h2o-automl
There are 64 repositories under h2o-automl topic.
h2oai/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
kennethleungty/End-to-End-AutoML-Insurance
An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
h2oai/wave-h2o-automl
Wave App for H2O AutoML
SeanPLeary/shapley-values-h2o-example
Shapley Values with H2O AutoML Example (ML Interpretability)
VishalKumar-S/Sales_Conversion_Optimization_MLOps_Project
Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, data validation, drift analysis, CI/CD, Streamlit app, Docker, and GitHub Actions. Includes e-mail alerts, Discord/Slack integration, and SHAP interpretability. Streamline ML workflow and enhance sales performance.
luisferreira97/autoautoml
Computational experiments for the paper "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost" (IJCNN 2021)
michalkurka/h2o-parallel-grid-search-benchmark
Parallel Grid Search benchmark - H2O Machine Learning
zuliani99/AutoML-Benchmark
Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application
jpacerqueira-zz/Akamai-log-Analysis-SparkML-H2o
Transformation of Akamai Logs with Spark ETL and discover of Values and similarities in logs used SparkML and H2O ML
baotramduong/Cervical-Cancer-Prediction-with-H2O-AutoML
In this project, we will identify the characteristics of women who are more likely to develop cervical cancer and use Automatic Machine Learning H2O AutoML to make prediction on whether or not a certain customer would buy a term deposit. We will also use Explainable AI (XAI) methods such as Variable Importance Plot, Partial Dependence Plot, SHAP Summary Plot, and LIME to explain how each of our feature input affects our model prediction.
codez0mb1e/donald-trump-tweets
Prediction of the Dow Jones index on Donald Trump's tweets
navdeep-G/sdss-h2o-automl
Code & presentation for the 'H2O AutoML' short course at SDSS 2018 in Reston, VA
Tre-Xanh/automl
Use MLflow to make a pipeline of data preprocessing, machine learning, and predicting. Can do mlflow serving using docker in docker (dind).
WajdiBenSaad/Kaggle_Customer_Transation_Prediction
My Final Submission for the 'Santander Customer Transaction Prediction'. I have participated in this very tough and interesting competition on Kaggle a while ago and I finally got the time to put all the work together in this Repo.
aminbenmansour/e2e-insurance-cross-sell-prediction-automl
Using a stack of powerful tools to build an End-to-End AutoML pipeline for insurance cross-sell prediction
baotramduong/Life-Expectancy-Prediction-with-H2O-AutoML
We will leverage population's information on immunization, mortality, social- economic and other health related factors and use Automatic Machine Learning H2O AutoML to make prediction on life expectancy of a certain population. We will also use Variable Importance Plot, Partial Dependence Plot, and SHAP Summary Plot to explain how each of our feature input affects our model prediction.
berksudan/TUM-Analytics-Cup-2022-Winner-Versed-Chimpanzee
Our team (Versed Chimpanzee) came first among 340 people and 148 registered teams (119 teams did submission) in TUM Analytics Cup 2022 challenge sponsored by Siemens Advanta Consulting and organized by TUM Informatics Decision Sciences & Systems Department.
csuoc/Final_project_Uresens
Final project of the Data Analytics bootcamp. Ironhack Barcelona. December 2022
elyorman/Energy-usage-prediction-with-H2OAutoML
Energy usage prediction with H2O AutoML
fvildoso/databases-trikis
Este proyecto "databases-trikis" es una aplicación que utiliza SQLAlchemy, Redis y H2O.
Plant-Food-Research-Open/r-pipeline-development-workshop
Workshop on pipeline development and model deployment onto Kubernetes via Docker using R.
SeanPLeary/unsupervised-anomaly-model-shapley-explanations
An investigation on the use of shapley explanations for unsupervised anomaly-detection models
WilliamRappel98/ce3-h2o
Files for compiling my presentation about H2O.ai.
xavierkamp/tsForecastR
R package consisting of functions and tools to facilitate the use of traditional time series and machine learning models to generate forecasts on univariate or multvariate data. Different backtesting scenarios are available to identify the best performing models.
akh-04/Brain_Stroke_SHAP_analysis
Interpreting coefficients and results of the following models: 1. Logistic Regression 2. Random Forest 3. AutoML (H2O)
ashish-kamboj/automl
AutoML Libraries for training multiple ML models in one go with less code.
asma-hachaichi/AutoML-Builder
AutoML-Builder is an API that automates the generation of machine learning models for regression or classification tasks from provided datasets.
baotramduong/Bank-Term-Deposit-Marketing-Strategy-with-Automatic-Machine-Learning-H2OAutoML
Identify the characteristics of customers who more likely to respond and commit to a term deposit and use Automatic Machine Learning H2O AutoML to make prediction on whether or not a certain customer would buy a term deposit.
bchryzal/Movie-content-recommendations
Build your own Recommendation Systems !!!
EbodShojaei/boba-hosted
Boba is a Next.js app that helps users discover 2025 Minor League Baseball prospects with a machine learning-powered 98% predictive accuracy (R²), offering detailed prospect profiles and rankings.
Google-Boba/boba-hosted
Boba is a Next.js app that helps users discover 2025 Minor League Baseball prospects with a machine learning-powered 98% predictive accuracy (R²), offering detailed prospect profiles and rankings.
MuskanRaisinghani23/CreditCardApprovalPrediction
The Credit Card Approval Prediction system leverages regression models, AutoML, SHAP analysis, and advanced data visualization techniques. This comprehensive system enhances accuracy in predicting credit card approvals, showcasing a blend of sophisticated modeling, automation, and interpretability.
research-outcome/automl-sample
This repository includes sample code for AutoML tools AutoGluon, AutoKeras, AutoSklearn, H2O, PyCaret, TPOT
TRAORE-07/Time-Series-Forcasting
Time series forecasting involves predicting future values of a variable based on its historical data. It's commonly used in various fields, including finance, economics, weather forecasting, and supply chain management.