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1. Recommendations_with_IBM Recommendations_with_IBM Public

   Rank-based, collaborative filtering and matrix factorisation techniques for Recommendation Engine for IBM Watson Studio platform

   HTML 1 3

2. sparkify-capstone sparkify-capstone Public

   Data Analysis in Spark to Identify Customer Churn for a fictional music service(like Spotify)

   Jupyter Notebook 5 3

3. disaster-response-pipeline disaster-response-pipeline Public

   ETL pipeline combined with supervised learning and grid search to classify text messages sent during a disaster event

   Python 16 13

4. data-modeling-apache-cassandra data-modeling-apache-cassandra Public

   Create a NoSQL database in Apache Cassandra and test its working based on the queries provided before hand

   Jupyter Notebook 4 2

5. customer_segments_arvato customer_segments_arvato Public

   Applied unsupervised learning techniques on demographic and spending data for a sample of German households.

   HTML 1

6. PyTorchImageClassifier PyTorchImageClassifier Public

   First implemented the code in Jupyter Notebook and then converted it to a Python application that can be run from the command line

   Jupyter Notebook 1