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100-days-of-ml-code

A repository dedicated to the #100DaysOfMLCode challenge

andrew_machine_learning_r

This repository, which is work in progress, contains R versions of Andrew Ng's Machine Learning programing exercies.

anomalydetection

Anomaly Detection with R

arima

Demand Forecasting - ARIMA model for forecasting demand

awesome-crawler

A collection of awesome web crawler,spider in different languages

bike-sharing-demand

Forecast use of a city bikeshare system

bike-sharing-demand-forecasting

Capital Bikeshare Demand Forecasting

cash-demand-forecasting

cash demand forecasting from ATMs

chart.js

Simple HTML5 Charts using the <canvas> tag

cortana-intelligence-energy-demand-forecasting

Energy industry solutions using the Cortana Intelligence Suite with end-to-end walkthrough.

cross-language-dataset

A multilingual, multi-style and multi-granularity dataset for cross-language textual similarity detection

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

d3map_bars

A map made with D3.js and TopoJSON.

data-science-your-way

Ways of doing Data Science Engineering and Machine Learning in R and Python

datamaid

An R package for data cleaning

demandforecasting

Decision Support System at Fuji food services

demandforecasting-1

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

driven-data-hackathon-

Online Data Science Competition on Driven Data website

echarts

ECharts is a state machine-based programming language for event-driven systems derived from the standardized UML Statecharts language. ECharts distinguishes itself from other Statecharts dialects by focussing on implementation issues such as determinism and code re-use. ECharts is a hosted language which means that it is dependent on an underlying programming language such as Java.

ethlist

The Comprehensive Ethereum Reading List

food-amenities-demand-prediction

Predicting the demand of food amenities using LSTM and 3-layer neural network.

forcasting-sample-code

Rudimentary forecasting techniques in R for 10 sample time series

forecast

forecast package for R

forecasting-in-r

forecasting_in_r

forecastinr

Forecast using neural networks in R

fts_commute_visualizer

Visualize commute times based on travel mode and traffic

introtimeseriesforecasting

Public repo for the YouTube series "Introduction to Time Series Forecasting with R".

invent-prediction

Model to accurately forecast inventory demand based on historical sales data.