barlaston (sdforce)

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barlaston's repositories

or-gym

Environments for OR and RL Research

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deeplearning.ai

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

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ND-Pyomo-Cookbook

A repository of Pyomo examples.

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AZ-900T0x-MicrosoftAzureFundamentals

Microsoft Azure Fundamentals - AZ-900T00 and AZ-900T01

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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.

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spark-nlp

State of the Art Natural Language Processing

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ml-workshop-4-of-4

Advanced Machine Learning with Scikit-learn part II

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ml-workshop-3-of-4

Advanced Machine Learning with Scikit-learn part I

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ml-workshop-1-of-4

Introduction to Machine learning with Python, 4h interactive workshop

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scikit-learn

scikit-learn: machine learning in Python

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easyagents

Reinforcement Learning for Practitioners.

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spark-nlp-workshop

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

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Network-Analysis-Made-Simple

For PyCon, PyData, ODSC, and beyond!

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gluon-ts

GluonTS - Probabilistic Time Series Modeling in Python

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pypowerbi

Python library for PowerBI

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robin_stocks

This is a library to use with Robinhood Financial App. It can be used to buy and sell stocks, get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

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multi-echelon-inventory-optimization

multi-echelon inventory optimization with SimPy, SciPy, sklearn, and RBFOpt

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Robinhood

Unofficial Documentation of Robinhood Trade's Private API

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dividend-data-download

This cod will download all relevant data from robinhood.com and dividend.com for dividend investors.

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d3

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

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tensorflow

Computation using data flow graphs for scalable machine learning

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forecast

forecast package for R

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swirl_courses

A collection of interactive courses for the swirl R package.

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datasharing

The Leek group guide to data sharing

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courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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