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1. Disaster-Response-Pipeline Disaster-Response-Pipeline Public

   Created a natural language processing (NLP) machine learning pipeline to categorize real user emergency messages according to the needs communicated by the sender.

   Jupyter Notebook 1

2. Recommendations-with-IBM Recommendations-with-IBM Public

   Developed recommendation algorithm for the IBM Watson Studio platform to provide personalized results on data science related topics, assessing articles that new users may most likely be interested…

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3. Customer-Churn-Prediction-with-Spark Customer-Churn-Prediction-with-Spark Public

   Manipulates customer data using Spark to perform data exploratory analysis, and build predictive machine learning models of the customer churn.

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4. Toronto-Airbnb-Analysis Toronto-Airbnb-Analysis Public

   Analyses the Toronto Airbnb dataset from Sept 2020. Performs exploratory analysis and builds a predictive machine learning model to predict the most important features that impact Airbnb listings

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5. Peter_Portfolio Peter_Portfolio Public

   A portfolio of my recent Data Science projects, and more about myself. Still a work in progress!

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6. Capstone-Project-Battle-of-Neighborhoods Capstone-Project-Battle-of-Neighborhoods Public

   Examines Toronto neighborhood dataset to locate the ideal place to live in using machine learning algorithm - K-means cluster.

   Jupyter Notebook 1