Bootcamp Overview

This program is designed precisely to build an intuition for problem solving, which can be applied on Real World problems. By the end of this program you will be able to use Python for Data Science Summarize data for analysis Build, implement, and evaluate data science problems using appropriate machine learning models and algorithms

Program in Numbers

  • 60 Hours
  • 120+ Assignments
  • 2 Guided Projects
  • 1 Mentored Hackathon
  • 1 Live Industry Sessions
  • 6 months access to Commit.Live

Learning Benefits

  • Access to videos even after you graduate
  • Fast-Paced Learning anywhere anytime
  • Build a strong social presence and a great professional network

Compared to the outdated university programs, GreyAtom’s industry-relevant and pragmatic coursework was a pleasant surprise. Their faculty is made of industry figures who are on top of their game. Spending a few hours with these trainers was equivalent to days worth of learning via online courses. Also, despite running a tight schedule, they make sure to resolve all your questions and provide detailed clarifications.


Muhammad Mudassir Khan
Data Science Program, Data Analyst, MMS.Ind


In Cricket League teams representing Indian cities contend each year. Chris Gayle is the highest run scorer in Cricket League. Do you know who is the second highest run scorer (without using ‘for’ loop)? This module can help you determine the second highest run scorer by manipulating large data sets to extract business insights

This project challenges you to manipulate large datasets without using conventional programming techniques to extract business insights

  • Basic Python Programming constructs

    An introduction to the basic concepts of Python. Learn how to use Python both interactively and through a script.

  • Functions and OOP in Python, NumPy basics

    Learn to work with the NumPy array, a faster and more powerful alternative to the list, and take your first steps in data exploration.

  • Learn Pandas basic concepts, work with Series

    Learn about the Pandas DataFrame, the superior alternative to the Python list and dictionary built on NumPy, and the de facto standard to work with tabular data in Python.

  • Work with Pandas DataFrame (Advanced)

    You will learn how to tidy, rearrange, and restructure your data using versatile pandas DataFrames.

  • Working with Visualizations

    You will learn to build various types of plots and to customize them to make them more visually appealing and interpretable.

Tech Stack

git github Commit.Live Python

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this dataset will help you determine aspects which influence price of a property other than sq.ft. area and locality.

This project challenges you to predict the final price of each home.

  • Introduction to Machine Learning

    Learn to convert a Business problem to a Machine Learning problem. # The problem: I want to predict the price of a house in NY. How to do it?

  • Descriptive Statistics

    Summarize the Housing Price dataset

  • Inferential Statistics

    Learn the Art of Statistical Inference and draw conclusions from your data.Find if raising the price of a House caused a meaningful drop in sale.

  • Exploratory Data Analysis

    Make sure you know what is the question you are trying to answer and form a hypothesis prior to jumping to ML. Visualize the data to gain further insights about the dataset.

  • Linear Regression

    Make your first prediction with our favourite ML algorithm!

Tech Stack

scikit-learn Matplotlib

Lending Club is a peer-to-peer lending company, headquartered in San Francisco. Through personal, auto refinancing loans and medical financing. Lending Club offers the borrowing and investing solution right for you.

Build a machine learning model that can reliably predict if a loan will be paid off or not and does a good job of filtering out high percentage of loan defaulters.

  • Advanced Linear Regression

    Improve the predictive power of your linear regression using Regularization techniques

  • Feature Engineering

    Be creative , learn the magic of transforming your feature set for best model outcomes

  • Feature Selection

    Improve the quality of your model by selecting the relevant features, rejecting redundant and noisy features

  • Logistic Regression

    Take the basic classification challenge - Learn to predict if your wife is angry with you or not - the ML way!

  • Decision Trees

    Use this supervised learning algorithm where we first construct the tree with historical data, and then use it to predict an outcome

Tech Stack

scikit-learn scipy numpy

The MNIST database (Modified National Institute of Standards and Technology database) is a large database of handwritten digits that is commonly used for training various image processing systems. The MNIST database contains 60,000 training images and 10,000 testing images. As new machine learning techniques emerge, MNIST remains a reliable resource for researchers and learners alike.

This project challenges you to identify handwritten digits images from a dataset of tens of thousands images.

  • Challenges in Machine Learning

    Learn how to handle some of the practical challenges faced in solving a ML problem, and how to deal with them

  • Clustering/ k-means

    Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy

  • Mentored Hackathon

    Over the last weekend of the training, cohort will work on some use cases and go full mile on using machine learning for problem solving.

Tech Stack


What will I learn?

  • Build an strong problem solving intuition for Machine Learning
  • Learn how to make optimal Machine Learning models and make predictions
  • Learn Supervised and Unsupervised Machine Learning Algorithms
  • Know which Machine Learning model to choose for each type of problem
  • Participate in a mentored Hackathon and learn how to work in a team under the clock

Contact Us

(+91) 7977-01-59-52

(Mon - Fri, 10:00am - 7:00pm)

Or, request a call-back

Just fill in your details.
We shall contact you with all the details.

Download the Detailed Syllabus

Elevate your career with Remote Machine Learning Bootcamp

Instructors & Program Advisor

Mayuresh Shilotri

Mayuresh Shilotri

Indian Institute of Technology, Madras
jay Trivedi

Jay Trivedi

Data Scientist | IIM Ahmedabad | IIT Roorkee
Deepak Angrula

Deepak Angrula

Indian Institute of Technology, Bombay
Bhumil Haria

Bhumil Haria

Senior Software Engineer at Paycraft
Mehul Chopra

Mehul Chopra

Fr. Conceicao Rodrigues College of Engineering
Rohit Ghosh

Rohit Ghosh

Indian Institute of Technology, Bombay
Soumendra Dhanee

Soumendra Dhanee

Institute of Mathematics and Applications
Sidharth Ramachandran

Sidharth Ramachandran

Indian Institute of Management, Kozhikode
Paul Meinshausen

Paul Meinshausen

Data Scientist @ Montane Ventures

I don't think there's a more exciting field to be in than data science, and that's partly because to be a successful data scientist you have to always be learning. GreyAtom helps you learn more than just the foundations of analytics and machine learning. It helps you become a better learner and that's a skill that will reward you for the rest of your life.

I am an experienced Data, Product, and Software executive with demonstrated success in recruiting and managing high performance data science, engineering and product teams.

The program involved a lot of interaction not just between trainers and students, but also among students. This helped me learn better, as it mimicked my natural work environment. And with no delays or server issues and easy access, the learning process was seamless and convenient. All of this worked amazingly well for a working professional like myself. I didn’t have to lose a single hour at work.


Saiprasad Balasubramaniam
Data Science Program, GreyAtom Learner

Our Tool - Commit.Live

Commit.Live™ is our in-house cloud-based training platform. Integrated with various data science tools it brings everything under one roof to make your learning more efficient. It measures metrics like code efficiency, logic, speed etc. and gamifies your experience with its highly competitive dashboard.

Learn by Doing

Commit.Live ™ is an in-house cloud-based training platform. It measures metrics like code efficiency, logic, speed etc.

Deep Integration with GitHub

GitHub integration enables Commit.Live to auto-push learner assignments to GitHub. This builds a transparent and demonstrable portfolio for prospective employers.

Stuck? Ask Experts

Ask questions, get answers from experts, peers and professionals in Commit.Live forum. Get 24x7 tech support through various mediums like slack, whatsapp or call.

Use Real Data Scientist's Tools

Commit.Live is a custom variant of GitHub’s Atom text editor combined with a fully-configured, virtualized terminal. Learners are on the go in minutes. Its integration with Jupyter Notebook helps you to code as you learn. You don’t need to go anywhere out of Commit.Live, it brings all your learning to one place.

Personalised Dashboard

All the metrics like code efficiency, logic, number of attempts, time taken, speed etc. are measured and shown on your dashboard. Earn and lose points for assignments you solve and know where you stand with leaderboard.

Build Social Presence

Blog post is mandatory on completion of a module. It provide prospective employers with greater insight into a learner’s skills and mentality. Top posts are shared with the DataGiri (Data science community).

On just the quality of training, I would like to give them high marks. I am glad I found GreyAtom before enrolling in a conventional certificate course. I liked how they emphasized on learning through practice and developing relevant skills throughout the program. But what impressed me the most was their training platform: Commit.Live, which is a beast when it comes to design, delivery, and connectivity. I wish they make it open-source sometime soon.


Rohan Damodar
Data Science Program, GreyAtom Learner

Job Outlook

1.5 Million
Career Opportunities

for engineers capable of reaping actionable insights from data


Skilled Data Scientist by 2018

Monetary Benefits

There is a severe shortage of skilled Machine Learning Engineers in the industry with simultaneous increase in the demand of the same. Thus Machine Learning Engineers are amongst highest paid IT professionals around the world.

Top Industries

Due its agility in problem solving and making our lives easier Machine Learning has seen a sudden rise in its application over industries:-

  • Healthcare
  • E-commerce
  • BFSI
  • Travel
  • Supply chain

Job titles

  • Machine Learning Engineer
  • Machine Learning Scientist



21st May 2018

Mon, Wed, Thu • 8 PM - 11 PM IST
Enroll Now


Machine Learning has seen a sudden rise in its applications over the last few years thus increasing the demand for Machine Learning Engineers. There is no basic eligibility criterion but in our recommendation this program is best suited for:-

  • Data Science, Machine Learning Aspirants
  • Software Developers looking to make a switch
  • Fresh Graduates aspiring a career in Machine Learning
  • Experienced IT professionals looking for a mix of their expertise and Data Science.

Fee Structure


   |   1,578 learners enrolled

Enroll Now

Industry-Trusted Immersive Data Science Program Certificate

You will be certified with an industry trusted program on completion post the completion of this program. You will also get access to Commit.Live for 6 months.


These are Instructor-Led Live Streaming sessions to promote interactive learning. Also, videos of previous sessions will be available on Commit.Live
  • Minimum system requirements for the laptop to be used during the course - 64 bit system, minimum 4 GB RAM, i3 and above processor.
  • Your machine should have the amd64 architecture. If you are not using an ancient machine, you should be fine.
  • Internet Speed of 2Mbps and above is recommended.
  • You can use either the Windows/ Mac OS/ Ubuntu 16.04 while working through the program.
More details -
Videos of the sessions will be uploaded within 24hrs. They will be available on Commit.Live for 6 months, you can watch the recorded video at your convenience.
There are no prerequisites for enrollment to the Bootcamp. Whether you are an experienced professional working in the IT industry, or an aspirant planning to enter the data driven world of analytics, This Program is designed and developed to accommodate multitude professional backgrounds and allow its learners to have a successful journey in the Big Data industry.
As soon as you enroll for our Remote Machine Learning Bootcamp, all the content mentioned in the curriculum will be added to your account on Commit.Live. GreyAtom provides its learners with immediate and 6 months access to program content, which is a part of the Commit.Live
GreyAtom's Remote Machine Learning Bootcamp is a thoughtful compilation of Instructor-Led and Self Paced learning, allowing the learners to be guided by industry experts, as well as learn skills at their own pace.
All the training hours will be Instructor - led Live Streaming Sessions with Self Paced assignment solving for better & Intuitive learning.
Starts In

Remote Machine Learning Bootcamp

60 hours (Instructor led - Live Streaming) | Mon, Wed, Thu • 8 PM - 11 PM IST