gradient-boosting-classifier

There are 1 repository under gradient-boosting-classifier topic.

awesome-gradient-boosting-papers
benedekrozemberczki / awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
gradient-boosting gradient-boosting-classifier gradient-boosting-machine gradient-boosted-trees gradient-boosting-decision-trees xgboost xgboost-algorithm catboost lightgbm random-forest decision-tree classification-algorithm classification-trees machine-learning deep-learning h2o classifier classification-tree adaboost boosting
Language:Python 1032
zygmuntz / hyperband
Tuning hyperparams fast with Hyperband
hyperparameters hyperparameter-optimization hyperparameter-tuning gradient-boosting-classifier gradient-boosting machine-learning
Language:Python 595
sharmapratik88 / AIML-Projects
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
supervised-machine-learning machine-learning knearest-neighbor-algorithm random-forest machinelearningprojects unsupervised-machine-learning logistic-regression support-vector-machines decision-tree-classifier gradient-boosting-classifier statistics ensemble-machine-learning oversampling data-science data-visualization datascienceproject recommendation-system catboost nlp computer-vision
Language:Jupyter Notebook 172
kapilsinghnegi / Fake-News-Detection
This project detects whether a news is fake or not using machine learning.
machine-learning python scikit-learn fakenewsdetection logistic-regression decision-tree-classifier gradient-boosting-classifier random-forest-classifier sklearn
Language:Jupyter Notebook 87
asafschers / scoruby
Ruby Scoring API for PMML
ruby-gem pmml random-forest classification rubyml machine-learning gradient-boosting-classifier gbm ruby gradient-boosted-models decision-tree naive-bayes
Language:Ruby 69
wangy8989 / Bankruptcy-Prediction-using-Machine-Learning
Using various machine learning models to predict whether a company will go bankrupt
credit-risk risk-modelling machine-learning bankruptcy-prediction python naive-bayes-classification logistic-regression support-vector-machines gradient-boosting-classifier neural-network
Language:Jupyter Notebook 31
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
python python27 catboost gradient-boosting-classifier gradient-boosting pearson-correlation variance-analysis feature-selection one-hot-encode seaborn yandex-catboost data-preprocessing visualization pandas data-analysis data-science
Language:Jupyter Notebook 30
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 ensemble-learning gradient-boosting-classifier gru keras-tensorflow logistic-regression natural-language-processing neural-network nlp random-forest-classifier rnn-lstm support-vector-machines xlnet-fine-tuning flask-application deep-learning flask machine-learning text-classification
Language:Jupyter Notebook 29
krpiyush5 / Facebook-Friend-Recommendation-using-Graph-Mining
In this challenge we have given a directed social graph, and we have to predict missing links to recommend users (Link Prediction in graph)
machine-learning graphmining facebook feature-engineering random-forest gradient-boosting-classifier
Language:Jupyter Notebook 28
indrapaul824 / Coronary-Heart-Disease-Prediction
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
classification-model framingham logistic-regression decision-trees knn-classification random-forest gradient-boosting-classifier hyperparameter-tuning ensemble-classifier resampling minmaxscalar accuracy-score confusion-matrix univariate-analysis bivariate-analysis feature-engineering supervised-learning python3 jupyter-notebooks heart-disease
Language:Jupyter Notebook 26
adamingas / ordinalgbt
A package to build Gradient boosted trees for ordinal labels
catboost gbm gradient-boosting gradient-boosting-classifier lightgbm ordinal-classification ordinal-regression xgboost lightgbm-mo
Language:Jupyter Notebook 19
zin288 / DanceVision-AI-Driven-Dance-Proficiency-Assessment
Pose estimation and prediction using Mediapipe and various ML models
decision-tree gradient-boosting-classifier logistic-regression mediapipe knn-gridsearch
Language:Jupyter Notebook 19
dayfundora / Personality-Type
Recognition of Persomnality Types from Facebook status using Machine Learning
personality-traits personality-predicting python machine-learning machine-learning-algorithms big5 big5-ocean-traits liwc liwc-dictionaries logistic-regression-classifier random-forest-classifier multinomialnb gradient-boosting-classifier svc linear-regression-classification ridge-classifier sgd-classifier facebook facebook-status-scraper
Language:JavaScript 18
DandiMahendris / Auto-Insurance-Fraud-Detection
This research goal is to build binary classifier model which are able to separate fraud transactions from non-fraud transactions.
fraud-detection gradient-boosting-classifier machine-learning xgboost-classifier
Language:HTML 17
Federated_XGBoost_Python
Jaap-Meerhof / Federated_XGBoost_Python
FederBoost's Federated Gradient Boosting Decision Tree Algorithm, Federated enabled Membership Inference
gdbt-classifier gradient-boosting-classifier membership-inference-attack python xgboost federated-learning
Language:Python 15
ArnabKumarRoy02 / Phishing-attack-detection
This project is our submission for the Kavach Hackathon 2023, in which we have created a browser extension that detects the links present in the email and classifies whether they are safe or not.
cybersecurity gradient-boosting-classifier machine-learning python
Language:Jupyter Notebook 14
abdullahsaka / Capital_One-Data_Challenge
Data Science Challenge
capital-one data-science-challenges machine-learning random-forest-classifier gradient-boosting-classifier finance fraud-detection
Language:Jupyter Notebook 10
shraddhasomani / Statistical-Modeling-for-NASDAQ100-Stock
Analyze NASDAQ100 stock data. Used ARIMA + GARCH model and machine learning techniques Naive Bayes and Decision tree to determine if we go long or short for a given stock on a particular day
r statistical-analysis stock-market naive-bayes-classifier decision-trees gradient-boosting-classifier nasdaq100 arima-model garch
Language:R 9
DmitryAsdre / rocauc_pairwise
RocAuc Pairiwse objective for gradient boosting
binary-classification cuda cuda-programming cython-wrapper gpu-accelerated-library gpu-acceleration gpu-computing gradient-boosting gradient-boosting-classifier lambdarank openmp pairwise pairwise-ranking ranking
Language:Python 8
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.
exploratory-data-analysis t-sne iot-application logistic-regression support-vector-machine classification rbf-classifier decision-tree-classifier gradient-boosting-classifier random-forest-classifier seaborn python-3 linear-discriminant-analysis confusion-matrix gridsearchcv grid-search kernel-svm-classifier human-activity-recognition gyroscope accelerometer
Language:Jupyter Notebook 8
leffff / stackboost
Open source gradient boosting library
boosting ensemble-learning decision-tree gradient-boosting regression-models classification-model python pypi data-science data-analysis gradient-boosting-machine gradient-boosting-regressor gradient-boosting-classifier
Language:Python 7
rochitasundar / Customer-profiling-using-ML-EasyVisa
The aim is to find an optimal ML model (Decision Tree, Random Forest, Bagging or Boosting Classifiers with Hyper-parameter Tuning) to predict visa statuses for work visa applicants to US. This will help decrease the time spent processing applications (currently increasing at a rate of >9% annually) while formulating suitable profile of candidates more likely to have the visa certified.
decision-tree-classifier bagging-ensemble random-forest-classifier gradient-boosting-classifier adaboostclassifier xgboost-classifier stacking-ensemble grid-search-hyperparameters grid-search-cross-validation accuracy-metrics precision-recall f1-score
Language:Jupyter Notebook 7
rohitkulkarni08 / Customer-Churn-Analysis
This is a customer churn prediction project using machine learning algorithms like Logistic Regression, Random Forest, K-Nearest Neighbors, Support Vector Machine, XGBoost, and Gradient Boosting. The project aims to analyze and predict customer churn in a dataset, using techniques like class weighting and SMOTE to handle class imbalance
classification-models data-science data-visualization feature-engineering gradient-boosting-classifier jupyter logistic-regression machine-learning pandas python smote svm-classifier xgboost-classifier
Language:Jupyter Notebook 6
syeda434am / Suicide-Ideation-Detection
This repository aims to address the critical issue of identifying and understanding suicide ideation in social media conversations, specifically focusing on Twitter data.
adaboostclassifier bert ensemble-learning gradient-boosting-classifier gru lstm lstm-cnn nlp random-forest svm-classifier text-processing dataset-generation exploratory-data-analysis logistic-regression naive-bayes-classifier
Language:Jupyter Notebook 6
Telecom-Customer-Churn-Analysis-Prediction
VibolvatanakPOCH / Telecom-Customer-Churn-Analysis-Prediction
Telecom Customer Churn Analysis & Prediction project uses Gradient Boosting for precise predictions, Power BI for churn pattern visualizations, and Streamlit for interactive insights. With robust code and meticulous data preprocessing, stakeholders access accurate predictions to optimize retention and drive profitability.
gradient-boosting-classifier machine-learning powerbi predictive-analytics retention-analysis streamlit-webapp
Language:Jupyter Notebook 6
AtharvaKulkarniIT / Fake-News-Detection-using-Machine-Learning
This repository hosts a Jupyter notebook for Fake News Detection, utilizing machine learning algorithms like Logistic Regression , Gradient Boosting Classifier , Random Forest and Decision Tree. The project covers data preprocessing, analysis and manual testing of news articles, with added multi language support using Google Translate API .
decision-tree-classifier fake-news-detection gradient-boosting-classifier logistic-regression machine-learning
Language:Jupyter Notebook 5
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
Language:Python 5
thierrymoudiki / unifiedbooster
Unified interface for Gradient Boosted Decision Trees
gbdt gbdt-model gradient-boosting gradient-boosting-classifier gradient-boosting-machine gradient-boosting-regressor
Language:Jupyter Notebook 5
brian-kipkoech-tanui / binaryclassification
Classification
adaboostclassifier classification-algorithm ensemble-model gradient-boosting-classifier random-forest svm voting-classifier xgboost-classifier
Language:Jupyter Notebook 4
luuisotorres / Credit-Card-Fraud-Detection
For this project, I used four different classification algorithms to detect fraudulent credit card transactions.
classification-algorithm classification-model credit-card-fraud-detection data-science data-visualization decision-tree-classifier machine-learning machine-learning-algorithms random-forest-classifier scikit-learn sklearn ada-boost-classifier adaboost-algorithm adaboostclassifier feature-engineering gradient-boosting-classifier gradientboostinclassifier pandas python
Language:Jupyter Notebook 4
mborhi / IPO-Underpricing
Predicting short-term IPO returns. Course work for CSCI-B351 at Indiana University.
ipo-prediction machine-learning gradient-boosting-classifier ipo-valuation neural-network random-forest svm
Language:Jupyter Notebook 4
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
Language:Jupyter Notebook 4
tboudart / Life-Expectancy-Regression-Analysis-and-Classification
I contributed to a group project using the Life Expectancy (WHO) dataset from Kaggle where I performed regression analysis to predict life expectancy and classification to classify countries as developed or developing. The project was completed in Python using the pandas, Matplotlib, NumPy, seaborn, scikit-learn, and statsmodels libraries. The regression models were fitted on the entire dataset, along with subsets for developed and developing countries. I tested ordinary least squares, lasso, ridge, and random forest regression models. Random forest regression performed the best on all three datasets and did not overfit the training set. The testing set R2 was .96 for the entire dataset and developing country subset. The developed country subset achieved an R2 of .8. I tested seven different classification algorithms to classify a country as developing or developed. The models obtained testing set balanced accuracies ranging from 86% - 99%. From best to worst, the models included gradient boosting, random forest, Adaptive Boosting (AdaBoost), decision tree, k-nearest neighbors, support-vector machines, and naive Bayes. I tuned all the models' hyperparameters. None of the models overfitted the training set.
pandas numpy seaborn scikit-learn statsmodels ordinary-least-squares ridge-regression lasso-regression random-forest-regression naive-bayes-classifier k-nearest-neighbor-classifier decision-tree-classifier random-forest-classifier support-vector-classifier adaboost-classifier gradient-boosting-classifier jupyter-notebooks python matplotlib-pyplot
Language:Jupyter Notebook 4
Agnij-Moitra / MSBoost
MSBoost is a gradient boosting algorithm that improves performance by selecting the best model from multiple parallel-trained models for each layer, excelling in small and noisy datasets.
gradient-boosting gradient-boosting-classifier gradient-boosting-regressor machine-learning machine-learning-algorithms tabular-data scikit-learn scikitlearn-machine-learning
Language:Jupyter Notebook 3
Sachinthotre / Credit_Card_Fraud_Detection
Utilizing machine learning models including logistic regression, random forest, gradient boosting, and neural networks to identify fraudulent credit card transactions. Dataset, consisting of PCA-transformed features and unbalanced classes, required precision-recall metrics for accurate evaluation. Developed in Python using TensorFlow and scikit.
colab decision-trees gradient-boosting-classifier knn logistic-regression python random-forest-classifier svc xgboost
Language:Jupyter Notebook 3
VivekSagarSingh / Probability-of-Credit-card-Default
Classification problem using multiple ML Algorithms
ada-boost-classifier bagging-ensemble confusion-matrix gradient-boosting-classifier gridsearchcv heatmap iqr linear-discriminant-analysis-classifier logistic-regression multicollinearity numpy pandas-python precision-recall random-forest-classifier roc-auc-curve smote statsmodels variance-inflation-factor
Language:Jupyter Notebook 3

gradient-boosting-classifier

benedekrozemberczki / awesome-gradient-boosting-papers

zygmuntz / hyperband

sharmapratik88 / AIML-Projects

kapilsinghnegi / Fake-News-Detection

asafschers / scoruby

wangy8989 / Bankruptcy-Prediction-using-Machine-Learning

KwokHing / YandexCatBoost-Python-Demo

Snigdho8869 / Multiclass-Text-Classification

krpiyush5 / Facebook-Friend-Recommendation-using-Graph-Mining

indrapaul824 / Coronary-Heart-Disease-Prediction

adamingas / ordinalgbt

zin288 / DanceVision-AI-Driven-Dance-Proficiency-Assessment

dayfundora / Personality-Type

DandiMahendris / Auto-Insurance-Fraud-Detection

Jaap-Meerhof / Federated_XGBoost_Python

ArnabKumarRoy02 / Phishing-attack-detection

abdullahsaka / Capital_One-Data_Challenge

shraddhasomani / Statistical-Modeling-for-NASDAQ100-Stock

DmitryAsdre / rocauc_pairwise

sushant1827 / Human-Activity-Recognition-with-Smartphones

leffff / stackboost

rochitasundar / Customer-profiling-using-ML-EasyVisa

rohitkulkarni08 / Customer-Churn-Analysis

syeda434am / Suicide-Ideation-Detection

VibolvatanakPOCH / Telecom-Customer-Churn-Analysis-Prediction

AtharvaKulkarniIT / Fake-News-Detection-using-Machine-Learning

therealAJ / buckets-plus-plus

thierrymoudiki / unifiedbooster

brian-kipkoech-tanui / binaryclassification

luuisotorres / Credit-Card-Fraud-Detection

mborhi / IPO-Underpricing

sushant1827 / Machine-Learning-for-Predictive-Maintenance

tboudart / Life-Expectancy-Regression-Analysis-and-Classification

Agnij-Moitra / MSBoost

Sachinthotre / Credit_Card_Fraud_Detection

VivekSagarSingh / Probability-of-Credit-card-Default