Remote Machine Learning Bootcamp
Solve data science problems using appropriate machine learning models using Python
60 hours (Instructor led - Live Streaming) | Mon, Wed, Thu • 8 PM - 11 PM IST
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
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
Compared to the outdated university programs, GreyAtom’s industry-relevant and pragmatic coursework was a pleasant surprise.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.
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.
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We shall contact you with all the details.
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.
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.
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.
Data Science Program, GreyAtom Learner
Due its agility in problem solving and making our lives easier Machine Learning has seen a sudden rise in its application over industries:-
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:-
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.