DataHour: Feature Engineering and benefits of EDA

DataHour: Feature Engineering and benefits of EDA

10 Mar 202315:03pm - 10 Mar 202316:03pm

DataHour: Feature Engineering and benefits of EDA

About the Event

Feature engineering is a critical aspect of any data modelling project, and it plays a crucial role in determining the accuracy and effectiveness of the resulting model. The process involves extracting useful features from raw data that can help in better understanding the underlying patterns and relationships.

In this DataHour, we will explore various feature engineering techniques that should be used before and during the modelling stage to mine more relevant features from the data. We will discuss methods for handling missing data, scaling and normalization, and feature selection. Additionally, we will delve into the role of data distribution in model performance, including the impact of skewed distributions and outliers.


Prerequisites: 
The zeal for learning new technologies, and good to have a basic knowledge of python.

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Who is this DataHour for?

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About the Speaker

Nitin Khanna

Nitin Khanna

Data Scientist at Ericsson Global Services

Meet Nitin Khanna, an experienced Data Scientist currently working at Ericsson Global Services. With a wealth of experience spanning over 7 years, Nitin has worked in various domains such as banking, retail, and telecom. As a seasoned professional in the field of Data Science, he possesses a deep understanding of the latest tools and techniques used to extract valuable insights from data. His analytical skills and ability to translate complex data into actionable insights have made him a valuable asset to the organizations he has worked for.

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