stellamatata

stellamatata

Geek Repo

Github PK Tool:Github PK Tool

stellamatata's starred repositories

mob

Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development

Language:RStargazers:60Issues:0Issues:0

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:25111Issues:0Issues:0

scikit-learn

scikit-learn: machine learning in Python

Language:PythonLicense:NOASSERTIONStargazers:2Issues:0Issues:0

PythonDataScienceHandbook

Jupyter Notebooks for the Python Data Science Handbook

Language:Jupyter NotebookLicense:MITStargazers:5Issues:0Issues:0

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

Language:Jupyter NotebookStargazers:1472Issues:0Issues:0

Python-first-Practice

Only use 3 days to get the basic concept of Python (Chinese Version | Data Scientist Direction)

Language:PythonLicense:MITStargazers:490Issues:0Issues:0

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

Language:Jupyter NotebookLicense:MITStargazers:1Issues:0Issues:0

data.table

R's data.table package extends data.frame:

Language:RLicense:MPL-2.0Stargazers:3514Issues:0Issues:0

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

License:MITStargazers:17197Issues:0Issues:0

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 NotebookLicense:Apache-2.0Stargazers:6776Issues:0Issues:0

awesome-R

A curated list of awesome R packages, frameworks and software.

Language:RStargazers:5865Issues:0Issues:0

ExploreModels

Code and data for "The Geometry of Classifiers"

Language:RLicense:GPL-3.0Stargazers:26Issues:0Issues:0
Language:RStargazers:18Issues:0Issues:0

120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

Stargazers:3601Issues:0Issues:0

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Language:C++License:MITStargazers:16316Issues:0Issues:0

FreeML

A List of Data Science/Machine Learning Resources (Mostly Free)

Stargazers:1098Issues:0Issues:0

breakDown

Model Agnostics breakDown plots

Language:RStargazers:102Issues:0Issues:0

DALEX

moDel Agnostic Language for Exploration and eXplanation

Language:PythonLicense:GPL-3.0Stargazers:1345Issues:0Issues:0

xgboostExplainer

An R package that makes xgboost models fully interpretable

Language:RLicense:GPL-3.0Stargazers:247Issues:0Issues:0

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

Language:RStargazers:1596Issues:0Issues:0

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Language:C++License:Apache-2.0Stargazers:25753Issues:0Issues:0

acceleratoRs

Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains

Language:HTMLLicense:MITStargazers:145Issues:0Issues:0