DataHour: Evaluation Measures for Binary Classification

Find the resources used in the DataHour HERE.

About the DataHour:

Classification metrics let you assess the performance of machine learning models but there are so many of them, selecting an evaluation metric that works for your problem can sometimes be really tricky.

In this DataHour, Ritika will introduce you to a bunch of common and lesser-known evaluation metrics and charts to understand how to choose the model performance metric for a binary classification problem.

She will be covering the following points in detail:

• What is the definition and intuition behind most major classification metrics
• The non-technical explanation that one can communicate to business stakeholders about metrics for binary classification.
• How to plot performance charts and calculate common metrics for binary classification
• How can we use the derived results

Prerequisites:  Enthusiasm 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:

Ritika Wadhawan

Data Scientist at Johnson & Johnson

Ritika is a Data Scientist with 9+ years of experience in working with data analytics, machine learning, data warehousing and data visualization in business intelligence. She has worked with various prestigious companies like Johnson & Johnson, UnitedHealth Group and Aon Hewitt in numerous projects across multiple domains like HealthCare, Consumer, Digital Media, Ecommerce and Finance Management.

She has also been a mentor for the Great Learning PGPD Program in Data Science and Business Analytics for over 2 years.

Connect with Ritika on linkedin