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1. US-Airline-Twitter-Sentiment-Analysis US-Airline-Twitter-Sentiment-Analysis Public

   Objective: Train a model that will analyze text from a collection of tweets about US Airlines from February 2015, and by identifying negative sentiments, draw business insights regarding the reason…

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2. Plant-Seedling-Image-Classification Plant-Seedling-Image-Classification Public

   Objective: Build a CNN classifier that will be able to accurately predict the species of plant seedling based on an image of that seedling taken from the top.

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3. Bank-Churn-Prediction Bank-Churn-Prediction Public

   Objective: Build a neural network-based classifier that will predict the likelihood of 6-month customer retention based on history of customer data.

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4. Concrete-Compressive-Strength-Prediction Concrete-Compressive-Strength-Prediction Public

   Objective: In order to select the best-performing model, build and compare a variety of regression models to predict the compressive strength of concrete based on a raw data set regarding materials…

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5. Credit-Card-Customer-Analysis Credit-Card-Customer-Analysis Public

   Objective: Identify trends of customer behavior and provide business insights supported by trends in the customer data.

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6. Term-Deposit-Predicitve-Analysis Term-Deposit-Predicitve-Analysis Public

   Objective: Using a bank’s customer data, build and train several machine learning models to predict the probability of a customer to subscribe to a term deposit. Use K-fold cross validation to asse…

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