This is a collection of projects during the Data Analytics Bootcamp from August 2019 to October 2019. It contains:
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Airbnb web scraping to get the information about available rooms in the specified time periods defining by the user’s inputs (requests library)
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Movie revenues prediction using OLS and random forest (scikit-learn library)
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Customer segmentation using k-means, Gaussian mixture models and agglomerative clustering (scikit-learn library)
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Image classification (cancer detection) using convolutional neural networks (Keras library)
Please open readme.txt in each project for more details about the project purpose, data source, approach and results.