Comparative analysis of Regression Algorithms: Multiple, Polynomial & Ridge

Hello DataScience Enthusiasts,

(WiMLDS) Women in Machine Learning & Data Science, Hyderabad chapter will be conducting its next virtual meet-up on 12th June,2021.
We are delighted to have our very own Ms. Asmath Ruhi, an active member of WiMLDS Hyderabad team.

Ruhi is an IBM certified Data Scientist and MBA graduate, with a strong statistical and research background. Her research on the Indian Stock Market is published in the International Journal of Management, Technology & Engineering (IJMTE). She enjoys technical writing, and building creative Data science projects utilizing open data.

Regression is a versatile statistical technique, which lays the foundation for a majority of ML & Deep learning algorithms.
Having an understanding of the statistics, maths & working behind different types of Regression, will help you to develop the intuition for many ML algorithms.
In this session, we’ll learn to create better performing Regression models, by leveraging Polynomial and Ridge Regression, in a hands on practical example.

Looking forward for your energetic participation.

Topic : A comparative analysis of popular Regression Algorithms: Multiple, Polynomial & Ridge Regression
📅 : 12th June,2021
⏱️ : 11.30 AM IST
💻 : Online
🔗 : https://meet.jit.si/WiMLDS-Hyd-jun