TensorFlow and Deep Learning Tutorials
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Updated
Feb 26, 2018
TensorFlow and Deep Learning Tutorials
AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.
Implement neural networks from scratch with Micrograd. Learn derivatives, neurons, layers, and more through step-by-step Jupyter notebooks
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