You can even run the demo on your phone! 📱 Clicking the link opens a Jupyter Binder in your browser where you can run the code in an interactive enviroment without installing or downloading anything 🎉. Please give it a few minutes to boot up.⏱️
- Learn what machine learning is, and how its used.
- Become comfortable with many commonly heard terms of machine learning at a high level (more concept, less math)
- forward propogation
- activation function
- loss function
- learning rate
- gradient decent
- backwards propagation
- batches
- epochs
- Start using some of the tools for Neural Network programming (sklearn, some helpful datascience packages like numpy, pandas, seaborn)
- Build a predictive (regression and classification) ML model using sklearn and interpret the output
While the binder is so convienent, there are a few limitations including slower computation speed. If you would like to run on your own machine, I have some instructions in docs/installation.md. If you have done this type of thing before, you know what to do with the requirements.txt file. 😉