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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
License: Apache License 2.0
Jupyter Notebook 99.96%
Dockerfile 0.01%
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handson-ml2's Introduction
๐ญ Iโm currently working on Myself :D
๐ฑ Iโm currently learning everything about data science
โก Fun fact: I don't like front-end stuff
Best read & recommended Tech Books:
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow : oreilly.com/hands-on-machine-learning ,
Statistical Computing with R : amazon.de/-/en/Maria-L-Rizzo/dp/1466553324 ,
Spring in Action : manning.com/books/spring-in-action-sixth-edition ,
Python for Data Analysis : oreilly.com/python-for-data ,
Effective Java : amazon.de/-/en/Joshua-Bloch/dp/0134685997 ,
Pro Git : amazon.de/-/en/Scott-Chacon/dp/1484200772 ,
EJB 3 in Action : https://www.amazon.de/EJB-3-Action-Debu-Panda/dp/1933988347 ,
Head First Design Patterns (A Brain Friendly Guide) : amazon.de/-/en/Eric-Freeman/dp/0596007124 ,
๐งฐ Languages and Tools:
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