Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: extreme-gradient-boosting

ameybhole/Predicting-hospital-readmission

Code for the project "Predicting hospital readmission of diabetic patients using ensemble learning"

Language: R - Size: 3.98 MB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

absaw/trauma-data-analysis

Integrative Biomechanical and Clinical Features Predict In-Hospital Trauma Mortality

Language: Jupyter Notebook - Size: 117 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Kaushikjas10/Liquefaction-XGBoost-SHAP-Jas-Dodagoudar

This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of soils. This model is developed using XGBoost and SHAP.

Language: Jupyter Notebook - Size: 253 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

bkrai/Top-10-Machine-Learning-Methods-With-R

Includes top ten must know machine learning methods with R.

Size: 70.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 73 - Forks: 65

anxxos/sp500-prediction-sentiment-xgboost

In this work an application of the Triple-Barrier Method and Meta-Labeling techniques is explored with XGBoost for the creation of a sentiment-based trading signal on the S&P 500 stock market index. The results confirm that sentiment data have predictive power, but a lot of work is to be carried out prior to implementing a strategy.

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 13 - Forks: 7

CRDK1009/Exploring-Planets

Algorithms used to confirm whether a celestial body is a planet or not.

Language: Jupyter Notebook - Size: 188 KB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

haghish/mlim

mlim: single and multiple imputation with automated machine learning

Language: R - Size: 2.39 MB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 23 - Forks: 1

NCI-CGR/HPV_low_VAF_SNV_prediction

Predicting true low-VAF SNVs in HPV using triplicate NGS samples and machine learning

Language: Jupyter Notebook - Size: 17.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

LinggarM/Ensemble-Learning-Comparison-on-Diabetes-Classification

Comparison of ensemble learning methods on diabetes disease classification with various datasets

Language: Jupyter Notebook - Size: 5.8 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

cglamb/Voting_Ensemble_Spam

Applies Machine Learning approach to predict spam.

Language: Jupyter Notebook - Size: 944 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

ryanschaub/Predicting-Loan-Interest-Rates

In this project we will be using the publicly available and Kaggle-popular LendingClub data set to train Linear Regression and Extreme Gradient Descent Boosted Decision Tree models to predict interest rates assigned to loans. First, we will clean and prepare the data. This includes feature removal, feature engineering, and string processing.There are several entries where values have been deleted to simulate dirty data. Then, we will build machine learning models in Python to predict the interest rates assigned to loans. We will evaluate our models' performances using the root mean squared error (RMSE) metric and compare our models' results.

Language: Jupyter Notebook - Size: 39.1 KB - Last synced at: 8 months ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 6

sdixit5/Walmart-Weekly-Sales-Prediction

This project compares the different machine learning models on Walmart Weekly Sales Data and predicts the weekly sales for the test data.

Language: Jupyter Notebook - Size: 310 KB - Last synced at: 9 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

ShreyaPatil1199/Big_Mart_Sales_Prediction

Big Mart Sales Prediction is a data-driven project aiming to forecast product sales accurately across Big Mart outlets. Leveraging machine learning and comprehensive datasets, our project empowers retailers to optimize inventory, enhance profitability, and make informed decisions in the dynamic world of retail.

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

jarred13/Predicting_Quality_of_Wine

Using data to help us choice high quality wine

Language: Jupyter Notebook - Size: 6.07 MB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Evilmaax/Automated_Fraud_Detection_Classifier

This repo contains the result of my computer science course: An automated tool to classify credit card transactions. Could be used with any dataset

Language: Python - Size: 2.42 MB - Last synced at: 11 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

eltontay/Ethereum-Fraud-Detection

Detecting Fraudulent Blockchain Accounts on Ethereum with Supervised Machine Learning

Language: Jupyter Notebook - Size: 506 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 4

mamomen1996/R_CS_06

Sports Analytics in R (Gradient Boost approaches for Decision Tree in Regression problems)

Language: HTML - Size: 38.1 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

samtwl/Machine-Learning

This repository contains several machine learning projects done in Jupyter Notebooks

Language: Jupyter Notebook - Size: 8.08 MB - Last synced at: 12 months ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 1

benedekrozemberczki/AV_Ultimate_Student_Hunt

Solution for the Ultimate Student Hunt Challenge (1st place).

Language: R - Size: 43 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 9

glapointe7/Santander-Customer-Satisfaction

Kaggle challenge to predict if a customer is satisfied or dissatisfied with their banking experience.

Language: HTML - Size: 7.6 MB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 0

glapointe7/ShelterAnimalOutcomes

Kaggle challenge asking to predict the outcome for each animal of the shelter.

Language: HTML - Size: 7.82 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 0

glapointe7/HousePrices

Kaggle challenge asking to predict the final price of each home based on their description/properties.

Language: HTML - Size: 8.53 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

glapointe7/CaterpillarTubePricing

Kaggle challenge asking to predict how a supplier will quote a price on a given tube assembly.

Language: HTML - Size: 7.69 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 0

Related Keywords
extreme-gradient-boosting 23 machine-learning 17 data-science 8 r 7 gradient-boosting 6 random-forest 6 logistic-regression 5 data-mining 4 data-visualization 4 random-forest-regression 3 python 3 regression-models 3 naive-bayes-classifier 3 ensemble-learning 3 classification 2 xgboost 2 stacking-ensemble 2 gradient-boosting-regressor 2 python3 2 jupyter-notebook 2 decision-tree 2 boosting 2 kaggle 2 random-forest-classifier 2 fraud-detection 2 decision-trees 2 linear-regression 2 data-cleaning 2 wine 1 credit-card 1 uci-dataset 1 wine-quality 1 machine-learning-explainability 1 keras 1 dense-layers 1 ethereum 1 deep-learning 1 wine-quality-prediction 1 etherscan 1 ridge-regression 1 lasso-regression 1 exploratory-data-analysis 1 decision-tree-regression 1 correlation-analysis 1 comparison 1 adaboost-regressor 1 hypothesis-testing 1 elastic-net-regression 1 data-preprocessing 1 conclusion 1 jupyter-notebooks 1 interest-rates 1 voting-ensemble 1 knn-classifier 1 multivariate-linear-regression 1 regularized-linear-regression 1 topic-modeling 1 analytics-vidhya-competition 1 competition 1 data-engineering 1 data-engineering-pipeline 1 distributed-machine-learning 1 driven-data 1 forecasting 1 student-hunt 1 supervised-learning 1 lasso-regression-model 1 weather-forecast 1 winning-entry 1 correlation 1 anomaly-detection 1 sql 1 lightgbm 1 mining 1 multi-layer-perceptron 1 naive-bayes 1 stacked-ensembles 1 support-vector-machine 1 time-series 1 data-analysis 1 gradient-descent 1 database 1 ml 1 stochastic-gradient-descent 1 gaussian-naive-bayes-implementation 1 machine-learning-algorithms 1 machine-learning-models 1 multi-class-classification 1 news-sentiment 1 stock-market-prediction 1 trading-strategy 1 gridsearchcv 1 imbalance-classification 1 informed-search 1 randomsearch-cv 1 automatic-machine-learning 1 automl 1 classimbalance 1 elastic-net 1 gbm 1