SML-Malaria-Detection

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Machine Learning for High Energy Physics.

Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).

Building Decision Trees From Scratch In Python

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

The Tidymodels Extension for Time Series Boosting Models

Run XGBoost model and make predictions in Node.js

Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.

Programmable Decision Tree Framework