https://github.com/kk7nc/text_classification

Text Classification Algorithms: A Survey

boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing

Last synced: 14 May 2025

https://github.com/kk7nc/Text_Classification

Text Classification Algorithms: A Survey

boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing

Last synced: 07 Apr 2025

https://github.com/ptyadana/data-science-and-machine-learning-projects-dojo

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

boosting-algorithms data-analysis data-science data-visualization deep-learning keras machine-learning machine-learning-algorithms natural-language-processing pandas probability-statistics scikit-learn seaborn tensorflow

Last synced: 05 Apr 2025

https://github.com/arogozhnikov/hep_ml

Machine Learning for High Energy Physics.

boosting-algorithms high-energy-physics machine-learning neural-networks python reweighting-algorithms scikit-learn splot

Last synced: 15 May 2025

https://github.com/boost-R/gamboostLSS

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-algorithms cran gamboostlss gamlss machine-learning r-language r-package variable-selection

Last synced: 04 Feb 2026

https://github.com/kyosek/ngboost-experiments

Play around with NGBoost and compare with LightGBM and XGBoost

boosting-algorithms house-price-prediction lightgbm machine-learning ngboost

Last synced: 15 May 2025

https://github.com/dmarcous/cran_deepboost

Deepboost R-package for submission

boosting-algorithms decision-trees deep-boosting r

Last synced: 22 Oct 2025

https://github.com/sardhendu/data-science-projects

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

autoencoder bayesian-methods boosting-algorithms classification credit-card-fraud deep-neural-networks linear-regression logistic-regression machine-learning-algorithms pyspark python-3 random-forest regression svm-classifier tensorflow

Last synced: 12 Apr 2025

https://github.com/hbldh/skboost

MILBoost and other boosting algorithms, compatible with scikit-learn

boosting boosting-algorithms machine-learning scikit-learn

Last synced: 14 Apr 2025

https://github.com/moindalvs/gradient_boosting_algorithms_from_scratch

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

boosting-algorithms catboost-algorithm data-science decision-trees gradient-boosting lightbgm random-forest xgboost-algorithm

Last synced: 30 Oct 2025

https://github.com/kafisatz/decisiontrees.jl

Julia Decision Tree Algorithms for Regression

actuarial boosting-algorithms decision-trees decisiontree decisiontrees ensemble-machine-learning julia julialang regression

Last synced: 29 Apr 2025

https://github.com/chaitanyac22/udacity-aws-mle-nd-project1-bike-sharing-demand-with-autogluon

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

amazon-web-services autogluon automl boosting-algorithms data-science deep-learning ensemble-methods exploratory-data-analysis feature-engineering hyperparameter-optimization jupyter-notebook machine-learning machine-learning-algorithms model-building model-evaluation python stacking

Last synced: 13 Apr 2025

https://github.com/haroldeustaquio/machine-learning-projects

This repository contains Machine Learning mini-projects focused on different predictive models, from linear regression to more advanced techniques. It also includes more comprehensive end-to-end projects covering the entire ML workflow, from data preparation to model deployment.

adaptive-boosting-algorithm boosting-algorithms boostrap-aggregating end-to-end machine-learning python ramdom-forest regression-models tree-classification xgboost-algorithm xgboost-classifier xgboost-models xgboost-regression

Last synced: 14 May 2025

https://github.com/ekagra-ranjan/Analyze-This-18

(National Rank: 22) Analyze This' 18, American Express Data Science Competition

american-express americanexpress analyze-this boosting-algorithms corelib credit-card cross-validation data-science data-science-challenges data-science-competition ensemble feature-engineering feature-extraction feature-selection gradient-boosting-machine random-forest sklearn svm xgb-classifier xgboost

Last synced: 08 May 2025

https://github.com/saeedanbarimoghadam/breast-cancer-detection-using-machine-learning-algorithms

boosting-algorithms datamining decision-tree-classifier decision-trees knn-classification machine-learning machine-learning-algorithms random-forest random-forest-classifier svm-model

Last synced: 07 Jan 2026

https://github.com/sylvaincom/high-dimensional-statistics

[Python, R] My homeworks for the Statistics for high-dimensional data course of my MSc @ Mines Nancy

boosting boosting-algorithms lasso-regression ridge-regression

Last synced: 25 Mar 2025

https://github.com/dhruvsrikanth/boosting-theory

A collection of papers produced on the theory of boosting as applied to binary classification. Further extensions to the multi-class classification problem and necessary and sufficient conditions to ensure boostability i.e. weak learning conditions. Finally, an overview over boosting algorithms and models employed in industry.

adaboost binary-classification boosting boosting-algorithms gradient-boosting machine-learning multi-class-classification research-paper weak-learning weak-learning-conditions xgboost

Last synced: 17 Feb 2026

https://github.com/akai01/micecon

Microeconometric analysis of social housing in Austria.

automl bayesian-optimization boosting-algorithms microeconometrics r

Last synced: 12 Oct 2025

https://github.com/harsha-vardhan-tangudu/machine-learning-intrusion-detection-system

ML project based on intrusion detection system trained dataset

bagging-ensemble boosting-algorithms decision-trees dimensionality-reduction ensemble-model feature-engineering feature-selection ids intrusion-detection-system ipynb-jupyter-notebook machine-learning ml ml-project random-forest supervised-learning unsupervised-learning xgboost-algorithm

Last synced: 04 Mar 2026

https://github.com/somjit101/netflix-movie-recommendation

A case study of the Netflix Prize solution where, given anonymous data of users and the ratings given to movies, the objective to provide recommendations to users for movies which they would like, based on their past activity and taste.

boosting-algorithms implicit-feedback machine-learning matrix-factorization movie-recommendation netflix netflix-prize recommendation-engine recommendation-system regression-models surprise-library svd svd-factorization svd-matrix-factorisation svdpp xgboost xgboost-regression

Last synced: 27 Jul 2025

https://github.com/macabdul9/flipr-challenge

flipr hackathon challenge

boosting-algorithms covid-19 deep-learning forecasting lstm-neural-networks machine-learning neural-network regression-models time-series-analysis

Last synced: 05 Apr 2025

https://github.com/emanueleiacca/analysis-on-churn-banking-modeling-dataset

Final task for the Statistical Consulting class

boosting-algorithms data-science machine-learning optuna tuning-parameters

Last synced: 17 Jan 2026

https://github.com/sofiakhutsieva/ml_outflow_of_clients_from_a_telecommunication_company

Прогнозирование оттока пользователей (Проект в skillbox), 2021 г.

bagging-algorithms boosting-algorithms classical-ml-algorithms classification-model ml sklearn stacking-algorithms xgboost

Last synced: 14 May 2026

https://github.com/ammaar-alam/cos-226

Containing all the coding projects and assignments I've completed in COS 226 @ Princeton (Data Structures & Algorithms)

boosting-algorithms content-aware-resize data-structures-and-algorithms fraud-detection kd-trees machine-learning minimum-spanning-trees percolation randomed-queue weak-learners wordnet

Last synced: 15 May 2026

https://github.com/snigdho8869/diabetes-prediction-using-ml-dl

This repository contains machine learning and deep learning models for predicting the onset of diabetes in patients. The models used include Logistic Regression, SVM, Random Forest, Ensemble Learning, Adaptive Boosting, and Deep Neural Networks. The performance of the models is compared, and the best performing model is identified.

adaboost boosting-algorithms deep-neural-networks dl ensemble-classifier ensemble-learning ensemble-machine-learning gradient-boosting keras-tensorflow logistic-regression machine-learning ml random-forest random-forest-classifier support-vector-machine svm voting-classifier

Last synced: 18 Jun 2025

https://github.com/jelhamm/model-ensembles-boosting-in-machine-learning

"This repository contains implementations of Boosting method, popular techniques in Model Ensembles, aimed at improving predictive performance by combining multiple models. by using titanic database."

boosting boosting-algorithms boosting-ensemble boosting-machine data-analysis database-analysis datamining datamining-algorithms jupyter-notebook machine-learning machine-learning-models machine-learning-projects matplotlib-python model-ensemble module numpy-library pandas-library python sklearn-library

Last synced: 16 May 2026

https://github.com/abdul-aa/shark-tank-pitches

Predictive Modeling and Clustering Insights for Success on Shark Tank

bagging-ensemble boosting-algorithms cluster-analysis clustering data-visualization ggplot2 kmeans-clustering r-programming

Last synced: 14 Mar 2025

https://github.com/sadiq18/predictpodcastlisteningtime

Kaggle contest to predict listening time of a podcast episode.

bagging-ensemble boosting-algorithms feature-engineering kaggle machine-learning regression-models xgboost

Last synced: 18 Apr 2026

https://github.com/priyanshu501/data_science_practice

Practice Assignments for Data Science Coursework

association-rules boosting-algorithms clustering decision-tree exploratory-data-analysis hypothesis-testing knn logistic-regression multiple-linear-regression neural-networks nlp principal-component-analysis python random-forest recommendation-system statistics support-vector-machines timeseries-analysis

Last synced: 17 May 2026

https://github.com/alexzajac/altegrad_kaggle_2021

Predicting the academic success using multi-faceted data and limited supervision.

bert boosting-algorithms graph nlp pytorch

Last synced: 01 May 2026

https://github.com/yaswanth1702/sentiment-analysis-using-text-mining-and-natural-language-processing-

boosting-algorithms exploratory-data-analysis machine-learning tokenization vectorization

Last synced: 13 Jul 2025

https://github.com/Adam-maz/Various_Data_Sciences_Assays

Here I am presenting machine learning notebooks, which were used during kaggle competitions: "Titanic - Machine Learning from Disaster", Spaceship Titanic" and "House Prices - Advanced Regression Techniques".

ai boosting-algorithms classification data-science ipython-notebook kaggle-competition machine-learning regression

Last synced: 23 Jun 2026

https://github.com/86lekwenshiung/binary-classification-on-west-nile-virus

Binary Classification on West Nile Virus Dataset.

boosting-algorithms geopy tree-algorithms

Last synced: 31 May 2026

https://github.com/alanjamlu34/analisis-nobeyesdad-dataset

Analisis KNN, Random Forest dan Boosting Algorithm.

boosting-algorithms knn-classification machine-learning random-forest-classifier

Last synced: 04 May 2026

https://github.com/juwono136/predictive-analytics-machine-learning-model

Predictive Analysis using a Comparison of Three Machine Learning Algorithms (KNN, Random Forest, and Boosting Algorithm) to Predict Home Selling Prices.

boosting-algorithms knn-regression machine-learning predictive-analytics random-forest-regression sklearn-library

Last synced: 26 Mar 2025

https://github.com/kmohamedalie/letter_recognition

Alphabet recognition

boosting-algorithms computer-science gpu ibm letter-recognition machine-learning random-forest snapml uci-machine-learning

Last synced: 15 May 2026