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A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Actively curated list of awesome BI tools. PRs welcome!
Provide an input CSV and a target field to predict, generate a model + code to run it.
Data Apps & Dashboards for Python. No JavaScript Required.
A bunch of shiny modules that let shiny sense the world around it.
🌎 machine learning tutorials (mainly in Python3)
High-level geospatial data visualization library for Python.
How to implement scrollytelling with six different libraries
A dashboard of key metrics for the USA
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Opportunities to help deliver simpler, clearer, faster digital services for everyone in California.
Python Data Science Handbook: full text in Jupyter Notebooks
💫 Industrial-strength Natural Language Processing (NLP) in Python
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
📙 Amazon Web Services — a practical guide
A complete daily plan for studying to become a machine learning engineer.
ellisonbg / altair
Forked from vega/altairDeclarative statistical visualization library for Python
Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Use Pentaho's open source data integration tool (Kettle) to create Extract-Transform-Load (ETL) processes to update a Socrata open data portal. Documentation is available at http:https://open-data-etl-ut…
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Slides for Data Science with Small Teams talk
An open-source data science project about rainfall in Chicago
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media