Only if you complete all three days, you will receive a certificate
Agenda:
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Discussion of your homework - Please bring laptop with R/Python installed with you
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Data Science Cycle - illustrated an example
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Boosting
We’ll walk through the Data Science Lifecycle using illustrative examples:
- Business Understanding – Defining the problem and setting goals
- Data Understanding – Exploration and analysis
- Data Preparation – Data cleaning and feature engineering
- Modelling – Selecting and training ML models (building on Lecture 1)
- Evaluation – Quality control and model performance
- Deployment – Making results accessible and usable
