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az-900t0x-microsoftazurefundamentals

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

courses

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

d3

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

datasciencecoursera

datasharing

The Leek group guide to data sharing

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。

dividend-data-download

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

easyagents

Reinforcement Learning for Practitioners.

forecast

forecast package for R

gluon-ts

GluonTS - Probabilistic Time Series Modeling in Python

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.

ml-workshop-1-of-4

Introduction to Machine learning with Python, 4h interactive workshop

ml-workshop-3-of-4

Advanced Machine Learning with Scikit-learn part I

ml-workshop-4-of-4

Advanced Machine Learning with Scikit-learn part II

multi-echelon-inventory-optimization

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

nd-pyomo-cookbook

A repository of Pyomo examples.

network-analysis-made-simple

For PyCon, PyData, ODSC, and beyond!

or-gym

Environments for OR and RL Research

pypowerbi

Python library for PowerBI

r_programming

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

robinhood

Unofficial Documentation of Robinhood Trade's Private API

scikit-learn

scikit-learn: machine learning in Python

sdforce.github.io

spark-nlp

State of the Art Natural Language Processing

spark-nlp-workshop

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

swirl_courses

A collection of interactive courses for the swirl R package.

tensorflow

Computation using data flow graphs for scalable machine learning