Maths behind machine learning and some implementations from scratch.

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

Logit function.

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.

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

Classical NLP and ML on ~215k patient drug reviews (UCI): text-based sentiment classification on the dataset's own test split (0.95 ROC-AUC, well above baseline) and per-condition complaint mining via weighted log-odds. Reusable package with a CLI, tests, and reproducible results.

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…

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)

Occupancy Grid Mapping using Probabilistic Sensor Models (Python)

Windows of Susceptibility Analysis for Brain Diseases

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