**R + Python Binary Logistic Regression** | Case Studies
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Updated
Mar 3, 2026 - Jupyter Notebook
**R + Python Binary Logistic Regression** | Case Studies
The dataset contains information regarding residential properties which were collected by the US Census Service, the period 2006 to 2010.
Credit Risk Classification
The objective of this project is to utilize different methodologies to develop and assess a loan risk model. The dataset used in this project is based on past lending transactions from a peer-to-peer lending services provider. The goal is to create a model that can accurately determine the creditworthiness of borrowers.
ML classifier for public transport feedback using NLP and Logistic Regression. Classifies reviews as positive or negative with visualizations.
Titanic survival prediction using Logistic Regression with data preprocessing and classification evaluation.
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