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1. Visualizing_Covid_19_Data Visualizing_Covid_19_Data Public

   Visualizing Covid 19 cases:you will visualize COVID-19 data from the first several weeks of the outbreak to see at what point this virus became a global pandemic

   Jupyter Notebook

2. Failed-order-analysis-of-Gett-cab-app Failed-order-analysis-of-Gett-cab-app Public

   Investigating some matching metrics for orders that did not completed successfully, i.e., the customer didn't end up getting a car of Gett

   Jupyter Notebook

3. Target-Marketing-using-Logistic-Regression Target-Marketing-using-Logistic-Regression Public

   This exercise focuses on the classic scoring activity (regularly carried out for customer acquisition). The firm in question is a CD club.

   Jupyter Notebook

4. K-means-Clustering-on-HubwayTrips-Dataset K-means-Clustering-on-HubwayTrips-Dataset Public

   Clustering to find customer segment of the Boston based ride sharing program Hubway

5. United-Nations-Voting-Dataset-Exploration United-Nations-Voting-Dataset-Exploration Public

   Using data manipulation and visualisation to explore historical voting of the United Nations General Assembly

6. Querying-messy-data-using-SQL Querying-messy-data-using-SQL Public

   To get a hands-on experience with real-life messy data, I chose to work with food and nutrient data available on FoodData Central. I wanted to compare nutrients across different types of foods avai…