Sometimes starting from the ground may take much time to accomplish your things. Boiler plate code or a Github project repo may speed up your things. Here are the machine learning repositories listed that may help you.
To learn languages based on projects.
Github:
https://github.com/tuvtran/project-based-learning
Python Machine Learning Book
Github:
https://github.com/rasbt/python-machine-learning-book
Coding Practice and Algorithms
Github:
https://github.com/jwasham/coding-interview-university
What every programmer should know
Github:
https://github.com/mtdvio/every-programmer-should-know
Awesome public datasets
Github: https://github.com/awesomedata/awesome-public-datasets
Awesome Machine Learning
Github: https://github.com/josephmisiti/awesome-machine-learning
Awesome Deep Vision
Github: https://github.com/kjw0612/awesome-deep-vision
Awesome tensorflow
Github:
https://github.com/jtoy/awesome-tensorflow
Awesome Project Ideas
Github: https://github.com/NirantK/awesome-project-ideas
Awesome NLP
Github: https://github.com/keon/awesome-nlp
Best of Jupyter
Github: https://github.com/NirantK/best-of-jupyter
Deep Learning paper reading roadmap
Github: https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap
Paper to Code
Github: https://github.com/zziz/pwc
Reinforcement Learning
Github: https://github.com/dennybritz/reinforcement-learning
Google dataset search
Link:
https://t.co/iXFwNCDaUN
Best Practices for ML Engineering
Link: http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf
List of Tutorials - Medium Article
Link: https://medium.com/machine-learning-in-practice/over-200-of-the-best-machine-learning-nlp-and-python-tutorials-2018-edition-dd8cf53cb7dc
Awesome list of people and blogs to follow to keep yourself updated in the field
Link: https://medium.com/@alexrachnog/ultimate-following-list-to-keep-updated-in-artificial-intelligence-32776ffcd079
Google's guide to Machine Learning
Link: https://techdevguide.withgoogle.com/paths/machine-learning/
Thanks for reading....
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