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Explore the Data Science use cases that demonstrate how the SnapLogic machine learning Snap Packs can help solve complex data problems.

The table below list the use cases.

TitleDescription
Iris Flower ClassificationBuild a model to classify a flower based on the size of its sepal and petal.
Iris Flower Classification using Neural NetworksBuild a model to classify a flower based on the size of its sepal and petal.
Diabetes Progression PredictionBuild a model to predict diabetes progression based on the patient's demographic and serum measurements.
Telco Customer Churn PredictionBuild a model to predict the churn rate of customers based on demographic and subscription history.
Sentiment Analysis Using SnapLogic Data ScienceBuild a sentiment analysis model using review data from Yelp.
Lending Club Loan ApprovalBuild a model to predict the rate at which a loan will be charged-off.
Kickstarter Project Success PredictionBuild a model to predict the success rate of a Kickstarter project based on the project information.
Handwritten Digit RecognitionBuild a convolutional neural networks model to classify handwritten digit.
Image Recognition (Inception-v3)Use Inception-v3 model to identify objects in images.
Natural Language ProcessingUse TextBlob library to perform simple NLP operations.
Speech RecognitionUse the DeepSpeech library to transcribe audio.



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