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1. creating-customer-segmentscreating-customer-segmentsPublic

   Apply unsupervised machine learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data

   Jupyter Notebook 1

2. finding-donors-for-charityfinding-donors-for-charityPublic

   Apply supervised machine learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate…

   Jupyter Notebook 1 7

3. red-wines-edared-wines-edaPublic

   Red Wines quality exploration using R

4. wrangle-analyze-weratedogs-twitterwrangle-analyze-weratedogs-twitterPublic

   Use Python to perform Data Wrangling (gathering, assessing, cleaning) of WeRateDogs Twitter account & archive, followed by storing, analyzing and visualizing the wrangled data.

   Jupyter Notebook 2 6

5. k-means-clustering-movie-ratingsk-means-clustering-movie-ratingsPublic

   Explore the similarities and differences in people's tastes in movies based on how they rate different movies. Can understanding these ratings contribute to a movie recommendation system for users?…

   Jupyter Notebook 31 22

6. naive-bayes-sms-spam-classifiernaive-bayes-sms-spam-classifierPublic

   Use the Naive Bayes algorithm to create a model that can classify dataset (https://archive.ics.uci.edu/ml/datasets/SMS+Spam+Collection) SMS messages as spam or not spam

   Jupyter Notebook 1 1