crackend Goto Github PK
Type: User
Type: User
Adaptive Neural Trees
ARIMA forecasts on the AirPassengers dataset built in Python and Tableau
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.
A collection of research papers on decision, classification and regression trees with implementations.
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome machine learning interpretability resources.
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Comparison tools
Using a variety of machine learning techniques to predict sales of Rossman's stores
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Repo for Coursera.com online course: Getting and Cleaning Data
Notes from the R programming Coursera course
Curso básico en Español de minería de datos usando Python
Data for the HarvardX courses: PH525x
Daily Stock Forecasts using Machine Learning & Python
Descriptive mAchine Learning EXplanations
Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
Cheat Sheets
Automate Data Exploration and Treatment
a curated list of R tutorials for Data Science, NLP and Machine Learning
The Leek group guide to data sharing
Traducción al español de los datasets utilizados en el libro "R para Ciencia de Datos"
The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
The repository of the book: Deep Learning with Python by Francois Chollet
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.