Pinned

1. Recommendations_with_IBM

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

   HTML 1 3

2. sparkify-capstone

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

   Jupyter Notebook 2 2

3. disaster-response-pipeline

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

   Python 11 10

4. data-modeling-apache-cassandra

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

   Jupyter Notebook 2 1

5. customer_segments_arvato

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

   HTML 1

6. PyTorchImageClassifier

   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