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This repository keeps track of my experience as I learn Deep Learning, implement projects, and find resources online. 🤠(Most of it will use Scikit-Learn, Keras, and Tensorflow)

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hamk3010/DeepLearning

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DeepLearning 🧠

:octocat: In this repository I will put links for Deep Learning/Machine Learning resources that I find online as I learn more about the subject. I will also try to attach a Colab reference on each of my iPython notebooks so the work can be reproduced later. Some examples will come from the books as I use them for reference.

Machine-Learning 🤖

  • ML-Algos covers fundamental machine learning algorithms and provides resources to help you refresh some basic machine learning concepts. If you feel like you require some refreshers on ML it is a good idea to check out ML-Algos which uses Python's Scikit-Learn to cover some essential machine learning concepts.

Books 📕

Online Courses 💻

One good thing about Coursera is they provide a great financial aid application if you can't afford the course make sure you click on their financial aid application. Coursera has a strong financial aid program, so you can essentially get certificates for the entire Deep Learning specialization for cheap.

Coursera's Deep Learning Specialization:

Coursera's Tensorflow Specialization

Udacity's Tensorflow course

Kaggle Kernel References

Bookmarked Notebooks

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This repository keeps track of my experience as I learn Deep Learning, implement projects, and find resources online. 🤠(Most of it will use Scikit-Learn, Keras, and Tensorflow)

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