Pinned Repositories
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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
General Assembly's Data Science course in Washington, DC
DAT8
General Assembly's Data Science course in Washington, DC
display_xml
package for distributing a ipython compatible XML displayer
doit
task management & automation tool
kaggle-housing-prices
Exploring the Kaggle housing prices competition
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
samuelsinayoko's Repositories
samuelsinayoko/kaggle-housing-prices
Exploring the Kaggle housing prices competition
samuelsinayoko/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
samuelsinayoko/arrow
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.
samuelsinayoko/DAT4
General Assembly's Data Science course in Washington, DC
samuelsinayoko/DAT8
General Assembly's Data Science course in Washington, DC
samuelsinayoko/display_xml
package for distributing a ipython compatible XML displayer
samuelsinayoko/doit
task management & automation tool
samuelsinayoko/doom
Doom Emacs config
samuelsinayoko/emacs.d
Private emacs distribution and config
samuelsinayoko/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.
samuelsinayoko/hello_nbdev
nbdev tutorial
samuelsinayoko/jupyter-notebook-slides
samuelsinayoko/kedro
A Python library that implements software engineering best-practice for data and ML pipelines.
samuelsinayoko/marshmallow-attrs
Marshmallow-serialization for attrs classes
samuelsinayoko/ML-From-Scratch
Bare bones Python implementations of various Machine Learning models and algorithms.
samuelsinayoko/mpl-altair
Matplotlib Backend for Altair Visualization Library
samuelsinayoko/nand2tetris
samuelsinayoko/notebooks
Musings and explorations using Jupyter Notebooks.
samuelsinayoko/pandas-string
Pandas ExtensionDType/Array for Strings
samuelsinayoko/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
samuelsinayoko/pysystemtrade
Systematic Trading in python
samuelsinayoko/python-web-pdb
Web-based remote UI for Python's PDB debugger
samuelsinayoko/samuelsinayoko.github.io
Personnal website.
samuelsinayoko/scratch
Investigations and playground projects
samuelsinayoko/specplot
Beyond Pandas's subplots and Seaborn's FacetGrid: using specplot to vizualize series and dataframes with multiple plotting functions
samuelsinayoko/sphinx_rtd_theme
Sphinx theme for readthedocs.org
samuelsinayoko/Useful-python
Python code and notebooks for reference
samuelsinayoko/workshop
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
samuelsinayoko/worldcup
Model and predict scores for each game in the world cup