Online session

Data Forge – Day 2

Delivered a session covering the essential stages of preparing data for machine learning, including exploratory data analysis, preprocessing, and feature engineering.

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Data Forge – Day 2 poster
Organizer
Data Science IG, μLearn LBSITW
Audience
40+ Participants
My role
Speaker

Topics covered

  • Exploratory Data Analysis (EDA)
  • Data Cleaning
  • Data Preprocessing
  • Feature Engineering
  • Preparing ML-ready Datasets

Skills

Data ScienceEDAFeature EngineeringMachine Learning
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