Topic: h2o-automl Goto Github
Some thing interesting about h2o-automl
Some thing interesting about h2o-automl
h2o-automl,Составление Tier List персонажей игры LoL на основе общей статистики
User: 01zhas
h2o-automl,Interpreting coefficients and results of the following models: 1. Logistic Regression 2. Random Forest 3. AutoML (H2O)
User: akh-04
h2o-automl,Using a stack of powerful tools to build an End-to-End AutoML pipeline for insurance cross-sell prediction
User: aminbenmansour
h2o-automl,Time Series Analysis & Forecasting of Restaurant visitor. EDA, Forecasting with Prophet, arima and h2o auto ml for regression.
User: architectshwet
h2o-automl,AutoML Libraries for training multiple ML models in one go with less code.
User: ashish-kamboj
h2o-automl,This repository has all data science machine learning projects.
User: ashmitan
h2o-automl,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.
User: baotramduong
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.
User: baotramduong
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.
User: baotramduong
h2o-automl,Build your own Recommendation Systems !!!
User: bchryzal
h2o-automl,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.
User: berksudan
h2o-automl,This notebook is designed to interactively guide the user through an end-to-end process for deploying an automated machine learning workflow utilizing h2o.ai's autoML function. The user is simply required to select a dataset and choose a variable they would like to predict before running the automation. The user can choose to run the automation with default parameters or override those parameters following the input prompts embedded in this notebook. This workflow is designed for all modelers - new and experienced - who are looking to leverage automated machine learning methods in their work.
User: bradblanch
h2o-automl,This repo will be updated and will contain all about NLP.
User: cahyaputera
h2o-automl,Prediction of the Dow Jones index on Donald Trump's tweets
User: codez0mb1e
Home Page: http://0xcode.in/auto-ml-intro
h2o-automl,Final project of the Data Analytics bootcamp. Ironhack Barcelona. December 2022
User: csuoc
h2o-automl,Bank Customer Churn Prediction using ANN and H2O Auto ML models
User: dell-datascience
h2o-automl,A directory of common utilities and use cases, implemented in Python
User: dutta-sd
h2o-automl,Energy usage prediction with H2O AutoML
User: elyorman
h2o-automl,An AI-powered application leveraging machine learning for detecting fraudulent activities in financial transactions with MLOps.
User: eva-kaushik
h2o-automl,Este proyecto "databases-trikis" es una aplicación que utiliza SQLAlchemy, Redis y H2O.
User: fvildoso
h2o-automl,This is an end-to-end network intrusion detection model with H2O AutoML, Mlflow, Streamlit, and FastAPI which can classify network activities as normal or anomalous
User: gersongerardcruz
h2o-automl,
User: gulabpatel
h2o-automl,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.
Organization: h2oai
Home Page: http://h2o.ai
h2o-automl,Wave App for H2O AutoML
Organization: h2oai
Home Page: https://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html
h2o-automl,
User: hanifaelahi
h2o-automl,Various Jupyter Notebooks for a Kaggle Competition
User: jimhitt
Home Page: https://www.kaggle.com/competitions/spaceship-titanic/overview
h2o-automl,Transformation of Akamai Logs with Spark ETL and discover of Values and similarities in logs used SparkML and H2O ML
User: jpacerqueira-zz
h2o-automl,An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
User: kennethleungty
h2o-automl,Predicting the Flight and Hotel Cross Selling in one of the biggest ticketing company in Indonesia
User: louisowen6
h2o-automl,Computational experiments for the paper "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost" (IJCNN 2021)
User: luisferreira97
Home Page: https://ieeexplore.ieee.org/document/9534091
h2o-automl,H2O3 example notebooks.
User: mathanraj-sharma
h2o-automl,Inches to H2O Practice. Not water but h2o.ai :)
User: mayankskb
h2o-automl,Parallel Grid Search benchmark - H2O Machine Learning
User: michalkurka
h2o-automl,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.
User: muskanraisinghani23
h2o-automl,Code & presentation for the 'H2O AutoML' short course at SDSS 2018 in Reston, VA
User: navdeep-g
h2o-automl,Contest (boosters.pro)
User: pchlq
Home Page: https://boosters.pro/championship/onetwotrip_challenge/overview
h2o-automl,Machine Learning projects using H2O library.
User: prasarma
h2o-automl,Shapley Values with H2O AutoML Example (ML Interpretability)
User: seanpleary
h2o-automl,An investigation on the use of shapley explanations for unsupervised anomaly-detection models
User: seanpleary
h2o-automl,Use MLflow to make a pipeline of data preprocessing, machine learning, and predicting. Can do mlflow serving using docker in docker (dind).
Organization: tre-xanh
h2o-automl,Code for the Master's thesis of Mads Rindal and Vegard Haneberg, TBA4925
User: vegardhaneberg
h2o-automl,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.
User: wajdibensaad
h2o-automl,Files for compiling my presentation about H2O.ai.
User: williamrappel98
h2o-automl,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.
User: xavierkamp
h2o-automl,Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application
User: zuliani99
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