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In this project I will look at a dataset of patient data relating to breast cancer, and develop a machine learning model that will aim to predict Malignant tumors with the highest accuracy.
In this project I will analyze disaster messages to build a machine learning model that classifies the messages using a web application so they can be sent to the relevant aid agencies.
This analysis examines website traffic data from 2 web page variations using A/B testing to try to determine which page (if any) performs better with respect to conversions.
In this project, I will develop a deep learning image classifier using Pytorch to recognize different species of flowers - and deploy it in a command line application.
In this project, we will create a deep learning model trained on EHR data (Electronic Health Records) to find suitable patients for testing a new diabetes drug.