Text Classification Algorithms: A Survey

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

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

LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.

Machine Learning for High Energy Physics.

ML-algorithms from scratch using Python. Classic Machine Learning course.

No description provided.

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).

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

Deep Boosting for Image Denoising in ECCV 2018 and its Real-world Extension in IEEE Transactions on Pattern Analysis and Machine Intelligence

Run XGBoost model and make predictions in Node.js

In depth machine learning resources

Programmable Decision Tree Framework

Catboost Go Wrapper

Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).

Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).

Play around with NGBoost and compare with LightGBM and XGBoost

Deepboost R-package for submission

{PySpark, R, Python}: Several Data Science projects

MILBoost and other boosting algorithms, compatible with scikit-learn

Sklearn implement of multiple ensemble learning methods, including bagging, adaboost, iterative bagging and multiboosting

Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests for classification of Malaria Cells

The repository for CSE 5523 Course Project.

4 Boosting Algorithms You Should Know – GBM, XGBoost, LightGBM & CatBoost

MLJ.jl interface for JLBoost.jl

Julia Decision Tree Algorithms for Regression

This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.

grur: an R package tailored for RADseq data imputations

ML/DL algorithm