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Samuel Sinayoko's Projects

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Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

dat4 icon dat4

General Assembly's Data Science course in Washington, DC

dat8 icon dat8

General Assembly's Data Science course in Washington, DC

display_xml icon display_xml

package for distributing a ipython compatible XML displayer

doit icon doit

task management & automation tool

emacs.d icon emacs.d

Private emacs distribution and config

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

kedro icon kedro

A Python library that implements software engineering best-practice for data and ML pipelines.

ml-from-scratch icon ml-from-scratch

Bare bones Python implementations of various Machine Learning models and algorithms.

mpl-altair icon mpl-altair

Matplotlib Backend for Altair Visualization Library

notebooks icon notebooks

Musings and explorations using Jupyter Notebooks.

pandas icon 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

scratch icon scratch

Investigations and playground projects

specplot icon specplot

Beyond Pandas's subplots and Seaborn's FacetGrid: using specplot to vizualize series and dataframes with multiple plotting functions

workshop icon workshop

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

worldcup icon worldcup

Model and predict scores for each game in the world cup

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