This article is a Python copying activity record of Chapter 9, Part 3: 'Logistic Regression Model' from the book 'Introduction to Data Analysis with Bayesian Statistical Modeling using R and Stan'.

With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book will assist data analysts to move up from ...

I recently built a Logistic Regression model from scratch using NumPy , no use of Scikit-learn for importing models to understand how different factors influence students’ academic performance when ...

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insurance-purchase-prediction 🚀 Insurance Purchase Prediction using Logistic Regression. This project applies binary classification to predict whether a customer will buy insurance based on age and ...

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