DataHour: Classification ML Model from Scratch

DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

Understanding the logic behind the algorithms for building machine learning models is not sufficient alone for  building an efficient ML model.  An efficient ML model needs proper preparation and classification of the data which is to be fed into a particular algorithm. 

In this DataHour, Kartik will guide you about the core requirement of being a data scientist/ ML expert. He will further practically demonstrate how to build Classification ML models from scratch. 

Prerequisites: Understanding of Python programming, basics of data analysis and machine learning and curiosity of learning Data Science.

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Speaker:

Kartik Garg

Data scientist at American Express

Kartik is an Engineer by profession and mentor by passion as he is currently working as a Data scientist with American Express and Data Analytics mentor with Udacity.He has experience of working with both Services and Product Based Organizations where he created & delivered E2E Data Science & ML based solutions (product development) in the Commercial services & Logistics domain to increase the efficiency, accuracy and utility of data processing. .  

Connect with Kartik at: https://www.linkedin.com/in/kgarg027/