Pranav Dar — Updated On April 1st, 2020
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Ideal Time to Start your Machine Learning Journey!

Picture this – you want to learn all about machine learning but just can’t find the time. There’s too much to do, whether that’s our professional work or your exams are around the corner. Suddenly, you have a lot of time on your hands and a once-in-a-lifetime opportunity to learn machine learning and apply it!

That’s exactly the opportunity in front of you right now. We are living in unprecedented times with half the world in complete lockdown and following social distancing protocols. There are two types of people emerging during this lockdown:

  • Those who are watching movies and surfing the internet to pass the time
  • Those who are eager to pick up a new skill, learn a new programming language, or apply your machine learning knowledge

If you’re in the latter category – we are thrilled to announce the:

Machine Learning Starter Program!


You can use the code ‘LOCKDOWN’ to enroll in the Machine Learning Starter Program for FREE! You will have access to the course for 14 days from the day of your enrollment. Post this, the fee of the Program will be Rs. 4,999 (or $80).


What is the Machine Learning Starter Program?

The Machine Learning Starter Program is a step-by-step online starter program to learn the basics of Machine Learning, hear from industry experts and data science professionals, and apply your learning in machine learning hackathons!

This is the perfect starting point to ignite your fledging machine learning career and take a HUGE step towards your dream data scientist role.

The aim of the Machine Learning Starter Program is to:

  • Help you understand how this field is transforming and disrupting industries
  • Acquaint you with the core machine learning algorithms
  • Enhance and complement your learning through competition and hackathon exposure

We believe in a holistic learning approach and that’s how we’ve curated the Machine Learning Starter Program.


What does the Machine Learning Starter Program include?

There are several components in the Machine Learning Starter Program:

  • Machine Learning Basics Course
  • Expert Talks on various machine learning topics by industry practitioners
  • 2 awesome machine learning hackathons
  • E-book on “Machine Learning Simplified”

Let’s explore each offering in a bit more detail.


Machine Learning Basics Course


This course provides you all the tools and techniques you need to apply machine learning to solve business problems. Here’s what you’ll learn in the Machine Learning Basics course:

  • Understand how Machine Learning and Data Science are disrupting multiple industries today
  • Linear, Logistic Regression, Decision Tree and Random Forest algorithms for building machine learning models
  • Understand how to solve Classification and Regression problems in machine learning
  • How to evaluate your machine learning models and improve them through Feature Engineering
  • Improve and enhance your machine learning model’s accuracy through feature engineering

Expert Talks


There is no substitute for experience.

This course is an amalgamation of various talks by machine learning experts, practitioners, professionals and leaders who have decades upon decades of learning experience with them. They have already gone through the entire learning process and they showcase their work and thought process in these talks.

This course features rockstar data science experts like Sudalai Rajkumar (SRK), Professor Balaraman Ravindran, Dipanjan Sarkar, Kiran R and many more!


Machine Learning Hackathons


The Machine Learning Starter Program features two awesome hackathons to augment your learning:

  • JanataHack
  • Machine Learning Starter Program hackathon

Come, interact with the community, apply your machine learning knowledge, hack, have fun and stay safe.

E-Book on “Machine Learning Simplified”


This e-book aims to provide an overview of machine learning, recent developments and current challenges in Machine Learning. Here’s a quick summary of what’s included:

  • What is Machine Learning?
  • Applications of Machine Learning
  • How do Machines Learn?
  • Why is Machine Learning getting so much attention?
  • Steps required to Build a Machine Learning Model
  • How can one build a career in Machine learning?

and much more!


Who is the Machine Learning Starter Program for?

The Machine Learning Starter Program is for anyone who:

  • Is a beginner in machine learning
  • Wants to kick start their machine learning journey
  • Wants to learn about core machine learning algorithms
  • Is interested in a practical learning environment
  • Wants to practice and enhance their existing machine learning knowledge


So, what are you waiting for? Enroll in the Machine Learning Starter Program for FREE using the code ‘LOCKDOWN’ and begin your learning journey today!

About the Author

Pranav Dar
Pranav Dar

Senior Editor at Analytics Vidhya. Data visualization practitioner who loves reading and delving deeper into the data science and machine learning arts. Always looking for new ways to improve processes using ML and AI.

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4 thoughts on "Announcing the Machine Learning Starter Program! [FREE Access for 14 Days!]"

Chandan says: April 01, 2020 at 10:42 am
Today I received a mail from analytics vidya regarding free 14 days trial to their ML Course. But unfortunately unable to enroll due to some cookies issues. I cleared the cookies of my browser checked in other browser as well but not able to enroll. Error: Too many redirects. Guys atleast make your website functional to use. If a person cannot enroll in the course. Then what will you teach in the course. Good bye 👋 Reply
Sudeep says: April 01, 2020 at 11:21 am
Hi, Unable to register. It gives an error "This page isn’t working redirected you too many times." Reply
Pranav Dar
Pranav Dar says: April 01, 2020 at 4:10 pm
Hi Sudeep - The page is working - can you please check again? Reply
Pranav Dar
Pranav Dar says: April 01, 2020 at 4:11 pm
Hi Chandan, The link is working now. It was a temporary technical glitch that has been corrected so you can go ahead and enroll yourself. Reply

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