Immersive Machine Learning Bootcamp
Solve data science problems using appropriate machine learning models using Python
Weekend - 13 weeks (Classroom) | Sat, Sun • 9.30am - 4.30pm
Over next 3 years India will face a shortage of 2 lakh data scientists- The Hindu
75% of companies are investing in, or planning to invest in, big data in the next two years- Gartner
Data Scientists with around 5 years of experience earn 75 lakh pa compared to 5-8 lakh for engineers with same experience- Team Lease
99% of C-suite executives said analysis of data was important to their strategy next year- KPMG
The Immersive Machine Learning Bootcamp 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.
"Amazing course for Data science and Machine LearningArun Kutty
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"
Specialist Master/Architect at Deloitte Digital
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
An introduction to the basic concepts of Python. Learn how to use Python both interactively and through a script.
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 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.
You will learn how to tidy, rearrange, and restructure your data using versatile pandas DataFrames.
You will learn to build various types of plots and to customize them to make them more visually appealing and interpretable.
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.
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?
Summarize the Housing Price dataset
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.
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.
Make your first prediction with our favourite ML algorithm!
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.
Improve the predictive power of your linear regression using Regularization techniques
Be creative , learn the magic of transforming your feature set for best model outcomes
Improve the quality of your model by selecting the relevant features, rejecting redundant and noisy features
Take the basic classification challenge - Learn to predict if your wife is angry with you or not - the ML way!
Use this supervised learning algorithm where we first construct the tree with historical data, and then use it to predict an outcome
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.
Learn how to handle some of the practical challenges faced in solving a ML problem, and how to deal with them
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy
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.
Analyze the trends in data and forecast the future trends
Learn to extract insightful information from text data
Improve user experience by recommending them the right products
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
"'Best Full Stack Course 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
Immersive Data Science Engineering Bootcamp, GreyAtom data science enthusiast
Our experienced career services team will help you optimize and amplify your professional presence and help you draw more eyeballs.
Optimize your resume to match job filters for data science positions.
Learn clever hacks to improve visibility of your LinkedIn profile and get noticed by employers.
Find out how to answer critical interview questions that make or break the deal.
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.
To apply for the Immersive Machine Learning Bootcamp program, you must have
Minimum eligibility criteria may be waived for exceptionally qualified candidates.
Users will be awarded a certificate upon the completion of the program. Also, users will enjoy lifetime access to learning materials, assignments, and quizzes.