Build a Data Science Project From Scratch - Session 5
🖥 Presented by Women Who Code Data Science
👩💻 Speaker: Siddhi Purohit
Moderated by: Mrudula Rahate
Topic: Build a Data Science Project From Scratch - Session 5
During this series, we will explore the fundamental components of building a data science project and will work on a classification problem. Our experienced speakers will share their expertise and provide valuable insights on various topics, including data collection and preprocessing, exploratory data analysis, feature engineering, model selection and evaluation.
About the speaker:
Siddhi Purohit, a B.Tech student at IGDTUW, is set to become a software engineer at J.P. Morgan & Chase. With a strong IT foundation and a keen interest in machine learning, she has worked on various projects, including image generation, predictive analysis, and activity detection. Siddhi has gained hands-on experience applying ML techniques to real-world problems. She actively participates in hackathons, showcasing her competitive spirit and determination.
She is committed to empowering women in technology and serves as an Evangelist at the Women Who Code, Data Science track. Siddhi also enjoys music and cultural exploration, listening to classical pop songs and exploring different cultures.
You can also check our GitHub for the series content and a list of other resources: https://github.com/WomenWhoCode/WWCod...
For our slack channel, previous event recordings, upcoming events, GitHub repo and more check us out on https://beacons.ai/wwcodedatascience
💻 WWCode Events: https://www.womenwhocode.com/events
🔎 Job Board: https://www.womenwhocode.com/jobs
💌 Make a Donation: https://www.womenwhocode.com/donate