MLCC Study Jam [Part 1]

About this event

[NOTE] Please make a note that this will be events of two dedicated Saturdays where you have to be present in both the event of the Study Jam. If you feel you will not be able to make it for the event kindly DO NOT RSVPED yourself.

Including RSVP, Registration is also mandatory. Registered participants will be welcomed only. So Kindly Register yourself to attend this event.
Registration Link:

It's no more a secret that Artificial intelligence (AI) is transforming the way we live and work, like never before, revolutionizing the world around us. India, home to over a million developers are openly embracing the power of AI across different sectors. Contributing to this larger idea of building an “AI empowered India”, Google has launched Machine Learning (ML) Study Jam Series to enable a platform to learn for ML enthusiasts.

In the pre-session of ML Study Jam at GDGAhmedabad, you will get the basics of Machine Learning, Regression, Classification, it's real-life applications and frameworks to be used. Apart from it, you will explore the hands-on session of Deep Learning which is the current trending sub-field of ML.


Do join with your fully charged laptops with battery backup, Internet and a can-do attitude!

We highly recommend you to go through and complete following materials to understand Machine Learning concepts well.

* Mastery of intro-level algebra:
- comfortable with variables and coefficients
- linear equations
- graphs of functions
- histograms
(Familiarity with more advanced math concepts such as logarithms and derivatives is helpful, but not required.)

* Proficiency in programming basics, and some experience coding in Python:
You should feel comfortable reading and writing Python code ( that contains basic programming constructs, such as function definitions/invocations, lists and dicts, loops, and conditional expressions.

Here is link to help you prepare above topics:
(Following Key Concepts and Tools from Math to Basic Python Programing)

1) Kashyap Raval
Kashyap is Python Team Leader at Let'sNurture working with AI and IoT. He is passionate about Machine Learning/ Deep Learning and NLP also. Apart from his day job, He serves as a Co-Organizer at pydata Ahmedabad and Codemeet groups. He has been working with AI and Chatbots since long time. He has also been selected as Student Ambassador of

2) Charmi Chokshi
Working with data and predicting future based on it is Charmi's passion and it has always made her feel like a Magician! She is an AI and Data enthusiast who is always willing to learn from new challenges and love to share the experiences with others. She has facilitated the first pilot of Machine Learning Crash Course in India back in September 2017. She has worked as Research Trainee at Indian Space Research Organisation in summer 2018 and currently, pursuing her final year of ICT Engineering from Ahmedabad University.