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A tutorial demonstrating how to implement deep learning models for time series forecasting
Apuntes personales sobre estadística, machine learning y lenguaje de programación R
Implementation of a paper in q/KDB+ and python - "Forecasting ETFs with Machine Learning Algorithms" - Jim Kyung-Soo Liew and Boris Mayster
Plotting Assignment 1 for Exploratory Data Analysis
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
Forecasting lectures and tutorials using Python
Forecast Rossmann Store Sales
Genpact ML hackathon 2018 hosted on Analytics Vidhya. Food demand forecasting - 79th rank solution
Focus on collecting and cleaning data for downstream analysis and sharing.
Coursera GaCD
R package that extends ggplot2
Tutorials and training material for the H2O Machine Learning Platform
Implement your own deep learning models from scratch with Tensorflow 2.0
Demand Forecasting Models for Kaggle competition
Global Energy Forecasting Competition 2012 - Load Forecasting
Grupo Bimbo Kaggle Sales Forecast Competition
Exciting Kaggle Project - Rossman Stores
Solution for Kaggle Rossmann Store Sales Competition
Predicting sales with Pandas
Kagge.com - Forecast sales using store, promotion, and competitor data
kaggle walmart-recruiting-sales-in-stormy-weather
Weather analysis with weatherData R package analysis for Rossmann contest on Kaggle
Santander Product Recommendation competition on Kaggle
R code for Kaggle's Walmart Recruiting - Store Sales Forecasting
The slides of our Budapest Data Projects Meetup talk from 25th Febr
Advanced High Performance Data Science Toolbox for R by Laurae
Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle
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.