Maths behind machine learning and some implementations from scratch.

"Publication bias and the canonization of false facts" published in eLife (2016)

Create an iterator which evaluates the logit function for each iterated value.

Create an iterator which evaluates the standard logistic function for each iterated value.

Logit function.

Standard logistic function.

Implement logistic regression using Python and scikit-learn to classify malignant vs. benign tumours from the Breast Cancer Wisconsin (Diagnostic) dataset

genetic data analyses for Clouston disease (monogenic disorder) and rheumatoid arthritis (complex multifactorial disease)

Logit function for a single-precision floating-point number.

Logistic Regression is one of the basic yet complex machine learning algorithm. This is often the starting point of a classification problem. This repository will help in understanding the theory/working behind logistic regression and the code will help in implementing the same in Python. Also, This is a basic implementation of Logistic Regressi…

Windows of Susceptibility Analysis for Brain Diseases