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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 6 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