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ann-churndata

Analyzing Data of organization based on number of parameters and finding the probability of whether they will continue the job or leave it.

auto-sklearn

Automated Machine Learning with scikit-learn

auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

aws-big-data-ai-training

Big Data & AI on AWS

boson-dataset

cassandra-starter

deploying cluster on cassandra

cassandra-trainings-scripts

Cassandra trainigs scripts

coin_models

data-science-competitions

Goal of this repo is to provide solutions of all Data Science Competitions.

datasci-strata-talk-missing-data

deap

Distributed Evolutionary Algorithms in Python

deep-learning-boot-camp

A nonprofit community run, 5-day Deep Learning Bootcamp

docker-rstudio-server

Dockerfile for RStudio Server

evol-module

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

fracdiff

Moved Permanently: https://github.com/fracdiff/fracdiff

hadoop-class-deploying

Simple instruction

hadoop-template

Materiały do szkolenia: HADOOP Projektowanie rozwiązań Big Data z wykorzystaniem Apache Hadoop & Family

ifrs9

Develop ifrs9 credit risk provisions

ifrs9v1

The full scope of IFRS 9 Impairment models including PD, LGD and EAD are provided. It also covers ECL, which is the combination of those three parameters as well as staging criteria.

litemort

New gradient boosting library. Faster than LightGBM with same accuracy

lstm-tensorspark

Implementation of a LSTM with TensorFlow and distributed on Apache Spark

mlcourse.ai

Open Machine Learning Course

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

numerai-1

Numer.ai contest submissions using Python, WEKA & Spark

optimizing-acceptance-threshold-in-credit-scoring-using-reinforcement-learning

Research project

oracle_db_ml

pandasdmx

Python interface to SDMX

paper_2019_iml_measures

Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition

publicdb