With this note, I am launching a series of articles for beginners in Data Science and Machine Learning. We’ll start by exploring Pandas. While there are many articles on Pandas available online, I want to focus on practical techniques for using Pandas in Data Science projects and model building.
Dataset: We will use the German Credit Risk dataset from Kaggle.
The dataset contains information on credit data:
- Age
- Sex
- Job
- Housing
- Saving accounts
- Checking account
- Credit amount
- Duration
- Purpose
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