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Machine Learning Training Course

(59 Ratings)
Students Enrolled

In collaboration with IBM, Greycampus presents a comprehensive Machine Learning training course that covers Python, Supervised and Unsupervised Learning, Recommender Systems and many more industry-specific techniques and strategies of Machine Learning. Developed by industry experts, this course will bring you up to pace on all the strategies and tools that ML engineers incorporate in their work on a day-to-day basis.


Highly interactive Online Training.

2 Projects to provide hands-on experience

Teaching assistance to support your learning journey

Course Overview

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.

schedules timings price
08 - 19
Nov 2020
05:00 PM - 08:00 PM
USD 700

Course Curriculum

  • Introduction to Artificial Intelligence and Machine Learning
  • Data Wrangling and Manipulation
  • Supervised Learning
  • Feature Engineering
  • Supervised Learning
  • Unsupervised Learning

What You Get

1. 30 hours spread across 8 days of Online Training

2. 12 hours of self-paced learning

3. 2 projects to provide hands-on training

4. Teaching assistance to support your learning journey

5. Learn the required skills using Jupyter Notebook web application

Dual Certification

  • Machine Learning Sample Certificate

    IBM Certification
  • Machine Learning Sample Certificate

    Course Completion Certificate from GreyCampus

Boost your career. Get certified.


The prerequisite for this Machine Learning course is a basic understanding of mathematics and statistics at a graduate level. The learner should have an understanding of Python for Data Science and Statistics essential for Data Science, for a better understanding of the Machine Learning course.


"The project work really nailed what I learnt in the online classes. I recommend taking the project work they provide seriously."

- Kevin Johnson

"I really like the fact that I can do the self paced content over the week and then take up the instructor classes at the weekend."

- Jeanne Turner

"It took a lot of effort and dedication but I'm so happy that I put in the effort. Switching careers paid off as I just landed a AI/ML statistician job! Good job guys!"

- Angela Webb


  • How many projects are included in this course?

    This course includes 2 hands-on projects to put it into practice what you learn throughout the course.

  • What is Machine Learning?

    Machine learning works on bringing together statistics and computer science to enable computers to learn how to do a given task without being programmed to do so. It focuses on the designing of the system, thereby allowing them to learn and derive meaning from all the available data. The goal is to allow machines to learn and adapt without human intervention.

  • What is the duration of this course?

    • 30 hours spread across 8 days of Online Training


  • What is the cancellation and refund policy for Machine Learning Training?

    This training is being delivered in partnership with a third party Organization (IBM). In the event of a cancellation from your side, we'll not be able to apply a refund to your payment. You may, however, transfer your registration to another person.


    In the unlikely event that we cancel or reschedule a training schedule, we'll give you the option to either ask for a full refund or get a free transfer to another set of dates.

Download full course agenda/brochure