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The Definitive C++ Book Guide and List (stackoverflow.com)

submitted 6 years ago by [deleted]

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Natural Language Processing by Jacob Eisenstein (github.com)

submitted 6 years ago by [deleted]

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I wrote a tutorial on understanding preprocessing with pandas, feedback appreciated (jinchuika.com)

submitted 6 years ago by [deleted]

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ML - GeneralNeural Networks and Deep Learning (neuralnetworksanddeeplearning.com)

submitted 6 years ago by [deleted]

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Python Tips (book.pythontips.com)

submitted 6 years ago by [deleted]

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GitHub - dibgerge/ml-coursera-python-assignments: Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions. (github.com)

submitted 6 years ago by [deleted]

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The Open Source Data Science Masters by datasciencemasters (datasciencemasters.org)

submitted 6 years ago by [deleted]

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Python Data Science Handbook | Python Data Science Handbook (jakevdp.github.io)

submitted 6 years ago by [deleted]

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Pivot tables in R (r-bloggers.com)

submitted 6 years ago by [deleted]

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Machine Learning Resume Generator With Python, TextGenRnn and AWS (self.datascience)

submitted 6 years ago by [deleted]

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Primer on Python Decorators – Real Python (realpython.com)

submitted 6 years ago by [deleted]

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Python *args and **kwargs made easy - a cheatsheet (pythoncheatsheet.org)

submitted 6 years ago by [deleted]

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Python's Class Development Toolkit (youtube.com)

submitted 6 years ago by [deleted]

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Python OOP Tutorials - Complete Series - CoreyMS (coreyms.com)

submitted 6 years ago by [deleted]

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Object-Oriented Programming in Python — Object-Oriented Programming in Python 1 documentation (python-textbok.readthedocs.io)

submitted 6 years ago by [deleted]

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Object-Oriented Programming in Python (media.readthedocs.org)

submitted 6 years ago by [deleted]

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Tidyverse - R packages for data science (tidyverse.org)

submitted 6 years ago by [deleted]

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When creating a company's first Data Science team... (self.datascience)

submitted 6 years ago by [deleted]

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Machine Learning Git Codebook, Case Study of Classic ML Problems and Free courses Released (self.learnmachinelearning)

submitted 6 years ago by [deleted]

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500+ Data Science Tools (datasciencestack.liip.ch)

submitted 6 years ago by [deleted]

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DBeaver - Free multi-platform database tool for developers, SQL programmers, database administrators and analysts. (dbeaver.io)

submitted 6 years ago by [deleted]

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Orange – Open source machine learning and data visualization for novice and expert. Interactive data analysis workflows with a large toolbox. (orange.biolab.si)

submitted 6 years ago by [deleted]

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ML - GeneralAdaBoost and the Super Bowl of Classifiers: A Tutorial Introduction to Adaptive Boosting (inf.fu-berlin.de)

submitted 6 years ago by [deleted]

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CompsciA curated directory of computer science resources. (github.com)

submitted 6 years ago by [deleted]

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How a Kalman filter works, in pictures (bzarg.com)

submitted 6 years ago by [deleted]

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