Projects in Awesome Lists tagged with gradient-boosting-classifier
A curated list of projects in awesome lists tagged with gradient-boosting-classifier .
https://github.com/zygmuntz/hyperband
Tuning hyperparams fast with Hyperband
gradient-boosting gradient-boosting-classifier hyperparameter-optimization hyperparameter-tuning hyperparameters machine-learning
Last synced: 05 Apr 2025
https://github.com/asafschers/scoruby
Ruby Scoring API for PMML
classification decision-tree gbm gradient-boosted-models gradient-boosting-classifier machine-learning naive-bayes pmml random-forest ruby ruby-gem rubyml
Last synced: 09 Apr 2025
https://github.com/kapilsinghnegi/fake-news-detection
This project detects whether a news is fake or not using machine learning.
decision-tree-classifier fakenewsdetection gradient-boosting-classifier logistic-regression machine-learning python random-forest-classifier scikit-learn sklearn
Last synced: 06 Apr 2025
https://github.com/kwokhing/yandexcatboost-python-demo
Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset
catboost data-analysis data-preprocessing data-science feature-selection gradient-boosting gradient-boosting-classifier one-hot-encode pandas pearson-correlation python python27 seaborn variance-analysis visualization yandex-catboost
Last synced: 09 Apr 2025
https://github.com/snigdho8869/multiclass-text-classification
Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.
adaboost-classifier bert-fine-tuning cnn-model deep-learning ensemble-learning flask flask-application gradient-boosting-classifier gru keras-tensorflow logistic-regression machine-learning natural-language-processing neural-network nlp random-forest-classifier rnn-lstm support-vector-machines text-classification xlnet-fine-tuning
Last synced: 13 Jun 2025
https://github.com/sushant1827/Human-Activity-Recognition-with-Smartphones
Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.
accelerometer classification confusion-matrix decision-tree-classifier exploratory-data-analysis gradient-boosting-classifier grid-search gridsearchcv gyroscope human-activity-recognition iot-application kernel-svm-classifier linear-discriminant-analysis logistic-regression python-3 random-forest-classifier rbf-classifier seaborn support-vector-machine t-sne
Last synced: 14 Oct 2025
https://github.com/therealaj/buckets-plus-plus
A way to predict an NBA's players chance of making a shot using machine learning
gradient-boosting-classifier machine-learning nba
Last synced: 22 Apr 2025
https://github.com/asafschers/scorystal
Crystal Scoring API for PMML
crystal gbm gradient-boosting-classifier machine-learning pmml random-forest
Last synced: 16 Jun 2025
https://github.com/sushant1827/machine-learning-for-predictive-maintenance
Demonstrate the application of machine learning on a real-world predictive maintenance dataset, using measurements from actual industrial equipment.
binary-classification classification-report confusion-matrix data-imbalance data-visualization decision-tree-classifier exploratory-data-analysis feature-engineering feature-importance feature-selection gradient-boosting-classifier imbalanced-data multi-class-classification roc-auc-curve
Last synced: 12 Apr 2025
https://github.com/sushantdhumak/machine-learning-for-predictive-maintenance
Demonstrate the application of machine learning on a real-world predictive maintenance dataset, using measurements from actual industrial equipment.
binary-classification classification-report confusion-matrix data-imbalance data-visualization decision-tree-classifier exploratory-data-analysis feature-engineering feature-importance feature-selection gradient-boosting-classifier imbalanced-data multi-class-classification roc-auc-curve
Last synced: 26 Mar 2025
https://github.com/shubhamjai9/emotion-based-counsellor-bot
An Artificial Intelligence based Chat Bot using python tools like Numpy, Pandas, Spacy etc. Counsellor Bot will mimic the characteristics and emotion interpretation skills of human and generate response on basis of emotion of engager.
chatbot gradient-boosting-classifier machine-learning naive-bayes-classifier nlp numpy pandas python-2 spacy
Last synced: 26 Dec 2025
https://github.com/somjit101/human-activity-recognition
This project is to build a model that predicts the human activities such as Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing or Laying using readings from the sensors on a smartphone carried by the user.
decision-tree-classifier eda feature-engineering gradient-boosting-classifier grid-search human-activity-recognition keras logistic-regression lstm random-forest-classifier rbf-kernel scikit-learn seaborn-plots signal-processing support-vector-classifier support-vector-machine t-sne tensorflow uci-har-dataset uci-machine-learning
Last synced: 05 Oct 2025
https://github.com/sermonzagoto/customer_churn_prediction
Customer Churn Prediction using Machine Learning
gradient-boosting-classifier jupyter-notebook logistic-regression-classifier machine-learning python3 random-forest-classifier
Last synced: 07 Oct 2025
https://github.com/shwetapardhi/project-bankruptcy_prediction
Using various machine learning models (Logistic Regression, Gaussian Naïve Bayes, KNN, Gradient Boosting Classifier, Decision Tree Classifier, Random Forest Classifier.) to predict whether a company will go bankrupt in the following years, based on financial attributes of the company; Addressed the issue of imbalanced classes, different importance
decision-tree-classifier eda gaussian-naive-bayes gradient-boosting-classifier knn logistic-regression python random-forest-classifier smote
Last synced: 22 Aug 2025
https://github.com/leabrodyheine/water-pump-status-prediction
This project implements machine learning models to predict the status of water pumps in Tanzania using data from DrivenData's competition. The project includes preprocessing steps, model evaluation using cross-validation, and hyperparameter optimization with Optuna.
argparse cross-validation gradient-boosting-classifier logistic-regression machine-learning multilayer-perceptron numpy optuna pandas random-forest-classifier scikit-learn
Last synced: 31 Dec 2025
https://github.com/andr3w03/employee-attrition-problem
Employee Attrition Problem Analysis and Prediction
data-analysis data-science data-visualization dicoding gradient-boosting-classifier machine-learning problem-solving python sklearn streamlit
Last synced: 28 Aug 2025
https://github.com/harmanveer-2546/diabetes-prediction-using-machine-learning
Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.
adaboost decision-trees gradient-boosting-classifier gridsearchcv knn-classification machine-learning numpy os pandas pickle python random-forest seaborn svc-model
Last synced: 10 Sep 2025
https://github.com/mahtabranjbar/cancer_detection_using_ml_models
This project uses machine learning to classify breast cancer tumors as malignant or benign using the Breast Cancer Wisconsin (Diagnostic) Dataset.
gradient-boosting-classifier knn-classification logestic-regression random-forest svm-classifier xgboost
Last synced: 04 Jan 2026
https://github.com/s2606/criminal_prediction_using_ml
Prediction of person committing a crime in future based on his record using GradientBoostingClassifier for classification
gradient-boosting-classifier machine-learning
Last synced: 22 Mar 2025
https://github.com/shourya1997/finding_donors
In this project, we will apply supervised learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause.
ada-boost-classifier fscore gradient-boosting-classifier ipython-notebook machine-learning python sgd-classifier supervised-learning
Last synced: 27 Feb 2025
https://github.com/kumpatlapavankumar/medical-insurance-cost-estimation-using-machine-learning
Using python,numpy,pandas,seaborn,matplotlib and machine learning techniques
accuracy-score data-science data-visualization decision-trees exploratory-data-analysis gradient-boosting-classifier label-encoding linear-regression machine-learning matplotlib model-selection-and-evaluation numpy pandas prediction preprocessing python random-forest train-test-split xgboost-regression
Last synced: 23 Jun 2025
https://github.com/faiyadnub/spaceship-titanic
Spaceship Titanic project.
automl data-science dataset docker ensemble-learning gradient-boosting-classifier hyperparameter-tuning imputation kaggle kaggle-challenge kaggle-titanic support-vector-machine xgboclassifier xgboost
Last synced: 25 Mar 2025
https://github.com/riciokzz/spaceship-titanic
Spaceship Titanic Kaggle project.
automl data-cleaning data-science docker gradient-boosting-classifier hyperparameter-tuning knearest-neighbors light-gradient-boosting-machine logistic-regression machine-learning random-forest-classifier spaceship-titanic xgboost
Last synced: 25 Mar 2025
https://github.com/shridhar1504/peerloankart-loan-fraud-detection-datascience-project
This project uses machine learning to predict whether a loan applicant will repay their loan. The project uses a dataset of historical loan data from PeerLoanKart, a peer-to-peer lending platform.
classification-model data-analysis data-analytics data-cleaning data-science data-visualization dimensional-analysis eda exploratory-data-analysis feature-engineering gradient-boosting-classifier hyperparameter-tuning jupyter-notebook machine-learning machine-learning-algorithms predictive-modeling python supervised-learning
Last synced: 09 Apr 2025
https://github.com/ssandra102/digits-classification
A digits classification model using Gradient Boosting Classifier, with CI using GitHub Actions.
ci gradient-boosting-classifier
Last synced: 22 Feb 2025
https://github.com/pratanup/bank-customer-churn
A prediction model based on ML as well as DL and compare their performances to find Churned Customers
adaboost-classifier ann churn-prediction data-analysis data-visualization decision-tree-classifier deep-learning deep-learning-algorithms gaussian-naive-bayes-classification gradient-boosting-classifier k-nearest-neighbours logistic-regression machine-learning machine-learning-algorithms random-forest-classifier svc svm-classifier xgboost-classifier
Last synced: 20 Feb 2025
https://github.com/filsan95/project-twitter_bot_detection
Using a synthetic dataset from Kaggle, generated with Python's Faker library to mimic real Twitter data, we train several classical machine learning models (ie. classical classification algorithms, as well as ensemble methods)to identify bots from real users.
data-preprocessing decision-trees ensemble-model feature-engineering gradient-boosting-classifier gridsearchcv logistic-regression random-forest-classifier randomsearchcv
Last synced: 21 Feb 2025
https://github.com/razamehar/predicting-bank-customer-churn
This project aims to predict bank customer churn using a dataset derived from the Bank Customer Churn Prediction dataset available on Kaggle. The dataset for this competition has been generated from a deep learning model trained on the original dataset, with feature distributions being similar but not identical to the original data.
adaboost-classifier classifier-model customer-churn-analysis customer-churn-prediction extra-trees-classifier gradient-boosting-classifier hyperparameter-tuning knn-classification python random-forest-classifier shapley-additive-explanations smote-sampling xgboost-classifier
Last synced: 11 Sep 2025
https://github.com/bala-1409/peerloankart-loan-fraud-detection-datascience-project
This project uses machine learning to predict whether a loan applicant will repay their loan. The project uses a dataset of historical loan data from PeerLoanKart, a peer-to-peer lending platform.
correlation data-analysis data-cleaning data-science data-visualization dimensional-analysis eda exploratory-data-analysis feature-engineering gradient-boosting-classifier hyperparameter-tuning juypter-notebook machine-learning machine-learning-algorithms numpy pandas predictive-modeling python3 scikitlearn-machine-learning supervised-learning
Last synced: 05 Oct 2025
https://github.com/robertfmath/mammal-taxonomy-gradient-boosting-classifier
Predicting mammalian taxonomic order based on ecological, geographic, and life-history traits
classification gradient-boosting gradient-boosting-classifier machine-learning mammals python scikit-learn taxonomic-classification taxonomy
Last synced: 06 Oct 2025
https://github.com/balajimohan18/peerloankart-loan-fraud-detection-datascience-project
This project uses machine learning to predict whether a loan applicant will repay their loan. The project uses a dataset of historical loan data from PeerLoanKart, a peer-to-peer lending platform.
classification-model data-analysis data-analytics data-cleaning data-science data-visualization dimensional-analysis eda exploratory-data-analysis feature-engineering gradient-boosting-classifier hyperparameter-tuning jupyter-notebook maachine-learning machine-learning-algorithms predictive-modeling python supervised-learning
Last synced: 06 Oct 2025
https://github.com/vedanty3/medify
Medify is a MERN stack app that predicts heart disease using machine learning. Patients can send their medical data to their doctors through the app.
decision-tree-classifier eli5 express gradient-boosting-classifier joblib jwt knn-classification lime logistic-regression machine-learning material-ui mern-stack mongodb nodejs nodemailer python react redux shape svm-classifier
Last synced: 13 Oct 2025
https://github.com/phalconvee/telco-churn-ai-ml
Predictive models to analyse a telco firm's customer-level data, to identify customers at high risk of churn and identify the leading indicators.
ai decision-tree-classifier gradient-boosting-classifier logistic-regression machine-learning mlp-classifier neural-networks random-forest-classifier
Last synced: 14 Oct 2025
https://github.com/katerynazakharova/machine-learning
Example of a ML algorithm.
gradient-boosting-classifier gridsearchcv machine-learning ml numpy pandas python3
Last synced: 26 Mar 2025
https://github.com/juzershakir/finding-donors-charityml
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
adaboost charity charityml donations finding-donors gradient-boosting-classifier gridsearchcv letters machine-learning-engineering machine-learning-nanodegree machine-learning-tutorials model-tuning pandas python scikitlearn-machine-learning sgd-classifier supervised-learning supervised-learning-algorithms udacity
Last synced: 22 Oct 2025
https://github.com/cosmicoppai/geek-a-thon
Olympus: Enhancing Olympic Experience
auth0 cockroachdb fastapi gpt gradient-boosting-classifier hugging-face olympic python react roberta sklearn vimeo
Last synced: 17 Mar 2025
https://github.com/ananyajain2004/fake-news-detection
A python project for detecting fake news using machine learning algorithms.
decision-tree-classifier gradient-boosting-classifier logistic-regression machine-learning numpy pandas python3 random-forest-classifier testing
Last synced: 16 Jun 2025
https://github.com/anushrey10/fuel_efficiency_predictor
Welcome to the Fuel Efficiency Predictor! This advanced tool uses machine learning to predict your vehicle's fuel efficiency based on various characteristics.
decision-tree gradient-boosting-classifier html-css-javascript linear-regression machile-learning matplotlib python random-forest scikit-learn tailwindcss
Last synced: 27 Mar 2025
https://github.com/sayande01/fake_news_prediction_machine_learning
This project evaluates logistic regression, random forest, decision tree, and gradient boosting classifier models for fake news detection. Using labeled data, it analyzes accuracy, confusion matrices, and ROC curves to understand each model's effectiveness in discerning between real and fake news.
binary-classification decison-trees gradient-boosting-classifier logistic-regression random-forest
Last synced: 10 Jul 2025
https://github.com/mattytomo365/weekly-sales-machine-learning-models
This project contributed towards my AI and Machine Learning module at university, it predicts weekly sales for retail stores using machine learning models. It includes data preprocessing, feature engineering, and training/testing of models such as Random Forest and Gradient Boosting Regressors.
ai evaluation-metrics gradient-boosting-classifier machine-learning-algorithms python random-forest-classifier
Last synced: 19 Jun 2025
https://github.com/snigdho8869/numerical-data-analysis-projects
Exploring numerical data analysis with credit card churn, fraud detection, health predictions and more.
adaboost cnn data-analysis deep-learning dnn ensemble-learning exploratory-data-analysis gradient-boosting-classifier keras logistic-regression machine-learning ml numeric numerical-analysis pandas python3 random-forest scikit-learn support-vector-machines tensorflow
Last synced: 28 Mar 2025
https://github.com/abdelrahman-amen/titanic-survival-prediction
The Titanic dataset includes passenger information such as survival status, ticket class, gender, age, family relations aboard, fare, cabin, and port of embarkation. It's widely used for predictive modeling to understand survival patterns based on passenger attributes.
decision-tree-classifier gaussiannb gradient-boosting-classifier knearest-neighbor-classifier logistic-regression python random-forest-classifier sgd-classifier svc
Last synced: 05 Apr 2025
https://github.com/prakharchoudhary/mlchallenge-2
My submission for machine learning challenge #2, organised by hackerEarth.
adaboost gradient-boosting-classifier jupyter-notebook machine-learning python scikit-learn
Last synced: 31 Dec 2025
https://github.com/mohamedkhalidlx/loan-eligibility-prediction-web-app
Loan Eligibility Prediction Model: A machine learning application to predict loan approval based on applicant data. Includes a web interface for submitting loan applications and receiving predictions. Built with Python and Jupyter Notebook.
bernoulli-naive-bayes css csv decision-tree-classifier flask gaussian-naive-bayes-classifier gradient gradient-boosting-classifier html ipython-notebook knn-classifier logistic-regression machine-learning machine-learning-algorithms naive-bayes-classifier pickle python random-forest-classifier support-vector-classifier webapp
Last synced: 01 Mar 2025
https://github.com/anushkundu/churn-prediction
Telecom Customer Churn Prediction Using Machine Learning!
accuracy-score classification-algorithm classification-report data-analysis data-science deep-learning gradient-boosting-classifier keras-tensorflow logistic-regression machine-learning random-forest-classifier recall-precision roc-auc-score smote-sampling svm-classifier
Last synced: 24 Feb 2025
https://github.com/jigyasag18/employee-salary-prediction-jigyasa
PayNexus is a machine learning-powered web app that predicts employee salaries based on role, education, and experience. Built using Python, Streamlit, and scikit-learn, it supports both single and batch predictions. The app includes advanced features like resume parsing via NLP and interactive visual analytics. Ideal for job seekers, HR profession
data dataset decision-tree-regressor gradient-boosting-classifier knearest-neighbor-classifier labelencoder lasso-regression linear-regression machine-learning machine-learning-algorithms machinelearning onehot-encoder pipeline random-forest random-forest-classifier ridge-regression standardscaler svr-regression-prediction xgboost xgboost-classifier
Last synced: 02 Nov 2025
https://github.com/anuj-rai-23/model-ananlysis-and-red-wine-quality-prediction
An attempt to study various ML models for predicting the quality of Red Wine using various performance measures.
accuracy-metrics decision-tree decision-tree-classifier f1-score gradient-boosting-classifier ipynb ipynb-jupyter-notebook machine-learning performance-measures python random-forest recall-score support-vector-machines svm-classifier wine-quality
Last synced: 01 Aug 2025
https://github.com/olahsymbo/credit-score
flask app for credit scoring with gradient boosting classifier machine learning algorithm
flask gradient-boosting-classifier gunicorn k8s python
Last synced: 08 Aug 2025
https://github.com/tolumie/ai-machine-learning-projects
A collection of hands-on Artificial Intelligence (AI) and Machine Learning (ML) projects covering supervised and unsupervised learning, ensemble methods, deep learning, and model evaluation. This repository provides practical implementations using real-world datasets, making it ideal for both beginners and experienced data scientists.
artificial-intelligence classification clustering-methods data-analysis data-science decision-trees deep-learning ensemble-learning feature-engineering gradient-boosting-classifier hyperparameter-tuning keras-tensorflow machine-learning neural-networks pca python random-forest regression supervised-learning unsupervised-learning
Last synced: 24 Aug 2025
