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Predictive Models

Bike Sharing Demand Predictor

  • How many bikes will be rented today?

A new kind of bicycle is upon us, whose process from membership to rental has created a market of on-demand healthy transportation. By utilizing data from nearly 500 bicycle-sharing programs, our model lets you predict rider demand for any given day. Give it a try!

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Cleanse Stop Words

  • Filter Out Stop Words

Stop words, such as the, is, and at, are typically filtered before or after processing of natural language data. This app uses R and cloud computing to remove those words from your text bodies so that Machine learning models can analyze them more efficiently.

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Political Party Affiliation Predictor

  • Which political party are you more likely to donate to?

The amount you are willing to donate to a political campaign, be it a president, senator, or local representative, can allow us to predict with near certainty your party affiliation. When taking into account additional factors, such as occupation and state of residence, this becomes even more accurate. Don't believe us? Try it yourself and see if we're wrong.

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Review Rater

  • What was the rating of that review?

Picture this: you have an amazing product but a user forgot to assign a score to their review. Enter our Review Rater, which will analyze the user's text syntax and assign it a proper score on their behalf!

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Text Entity Extractor

  • Extract Entities from your text

Want to classify a paragraph into predefined categories? Our Text Entity Extractor will pull relevant people, places, and things from the body, helping you establish clear meaning from the text without even reading it!

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Titanic Survival Predictor

  • Would you survive the Titanic disaster?

Would you survive the Titanic disaster? Given such information as your gender, age, and accommodation class, we'll be able to figure out your odds of survival from the doomed liner.

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Other Apps

Credit Card Streamer

  • Simulate a credit card stream

This app simulates data streams that banks encounter (e.g. credit card swipe data). It will generate synthetic data from a transaction and push it to a given Azure Event Hub as a JSON. Note: the application logic is written in JavaScript so the speed and interval of the transactions is dependent upon the user device.

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IoT Phone App

  • Turn your phone into an IoT device.

Phones use gyroscope, accelerometer, and magnetometer data to detect its orientation for games, apps, and window orientation. This app will collect the same kind of information a phone app game would, and sends it to an Azure Event Hub.

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Twitter Stream Broker

  • Stream live tweets

The business applications for real-time Twitter data is quite versatile, like tracking tornado damage, high-frequency stock trading, and real-time sentiment analysis by geographic location. This app streams data from a Twitter API directly into an Azure Event Hub.

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