150 hrs Instructor Hours
200+ Assignments
8 Guided Projects
2 Mentored Hackathons

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Program Overview

The Machine Learning Masters Program will turn you in a Machine Learning Pro. Complete with hackathons and guided projects, this program gives you a firm grounding in Machine Learning - from basics to applications.

Program Outcomes

  • Use Python for Data Science
  • Summarize data for analysis
  • Evaluate data science problems
  • Build machine learning algorithms and models.

"Amazing course for Data science and Machine Learning
The curriculum is very well thought of and has a good flow . Some of the lecturers were truly amazing . I really liked the full stack data science engineering program and will recommend it to anyone who wants to start Thier career in data science"

Arun Kutty
Specialist Master/Architect at Deloitte Digital
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Curriculum

Refresher and Launch

Get introduced to the world of data science, set up machine and learn about versioning using Git

  • Introduction to Data Science
  • Problem Classification
  • Commit.Live Setup
  • Tech Basics

Python for Data Science

Build your programming skills to analyse real world data using python and associated libraries.

  • Basic Python Programming constructs
  • Functions and OOP in Python, NumPy basics
  • Learn Pandas basic concepts, work with Series
  • Work with Pandas DataFrame (Advanced)
  • Working with Visualizations

Tech Stack

git github Commit.live Python

Introduction to Machine Learning & ML Workflow

Master the art of collecting, extracting, querying, cleaning, and aggregating data for analysis

  • Introduction to Machine Learning
  • Descriptive Statistics
  • Inferential Statistics
  • Exploratory Data Analysis
  • Machine Learning Workflow
  • Linear Regression

Regression

Develop a deep understanding on real world applications of Supervised ML algorithms.

  • Advanced Linear Regression
  • Feature Engineering
  • Feature Selection
  • Logistic Regression

Classification

Solve real world data science problems on industry data sets using appropriate Supervised ML models and algorithms.

  • Decision Trees
  • Ensemble Techniques
  • Random Forest

Clustering, NLP & more

Develop a deep understanding on real world applications of Unsupervised ML algorithms.

  • Time Series
  • Challenges in Machine Learning
  • Clustering/ k-means
  • Natural Language Processing
  • Deeper into NLP
  • Recommender System

Tech Stack

Matplotlib scipy numpy scikit-learn nltk

Road to Career & Projects

Capstone projects will enable you to apply what you have learned during the program. You would be analyzing a business case study and recommend a solution for the same. Some examples of capstone projects are

  • Outlier Detection - Haptik caters to limited number of services. Users tend to ask queries, out of scope of Haptik’s reach. To identify these queries as outliers and handling those by gentle denial is the best practice.
  • Prepare a model which predicts given a user, when will he do his next balance recharge

Industry Partners

yatra Haptik CCAvenue CleverTap mmsind flytxt The Data Team HDFC Life Mahindra

Download the Program Brochure

GreyAtom provides Machine Learning Masters Program based on classroom module where you can accelerate your Career in Data Science and build expertise on Machine learning.

Instructors, Mentors & Career Coach

Mayuresh Shilotri

Mayuresh Shilotri

Indian Institute of Technology, Madras
jay Trivedi

Jay Trivedi

Data Scientist | IIM Ahemdabad | IIT Roorkee
Deepak Angrula

Deepak Angrula

Indian Institute of Technology, Bombay
Bhumil Haria

Bhumil Haria

Senior Software Engineer at Paycraft
Sudhanshu Saxena

Sudhanshu Saxena

Big Data - Hadoop Trainer, Data Scientist, Big Data Speaker
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
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Divyesh Shah

Divyesh Shah

Engineering Manager - Marketplace Management at Uber
Paul Meinshausen

Paul Meinshausen

Data Scientist @ Montane Ventures
Shweta Doshi

Shweta Doshi

Co-Founder @ GreyAtom - Head - Strategic Partnerships

“We also bring in a lot of Hiring Challenges and conduct Hackathons from our Industry partners to the classroom”

Our prime objective to provide our students with hands on experience in solving data science problems. For this we need a set of world class instructors having a perfect blend of both industry as well as academic experience. And hence we have built a pool of instructors varying from academicians from IIT to Data Scientists at companies like Haptik, Uber etc. We also bring in a lot of Hiring Challenges and Hackathons from our Industry partners to the classroom which develop various of skill set in our students.

Apart from that we have a dedicated team for Learning and Development which will help you with Job search and career opportunities even after the program. Our instructional staff conducts mock interviews, training exercises and role-play sessions designed to help you tackle the job interview.

"'Great learning experience' The real office simulation, daily standups, real tools and workflows that expert programmers employ excited me a lot. We were asked to build and deploy real products in our Capstone project led by Mentors from the industry. Not only that, we collaborated with other students on projects - simulating real-time teamwork. Moreover they conduct meetups, events webinars to bring us up to speed on relevant issues and building our professional network with other data practitioners who not only expanded knowledge but also gave us the chance to look beyond forcing us to be better and constantly motivated us to get us through the hard phase of learning by doing real work."

Nikhil Prasad
Winner of Startupbootcamp Fintech’s Hackathon (1st Prize) Mumbai
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Industry Partners

"'Best Program for Data Science' The instructors were amazing and the active involvement of founders was helpful. What I loved the most were guest speaker sessions. We got a great insight into what the industry needs which helped us learn the right skills."

Rishabh Mishra
Machine Learning Masters Program, GreyAtom data science enthusiast
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Career Services

Our experienced career services team will help you optimize and amplify your professional presence and help you draw more eyeballs.

Resume Building

Optimize your resume to match job filters for data science positions.

LinkedIn Presence

Learn clever hacks to improve visibility of your LinkedIn profile and get noticed by employers.

Interview Videos

Find out how to answer critical interview questions that make or break the deal.

Student Life

6 hours in-Campus

40% - Intructor led session with hand on coding on real datasets.
60% - Coding exercises.

Placement Assistance

Career Services

Learn some of the clever hacks to bump your resume and social profile to the top of the pile.

Recreation

Enjoy tea or coffee, jenga, and foosball!

Session with Industry Experts

Join for a talk by industry speakers in the evening.

Our Tool - Commit.Live

Commit.Live™ is our in-house, cloud-based training platform. Integrated with GitHub and Medium blogs, it brings the best of all worlds at the click of a button. With on-board performance analytics and gamification, Commit.Live offers a seamless, immersive learning experience.


Learn by Doing

Learn data science by doing actual work on industry data sets. Commit.Live combines Immersive Learning with real data sets to deliver optimum learning outcomes.

Integration with GitHub

Commit.Live allows users to auto-post their work on GitHub. Over time, it builds a portfolio of demonstrable skills that can be leveraged during job applications.

Assistance

Users can collaborate with peers on Commit.Live to troubleshoot problems. This leverages one of the key tenets of Immersive Learning - peer-to-peer collaboration.

Multifunctionality

Commit.Live is a fully-configured, virtualized terminal. Its integration with Jupyter Notebook allows you to code as you learn.

Real time dashboard

Commit.Live’s embedded analytics reflects the most current information about the user’s performance and assignment scores.

Build storytelling skills

A data scientist should be able to weave a compelling narrative around his work product. Commit.Live’s gamified blogging experience incentivizes users to blog on esteemed portals like Medium.com.

Admission

Batch

7th July

Sat, Sun • 9.30am-4.30pm
Mumbai
Start Application

Eligibility

To apply for the Machine Learning Masters Program, you must have

  • A Bachelor’s / Master’s degree (B.E., BCA, MCA, B.Sc, M.Sc, Ph.D.) in a discipline with a strong quantitative component like Mathematics / Physics / Statistics / Economics
  • Applicants with coding experience will be preferred

Minimum eligibility criteria may be waived for exceptionally qualified candidates.

Admission & Scholarship

How to Apply?

Selection Process

Common Process

  • Upon Review (ensuring your fitment to the Program), you will receive an invitation for personal interview.
  • Personal Interview with a panel comprising of Data Scientist and Full Stack Engineers will assess the candidate.
  • Once basic competence in engineering discipline is assessed, learnability, attitude are tested.

Fitment Incentive

Fee Structure

Program Fee

₹94,500

+ taxes
  • Scholarship available for limited students
  • Flexible EMI options
  • Discounts on full payment
  • Referral Bonus of upto INR 3000 T&C Apply

GreyAtom Fitment Incentive

A Skills-based Scholarship

Apply for Fitment Incentive

Program Certificate

Users will be awarded a certificate upon the completion of the program.

Starts In

Machine Learning Masters Program

6 Months (18 weekends - Classroom) | Sat, Sun • 9.30am-4.30pm