Python program utilizing H2O to predict credit approval using the Naïve Bayes Classifier.
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Updated
Jan 8, 2020 - Python
Python program utilizing H2O to predict credit approval using the Naïve Bayes Classifier.
Automatically determine trends, correlations, and feature selections given dataset(s)
Prometheus Scraper for and Coin Analysis of crypto from coinmarketcap
It's a notification for your daily water intake with amazing water factz..
Prediction of Academic success using the automated machine learning tool : H2O AutoML
Utilities to use google/quic-trace with `h2olog quic` logs
Yet - Another - Auto - ML
DayF (Decision at your Fingertips) is an AutoML opensource project
This my entry for the Titanic competition on Kaggle. May 2019: public score is 0.80382, which is a top 10% ranking on the leader board of around 11.249 participants.
Verteego Data Suite documentation
This repo contains various data science strategy and machine learning models to deal with structure as well as unstructured data. It contains module on feature-preprocessing, feature-engineering, machine-learning-models, bayesian-parameter-tuning, etc, built using libraries such as scikit-learn, keras, h2o, xgboost, lightgbm, catboost, etc.
A machine learning approach to soil moisture estimation using NASA's CYGNSS data.
Benchmark of current ML automation frameworks
D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.
NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
A curated list of gradient boosting research papers with implementations.
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