In this workshop, we'll be going over everything machine learning. Machine learning is the study of writing programs that get better at solving problems with experience. We'll be using scikit-learn and Tensorflow to apply machine learning to problems like recognizing hand-written symbols, estimating housing prices, predicting stock prices, and identifying fake news.
If you're just getting started out, be sure to check out our introductory sections:
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Intro to scikit-learn - How to use
sklearn's regressions to quickly solve ML problems! -
Intro to Neural Networks - A primer on what neural networks are, how they work, and how they're built!
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Advanced Neural Networks - Going more in depth on topics involving neural networks!
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Intro to Tensorflow - How to use Tensorflow to build and apply neural networks!
If you're feeling comfortable, check out our more project-focused sections:
- Housing Price Prediction with Machine Learning - Applying scikit-learn and Tensorflow to predict housing prices given statistics about the area!
- Stock Price Prediction - Using scikit-learn to predict stock prices based on news language!
- Fake News Detection with Tensorflow - Using Tensorflow to identify fake news!
We hope you enjoyed the workshop! Let us know any feedback you have here.