Name: Data Science from Scratch: Part 1 NumPy Recreation
Start: 2017-08-15T18:30:00-05:00
End: 2017-08-15T20:30:00-05:00
Location: Station Houston

Data Science from Scratch (https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X/) is a book that teaches you how to programmatically implement many of the popular machine learning algorithms with just the raw building blocks of Python. None of the popular third party libraries like NumPy, pandas, statsmodels or scikit-learn are used in this book. Writing all the code from scratch can help you get a deeper understanding of what is actually taking place behind the scenes.

In part one of this series, we will build an array object to mimic the functionality of NumPy's powerful n-dimensional array. We will learn how to take advantage of the Python data model to make our object interact with many different operators and built-in functions.

We will then use our own array object to do vector algebra and calculate basic statistics.

Bring your laptops. This meetup will rotate from instructor guided lectures to student-centered exercises. You will need to know the fundamentals of Python to get the most out of this meetup. Additionally, exposure to object oriented programming and magic methods will help.

Finding Station Houston: (http://stationhouston.com/contact/) Located on the 24th floor. The main entrance is on Polk between San Jacinto and Fannin. Press a small button to the left of the doors and security will let you in.

Teddy Petrou

Houston Data Science

Technology

Data Science

Machine Learning

Data Science using Python

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Deep Learning

Artificial Intelligence

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Data Science from Scratch: Part 1 NumPy Recreation

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Data Science from Scratch: Part 1 NumPy Recreation

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