Courses completed between January 2020 and March 2020. What is Data Science?: The course covered what Data Science is and What Data Scientists Do, and Data Science Topics, and Data Science Business. The course discussed what tools and algorithms data scientists use on a daily basis and what skills are required to be a data […]
IBM Data Science Professional Read More »
Eric Kuck, AI and Data Science Architect March 16, 2020 This month, I am finishing my IBM Data Science series on Coursera, and had to do a final project called a capstone that showcases the skills taught throughout the course series. I’ll share a bit of what I submitted, but more importantly, let’s see how
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The Battle of the Cities – Great Vancouver, Canada Introduction: Business Problem In this project, we will try to find an optimal location for a Korean restaurant in Greater Vancouver, British Columbia, Canada. Vancouver has located on the west coast of Canada and has the highest population density in Canada, with over 5,400 people per square kilometre
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Courses completed between November 2019 and Jan 2020. Machine Learning with Python: This course covered the purpose of Machine Learning and where it applied to the real world and a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms(Regression, Classification, Clustering, Recommender Systems). For the final
IBM AI Engineering Professional Read More »
Courses completed between September 2018 and November 2019. Introduction to Artificial Intelligence(AI): This course covered the fundamentals of Machine Learning, Azure Machine Learning Studio, Text processing, Introduction of Natural Language Processing, Working with Images and Videos, Introduction to Bots, Building Intelligent Bots, and Beyond the Basics. Introduction to Python for Data Science: This course started
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