Experimenting with different datasets
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Data for Air BnB Notebook has been scraped by Tyler Xie from Kaggle - https://www.kaggle.com/tylerx/melbourne-airbnb-open-data#listings_dec18.csv
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Source Data for Heart Disease Prediction Notebook - https://archive.ics.uci.edu/ml/datasets/Heart+Disease
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Data from bank "Credit Card Monthly Spending Prediction" - https://www.kaggle.com/itsmesunil/bank-loan-modelling
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Telco customer churn dataset - https://www.kaggle.com/blastchar/telco-customer-churn
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Hotel reviews dataset - https://www.kaggle.com/jiashenliu/515k-hotel-reviews-data-in-europe
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Black Friday sales dataset - https://www.kaggle.com/mehdidag/black-friday
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Powerlifting database - https://www.openpowerlifting.org/
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US Airline Passenger Satisfaction - https://www.kaggle.com/johndddddd/customer-satisfaction
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Predicting beauty? - https://www.kaggle.com/killbot/linkedin
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Mall Data for clustering analysis - https://www.kaggle.com/vjchoudhary7/customer-segmentation-tutorial-in-python
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Android App Data - https://www.kaggle.com/lava18/google-play-store-apps/downloads/google-play-store-apps.zip/6
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Australian Aged Care Data - https://www.gen-agedcaredata.gov.au
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Supermarket sales - https://www.kaggle.com/aungpyaeap/supermarket-sales
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Sales Optimisation - https://www.kaggle.com/loveall/clicks-conversion-tracking
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Laptop pricing - https://www.kaggle.com/ionaskel/laptop-prices
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Mobile phone pricing - https://www.kaggle.com/iabhishekofficial/mobile-price-classification