Build a Neural Network from Scratch with Python

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I am very pleased to introduce the presenter for our Wed. Dec. 6 Meetup -

Ahmed Sherif has been working with data in various roles for over 10 years. He got his start with business intelligence solutions and later transitioned to data science in 2013. In 2016 he competed a Masters in Predictive Analytics from Northwestern University, where he focused on machine learning and predictive modeling techniques using Python, R, and SAS. As a data scientist, Ahmed strives to fuse predictive capabilities into business intelligence solutions so that organizations can better leverage their data to understand the past as well as the future. Lately, Ahmed has been developing Machine Learning and Deep Learning solutions in Google Cloud and Microsoft Azure. In 2016, Ahmed published his first book, Practical Business Intelligence.

Ahmed will demonstrate the power of Python. He will pull columns from a popular dataset and then try and guess the outcome based on parameters we select and then watch the neural network correct itself through backpropagation. For example, knowing the height and weight of a group of people, could we predict the outcome of the gender.