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amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

aws-cheatsheet

This is an AWS Cheatsheet that I have prepared that covers the Solutions Architect Associate Exam Topics. Feel free to use it.

beakerx

Beaker Extensions for Jupyter Notebook

beeswax-api

Beeswax API for custom bidders

bidding-machine-learning-adops

bidding-models-for-dsps

These are the Pythonic Bidding Models that are developed for Beeswax bidding models.

bisttopstocks

The top companies of the BIST100 Turkish Stock Exchange and their stock prices in .csv form, pulled from investing.com. Feel free to use it!

bqplot

Plotting library for IPython/Jupyter Notebooks

brainjs_examples

Some examples of simple machine learning using Brain.js

chart.js

Simple HTML5 Charts using the <canvas> tag

chrome-plugin

Under Development

cookbook

The Data Engineering Cookbook

cortex

Deploy machine learning models in production

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

d3.js-graph-network

a D3 implementation of a graph network.

data-engineering-howto

A list of useful resources to learn Data Engineering from scratch

data-science--cheat-sheet

Cheat Sheets

dbeaver

Free universal database tool and SQL client

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

first-contributions

🚀✨ Help beginners to contribute to open source projects

gdpr-network-graph

genetic-algorithm

Genetic algorithm tutorial for Python

gis---google-maps-api-bokeh

go

The Open Source Data Science Masters

graph-theory-networkx-pyvis

great_expectations

Always know what to expect from your data.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

haskell

Haskell bindings for TensorFlow

interesting-alpha

Various positive alpha trading strategies. Pythonic scripts.

japronto

Screaming-fast Python 3.5+ HTTP toolkit integrated with pipelining HTTP server based on uvloop and picohttpparser.