Maths behind machine learning and some implementations from scratch.

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

Standard logistic function.

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.

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

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 Regression in python and will be pretty helpful for beginners to get started.

group project - application of family-based and population-based genetic analyses to both a monogenic disease (Clouston disease) and a complex multifactorial disease (Rheumatoid Arthritis)

Windows of Susceptibility Analysis for Brain Diseases

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