Do you want an internship in Machine Learning?
Need an internship/summer training? Looking to start a career in Data Science/Machine Learning?
This AICTE endorsed Machine Learning Internship is just for you!
Endorsed by
Software & Training Partner
Need an internship/summer training? Looking to start a career in Data Science/Machine Learning?
This AICTE endorsed Machine Learning Internship is just for you!
Here are the reasons why this machine learning internship can bring about a total transformation in your career
This AICTE approved internship is meant for students who already know Python and the Machine Learning fundamentals and are looking only for a industry project to work on.
Complete the internship and get certified from us along with AICTE and Intel. Along with the physical certificate of completion, get a machine learning crash course.
Along with your internship, get Live Video sessions with faculty from IITs and IIMs with over 6 weeks and 35 hours of sessions.
Along with your internship get a quick 6 hour crash course to get you up to speed on machine learning and python to do the internship.
There is a great demand for machine learning professionals both in India and across the world. As per news reports, 50,000+ data science jobs are vacant due to shortage of talent.
As a result, you end up with an extremely large population of uncertified professionals competing for the high-paying machine learning jobs and Machine Learning Projects.
This Machine Learning internship will ensure that you get a leg up on the competition in the job market. Here are the reasons this machine learning internship can bring about a total transformation in your career.
You will have to do programming in Python and use machine learning libraries from Scikit-Learn (e.g., Pandas, Matplotlib, Seaborn etc). You will implement machine learning algorithms for Regression and Classification.
This Machine Learning Internship is approved by the All India Council for Technical Education (AICTE). It endorses this ML internship for being "a great way for any student to start a Data Science career" and has recommended it to all the AICTE approved colleges and institutions.
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Eligibility
The Machine Learning Internship is meant for students who have a background, or are keen to learn, a programming language and solve business problems using AI/ML. It is ideal for students of Engineering (any discipline), BCA, MCA. It can also be pursued by BSc., BCom., BA, BBA and MBA. It can be done in any year of graduation.
Application Process
Applying for the machine learning internship is a breeze. Just follow the simple steps give below to get started on your machine learning journey.
This internship is endorsed and co-certified by AICTE for all technical colleges in India. Intel® is our software and hardware partner for all of our data science programs.
Here’s a demo of the learning resources that you would get during these 8 weeks. Register now for this demo and get access to the demo dashboard.
Access the DemoThis is an online Machine Learning internship and starts June 1, 2019 and can be completed in 8 weeks, or even earlier by students who can move at a faster pace. Since it is an Online internship, it can be started on any later date. It should ideally be done during vacations but we will accept submissions till 15 August.
The modules covered in the Machine Learning Internship can be thought of as Machine Learning Projects with a set objective that the participant has to complete every week. These Machine Learning projects require the participant to study on the relevant topics and practically apply it to solve each problem. Solving these problems will allow the participant to complete the module and move on to the next module and Machine Learning Project.
1. Plot the daily volumes of a given stock as well and compare the percentage stem plot to it. Document your analysis of the relationship b/t volume and daily percentage change.
2. Analyse the correlation between daily returns of any 5 stocks of your liking. This is extremely useful for a fund manager to design a diversified portfolio. To know more, check out these resources on correlation and diversification.
3. Plot the appropriate trade calls for the given stock data. Use 21 day and 34 day moving averages to get the appropriate predictions for the calls.
Have questions? Our data science team is more than happy to take them:-
Ayush Joshi - ayush.joshi@careerlauncher.com
Mythreya Lingala - mythreya.lingala@careerlauncher.com
