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1. creating-customer-segments creating-customer-segments Public

   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-charity finding-donors-for-charity Public

   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 6

3. red-wines-eda red-wines-eda Public

   Red Wines quality exploration using R

4. wrangle-analyze-weratedogs-twitter wrangle-analyze-weratedogs-twitter Public

   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-ratings k-means-clustering-movie-ratings Public

   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 21

6. naive-bayes-sms-spam-classifier naive-bayes-sms-spam-classifier Public

   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 2 1