GitHub topics: h2o-automl
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.
Language: Jupyter Notebook - Size: 597 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 7,155 - Forks: 2,016

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.
Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 2

armahdavi/BigData_pyspark_sales_analytics
Summarizing my big data codes in pyspark and h2o to analyze sales data with retail and walmart superstore to draw sales insights
Language: Jupyter Notebook - Size: 41 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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.
Language: HTML - Size: 13.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 17 - Forks: 3

kennethleungty/End-to-End-AutoML-Insurance
An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
Language: Jupyter Notebook - Size: 47.8 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 76 - Forks: 38

gehad-Ahmed30/Auto-ML
This repository showcases a comparison of AutoML frameworks—PyCaret, Lazy Predict, and H2O AutoML—by evaluating multiple models automatically and analyzing their performance. 🚀
Language: Jupyter Notebook - Size: 30.3 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

EbodShojaei/boba-hosted Fork of 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.
Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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.
Language: Jupyter Notebook - Size: 5.03 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 2

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.
Language: Python - Size: 2.52 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

h2oai/wave-h2o-automl
Wave App for H2O AutoML
Language: Python - Size: 6.45 MB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 19 - Forks: 9

Dutta-SD/PythonPrograms
A directory of common utilities and use cases, implemented in Python
Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

shimaa83/FlowML-h2oautoML
automl and flowML code in degshub
Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

ConstantSun/ForecastCash
Forecast 200 ATM cash, using h2o automl lib, auto deploy with 100 SageMaker processing jobs
Language: Jupyter Notebook - Size: 7.66 MB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

asma-hachaichi/Classification-with-H2O-AutoML
Prediction of Academic success using the automated machine learning tool : H2O AutoML
Language: Python - Size: 10.5 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

01zhas/LOL-Tier-Prediction
Составление Tier List персонажей игры LoL на основе общей статистики
Language: Jupyter Notebook - Size: 40 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Eva-Kaushik/Fraud-Detection-MLOps
An AI-powered application leveraging machine learning for detecting fraudulent activities in financial transactions with MLOps.
Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

dhamvi01/Classification-with-H20-AutoML
Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: 8 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

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.
Language: Jupyter Notebook - Size: 5.74 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jimhitt/Kaggle_SpaceshipTitanic
Various Jupyter Notebooks for a Kaggle Competition
Language: Jupyter Notebook - Size: 968 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.
Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

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.
Language: Jupyter Notebook - Size: 28.5 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

Mathanraj-Sharma/h2o3-demo
H2O3 example notebooks.
Language: Jupyter Notebook - Size: 836 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 3

dell-datascience/Bank-Customer-Churn-Prediction
Bank Customer Churn Prediction using ANN and H2O Auto ML models
Language: Jupyter Notebook - Size: 563 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Kostas-Pappas/Sentiment-Analysis-of-Samsung-s-Galaxy-and-Apple-s-iPhone-Smartphones
Language: Jupyter Notebook - Size: 240 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

csuoc/Final_project_Uresens
Final project of the Data Analytics bootcamp. Ironhack Barcelona. December 2022
Language: Python - Size: 182 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

fvildoso/databases-trikis
Este proyecto "databases-trikis" es una aplicación que utiliza SQLAlchemy, Redis y H2O.
Language: Python - Size: 3.99 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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
Language: Python - Size: 36 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

HanifaElahi/AutoML
Language: Jupyter Notebook - Size: 22.8 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ashish-kamboj/automl
AutoML Libraries for training multiple ML models in one go with less code.
Language: Python - Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

luisferreira97/autoautoml
Computational experiments for the paper "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost" (IJCNN 2021)
Language: Python - Size: 7.7 GB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 1

codez0mb1e/donald-trump-tweets 📦
Prediction of the Dow Jones index on Donald Trump's tweets
Language: C# - Size: 11.6 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

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
Language: Jupyter Notebook - Size: 9.11 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

akh-04/Brain_Stroke_SHAP_analysis
Interpreting coefficients and results of the following models: 1. Logistic Regression 2. Random Forest 3. AutoML (H2O)
Language: Jupyter Notebook - Size: 1.64 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

vegardhaneberg/TBA4925
Code for the Master's thesis of Mads Rindal and Vegard Haneberg, TBA4925
Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

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
Language: HTML - Size: 106 MB - Last synced at: 5 months ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 1

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).
Language: Python - Size: 167 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

gulabpatel/AutoML
Language: Jupyter Notebook - Size: 2.51 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0

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.
Language: Jupyter Notebook - Size: 60.7 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

michalkurka/h2o-parallel-grid-search-benchmark
Parallel Grid Search benchmark - H2O Machine Learning
Language: R - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 1

SeanPLeary/shapley-values-h2o-example
Shapley Values with H2O AutoML Example (ML Interpretability)
Language: HTML - Size: 5.23 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 16 - Forks: 4

CahyaPutera/NLP-TRAINING
This repo will be updated and will contain all about NLP.
Language: Jupyter Notebook - Size: 230 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

navdeep-G/sdss-h2o-automl
Code & presentation for the 'H2O AutoML' short course at SDSS 2018 in Reston, VA
Language: HTML - Size: 50.7 MB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 4

dhamvi01/Regression-with-H20-AutoML
Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 8 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

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.
Language: Jupyter Notebook - Size: 1.38 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 0

SeanPLeary/unsupervised-anomaly-model-shapley-explanations
An investigation on the use of shapley explanations for unsupervised anomaly-detection models
Language: HTML - Size: 563 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

pchlq/OneTwoTrip_Contest
Contest (boosters.pro)
Language: Jupyter Notebook - Size: 7.29 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

louisowen6/Cross_Selling_Prediction
Predicting the Flight and Hotel Cross Selling in one of the biggest ticketing company in Indonesia
Language: Jupyter Notebook - Size: 2.15 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

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.
Language: R - Size: 63.3 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

prasarma/H2O.ai-AutoML
Machine Learning projects using H2O library.
Language: Jupyter Notebook - Size: 59.6 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

jpacerqueira-zz/DeepLearning-MalwareDetection
Language: Jupyter Notebook - Size: 285 MB - Last synced at: 5 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

mayankskb/H2O-coding
Inches to H2O Practice. Not water but h2o.ai :)
Language: Jupyter Notebook - Size: 147 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Architectshwet/Recruit-Restaurant-Visitor-Forecasting-
Time Series Analysis & Forecasting of Restaurant visitor. EDA, Forecasting with Prophet, arima and h2o auto ml for regression.
Language: R - Size: 13.7 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
