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We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.

We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.

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We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.

We used to use the popular Flux, Knet, MLBase, and Plots packages for Machine Learning in Julia.

But, now we have to get used to Python's library of Machine Learning packages: tensorflow, numpy, matplotlib, and finally pandas

But, now we have to get used to Python's library of Machine Learning packages: tensorflow, numpy, matplotlib, and finally pandas

But, now we have to get used to Python's library of Machine Learning packages: tensorflow, numpy, matplotlib, and finally pandas

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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
But, now we have to get used to Python's library of Machine Learning packages: tensorflow, numpy, matplotlib, and finally pandas
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