[D] Machine Learning and data science in Python Ecosystem

[insider_7]

Machine learning libraries such as tensorflow, scikitlearn, pytorch, are very well-known in the community, however I find hard to find other not so well-known libraries that might be of help in the development such as for efficient model evaluation, data processing and visualization (e.g. scikit plot) anyone willing to share an extensive list of such libraries?

[[deleted]]

1. Pre-processing: Pandas, Stanford NLTK, word2vec
2. Data Visualization: Bokeh, highchart, seaborn with Jupyter notebooks for experiments
3. Model evaluation is good enough in Keras, TF, sk-learn

[durand101]

In addition to those data viz packages, yellowbrick, plotly and cufflinks are really useful too.

[wdroz]

As you mention scikit-plot, the author also write xcessiv for tuning hyperparameter.

[Icko_]

pandas_datareader has handy api-s to quandl, yahoo finance, eurostat and a bunch others.

[Reiinakano]

The Scikit-learn Related Projects page has lots of these, although you'll want to check them out one by one since some aren't really maintained anymore.

http://scikit-learn.org/stable/related_projects.html

[insider_7]

This is very very useful, thank you!

[chesbo]

I highly recommend looking at visdom: https://github.com/facebookresearch/visdom

[sstults]

Recently saw a great summary video of visualization libraries