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  1. recsys_amazon_platform_AWS recsys_amazon_platform_AWS Public

    A recommender system platform for amazon products, using flask, sqlalchemy, PlanOut and surprise. Easy deployment on AWS RDS and Elastic Beanstalk

    Python 1

  2. Machine_learning_kaggle_clicks Machine_learning_kaggle_clicks Public

    Machine Learning to predict whether a mobile ad will be clicked

  3. Real-Time-Twitter-AWS-Python Real-Time-Twitter-AWS-Python Public

    Easy Setup for Real-Time Stream processing from the Twitter API, using Python, AWS Kinesis, Firehose and DynamoDB

    Jupyter Notebook 7 7

  4. nabeeltariq2.github.io nabeeltariq2.github.io Public

    My profile

  5. recsys_amazon_recommender_algexp recsys_amazon_recommender_algexp Public

    Testing out different Recommender algorithms on Amazon Reviews Dataset. Includes content-based, C.F., Restricted Boltzmann Machines and Factorization Machines in Tensorflow

    Jupyter Notebook

  6. Spark_classification Spark_classification Public

    Survival Prediction on the titanic dataset using Pyspark

    Python