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1. Machine-Learning-to-Predict-Car-Prices Machine-Learning-to-Predict-Car-Prices Public

   Supervised machine learning; training multivariate k-Nearest Neighbors models to predict car prices based on numerical features

   Jupyter Notebook

2. Visualizing-the-World-Happiness-Reports-by-Region Visualizing-the-World-Happiness-Reports-by-Region Public

   Applying data visualization techniques; organizing, cleaning, and aggregating data from multiple sources; I determine how much happiness has changed over time in all regions of the world

   Jupyter Notebook 1

3. Interactive-Maps-to-Visualize-Worldwide-Obesity Interactive-Maps-to-Visualize-Worldwide-Obesity Public

   Creating interactive world map visualizations using geopandas and bokeh libraries in python

   Jupyter Notebook

4. Building-a-Spam-Filter-with-Naive-Bayes-Algorithm Building-a-Spam-Filter-with-Naive-Bayes-Algorithm Public

   Applying a multinomial Naive Bayes algorithm to create a spam filter that classifies SMS messages as spam/not-spam

   Jupyter Notebook

5. Finding-the-Best-Markets-in-Which-to-Advertise Finding-the-Best-Markets-in-Which-to-Advertise Public

   Using summary statistics and data visualization in python to determine which global markets to advertise in for an E-Commerce company

   Jupyter Notebook

6. Web-Scraping Web-Scraping Public

   A short demonstration of web scraping techniques in python using the requests library

   Jupyter Notebook