06 March, 2021

About the Webinar

The Webinar on let’s explore the Data before Modelling was organized by IT department as a part of Alumni Webinar Series, on 6th March, 2021 from 1 p.m. onwards. The Expert of the Webinar, Ms. Krupa Galiya is a hard-working and passionate machine learning Engineer and presently contributing her intellect to the industry in amazing ways. More than 115 students from various semesters were inspired to join this discussion of exploring data, led by her.

Objectives of the Webinar

• To understand the importance of Data Cleaning before training a model for prediction.
•  To explore the various techniques of data visualization and performing Exploratory Data Analysis (EDA).

Content/Discussion Points of the Webinar

• Introduction to Data Cleaning
• Data Visualization using Statistical graphs
• Creating a pandas Profiling Report to gather insights on data
• Types of Data – Numerical, Categorical
• Encoding Categorical Data – Label Encoding & One-hot Encoding
• Data Imbalance Problem & Over-Sampling to overcome the same
• Over-fitting and Cross-validation

Outcomes of the Webinar

• Students learned a better approach to explore data using concepts of visualization and profiling.
• Students received a better and deep understanding to effectively perform EDA. 
• Students were encouraged to explore datasets and achieve cleaner data for analysis.
• All the participants claimed the session to be highly informative and insightful.

Statements/Quotes by Expert

• “Training a model is just Math and 4 lines of code, what’s more crucial is Exploring and Cleaning Data” – Ms. Krupa Galiya