine Learning model to choose for each type of problem
  • Build an army of powerful Machine Learning models and know how to combine them to solve any problem


The Certificate Title the student will get at the end of the course will be Certification Programme Machine Learning with Python. Students who will maintain the minimum academic credentials will get “A” graded certificate, failing which the students will get only a participation certificate.