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Analysis of the likelihood of bringing back the loan with Python

Join me in this comprehensive Python statistics project where we analyze a financial dataset to uncover valuable insights. We'll start by loading and examining the data, correcting data types, and transforming our target variable to focus on loan repayment status. Then, we'll perform an in-depth correlation analysis using point biserial correlation and chi-square tests. I'll be using Google Colab to demonstrate these steps, highlighting the importance of understanding the code, even when using AI tools. This video is perfect for anyone interested in Python, data science, or financial analysis.






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