Common Machine learning algorithms implemented in python from scratch and by using libraries.
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Scratch: ML algorithms implemented by using basic python. Great to build fundamentals.
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Libraries: ML algorithms implemeted by using sophisticated libraries. Great to build efficient and accurate models that are ready to deploy.
After learning the basic implementation, it is always great to apply our learning to real life problems. Hence we will build projects that solidify our concepts and understand the application of ML.
- Add more algorithms implemented from scratch.
- Add examples for tensorflow and pytorch implementations