Zero to One - Raw Dataset to Your First Product ML Model in Python | Data Science Masterclass

Abhishek Vijayvargia

Data Scientist | Career Mentor | Content Creator | IIT Kanpur Graduate

Abhishek Vijayvargia is a Senior Data Scientist at Microsoft and has 8 years of experience in the industry. He has previously held the role of a Data Scientist at organizations such as FogHorn Systems Inc, Fresh Gravity Inc, and Informatica. Abhishek is also a career mentor, content creator, and speaker. He speaks extensively about Data Science, Artificial Intelligence, and Machine Learning.

What's in it for you?

Learn how to build your first Machine Learning model with a real-world data set!

In business, customer data available to an organization is massive. How does one make sense of this data to improve the customer base and reduce customer churn?

Enter Machine Learning!

In this session, explore raw data sets with Abhishek Vijayvargia, modify them, and make a Machine Learning model that can solve critical business problems.

Key takeaways:

Identify business problems that can be solved with data
Find the right set of features
Form a machine learning problem
Build an ML model
Generate actionable insights

The Data Science Masterclass is for Data Science aspirants, Data Science enthusiasts, students, and professionals who want to switch to Data Science.

The registration process is easy! On the Data Science Masterclass page, click on the Pay Now Button. Fill in the name, email, contact information, and year of graduation in the registration form and submit.

Yes, there is a minimal registration fee, which is Rs.99 only.

The Data Science Masterclass will be conducted on GoToWebinar. After you submit the registration form, our team will share the link to attend the class.

If you love the free session and would like to enter the world of Data Science, join our job-oriented Data Science Bootcamp. The outcome is a job in Data Science; this is facilitated by OdinSchool’s dedicated placement support. We partner with 500+ companies that hire our graduates.