机器学习、深度学习的核心内容 CheatSheet

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Essential Cheat Sheets for Machine Learning and Deep Learning Engineers

Learning machine learning and deep learning is difficult for newbies. As well as deep learning libraries are difficult to understand. I am creating a repository on Github(cheatsheets-ai) with cheat sheets which I collected from different sources. Do visit it and contribute cheat sheets if you have any. Thanks.

  1. Keras
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Source — www.datacamp.com/community/b…

2. Numpy

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Source — www.datacamp.com/community/b…

3. Pandas

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Source — www.datacamp.com/community/b…
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Source — www.datacamp.com/community/b…

4. Scipy

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Source — www.datacamp.com/community/b…

5. Matplotlib

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Source — www.datacamp.com/community/b…

6. Scikit-learn

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Source — www.datacamp.com/community/b…

7. Neural Networks Zoo

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Source — www.asimovinstitute.org/neural-netw…

8. ggplot2

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Source — www.rstudio.com/wp-content/…

9. PySpark

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Source — www.datacamp.com/community/b…

10. R Studio (dplyr and tidyr)

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Source — www.rstudio.com/wp-content/…

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I am a Co-Founder of MateLabs, where we have built Mateverse, a ML Platform which enables everyone to easily build and train Machine Learning Models, without writing a single line of code.

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