Peter Le peterle93

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

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

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

   Jupyter Notebook 1