account groupicon_account_group_smallShapeleft arrowlong left arrowright arrowbinocularsbook open 3.3.3.1 2222Open Book Iconbook open 4.3.3.1Open Book with Words iconicon_browser_talkbrowser windowicon_browser_window_smallIcon / Digital Businessicon_cloud_outlineicon_cog_bulbcompatible devices 2.3.3.1computer media.3.3.1icon_credit_cardscompatible devices 2.3.3.1icon_envelopesFacebookIcon / Digital BusinessIcon / Product Engineeringicon_graph_baricon_graph_bar_smallgraph line 2.3.3.1account group 3.3.3.1icon_heart_handshakeInstagramlayout 8.3.3.1LinkedInPage 1 Copy 2mobile phone portrait.3.3.1Mobile Phone (iPhone) iconIcon / Digital BusinessOutline_Icons_1_network.6.3.1icon_network_circlenewsletter iconOutline_Icons_1_account group 1.3.3.1Presentation IconProduct Iconquote 1.2.3.1quote 1.2.3.1 copyregister machine.3.3.1shopping cart 4.3.3.1Twittervideo clip 1.3.3.1Video player iconGroupGroup 2

Capital Bikeshare

Machine learning

Products

Timeframe

5 weeks

Tags

product, emergingtech, web

Links

Read Our Lab Notes, View Solution

Challenge

We wanted to explore uses for machine learning, so we decided to create a tool to predict availability of Capital Bikeshare stations depending on location, time of day, and weather.

Solution

We used the large amount of trip data DC's Capital Bikeshare has made available to the public, combined with other historical data, and applied statistical methods. To increase accuracy, we added weather data to the learning system.

Blog Posts

Results

We quickly built a web page and a REST API that collects user input and displays predictions for the given location, date, and time. Next, we decided to add a conversational interface so we can access the API using natural language. We also added a Slack bot integration so that users can access the solution right in the chat window.

Our Latest Projects

Chatbots

Our interns explored creating a chatbot using IBM's Watson API to onboard new employees and answer their employment and HR-related questions.

Read Our Lab Notes

Predicting Demographics Using Machine Learning

We tried to predict the gender of celebrities using the IMDB-WIKI project and machine learning.

Read Our Lab Notes
No results match this filter.

We use cookies to deliver the best possible experience on our website. To learn more, visit our privacy policy. By continuing to use this site, you consent to our use of cookies.

Accept