lemonandbanana Goto Github PK

500lines

500 Lines or Less

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

dask-tutorial

Dask tutorial

dask-tutorial-pycon-2018

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fastphotostyle

Style transfer, deep learning, feature transform

final_capstone_ibm

my-first-repo

planets

pleco-stock-scraper

Scrape stock data for canadian companies and store in a database.

pystock-data

(UNMAINTAINED) US stock market data since 2009

wk3-capstone-ibm-datascientist

In this assignment, you will be required to explore, segment, and cluster the neighborhoods in the city of Toronto. However, unlike New York, the neighborhood data is not readily available on the internet. What is interesting about the field of data science is that each project can be challenging in its unique way, so you need to learn to be agile and refine the skill to learn new libraries and tools quickly depending on the project. For the Toronto neighborhood data, a Wikipedia page exists that has all the information we need to explore and cluster the neighborhoods in Toronto. You will be required to scrape the Wikipedia page and wrangle the data, clean it, and then read it into a pandas dataframe so that it is in a structured format like the New York dataset. Once the data is in a structured format, you can replicate the analysis that we did to the New York City dataset to explore and cluster the neighborhoods in the city of Toronto.

zipline

Zipline, a Pythonic Algorithmic Trading Library