Logistic Regression


the logistic model is used to model the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. This can be extended to model several classes of events such as determining whether an image contains a cat, dog, lion, etc.

Getting started

Logistic Regression
An overview of the concept and math behind logistic regression.
logistic-regression regression tutorial article
Logistic Regression - Machine Learning Glossary
Brief visual explanations of logistic regression with diagrams, code examples and links to resources for learning more.
logistic-regression regression tutorial article
Scikit-learn
Examples for all the different utilities within scikit-learn.
scikit-learn naive-bayes linear-regression logistic-regression

Tutorials

Machine Learning Tutorials
Creating organized tutorials for some of the machine learning concepts.
neural-networks convolutional-neural-networks logistic-regression linear-regression
Diabetes Detection Web app StreamLit
Pima Indian Diabetes Detection with Machine Learning Deep Learning and a web application with Streamlit.io and deployed in Heroku.
data-science healthcare machine-learning support-vector-machines
Why Sigmoid: A Probabilistic Perspective
A comprehensive set of explanations for why the logistic sigmoid function is chosen for logistic regression from a probabilistic perspective.
logistic-regression statistics machine-learning activation
Logistic Regression - Machine Learning Glossary
Brief visual explanations of logistic regression with diagrams, code examples and links to resources for learning more.
logistic-regression regression tutorial article

Libraries

Scikit-learn
Examples for all the different utilities within scikit-learn.
scikit-learn naive-bayes linear-regression logistic-regression

Research

Customer Churn Prediction Case Study
Customer Churn Prediction done by using techniques of Machine Learning and Predictive Modelling .
logistic-regression customer-churn predictive-modelling machine-learning
Poem Text-to-Speech Generation from Still-Image
A machine-learning application to generate a poem and associated audio file from a still-image.
machine-learning natural-language-processing natural-language-understanding principal-component-analysis
Lead Scoring Model for Hospitality industry
Build a propensity model to identify the leads with higher chances to sales.
lead-scoring r hospitality binaryclassification

Recent

Text Classification
Re-implemented an article (link is given below) which was on Text classification with CNN, beside this I tried out some ML classification algorithm.
text-classification natural-language-processing convolutional-neural-networks logistic-regression
Logistic Regression on MNIST handwritten dataset
Applying Logistic regression techniques on MNIST handwritten dataset to create images of digits
logistic-regression regression code
Customer Churn Prediction Case Study
Customer Churn Prediction done by using techniques of Machine Learning and Predictive Modelling .
logistic-regression customer-churn predictive-modelling machine-learning
Poem Text-to-Speech Generation from Still-Image
A machine-learning application to generate a poem and associated audio file from a still-image.
machine-learning natural-language-processing natural-language-understanding principal-component-analysis
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