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lb2281075105 / Python-Spider

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豆瓣电影top250、斗鱼爬取json数据以及爬取美女图片、淘宝、有缘、CrawlSpider爬取红娘网相亲人的部分基本信息以及红娘网分布式爬取和存储redis、爬虫小demo、Selenium、爬取多点、django开发接口、爬取有缘网信息、模拟知乎登录、模拟github登录、模拟图虫网登录、爬取多点商城整站数据、爬取微信公众号历史文章、爬取微信群或者微信好友分享的文章、itchat监听指定微信公众号分享的文章

mysql python redis django spider mongodb selenium xpath scrapy pymysql itchat crawlspider weichat beautifulsoup4
  • Updated Dec 24, 2020
  • Python

lb2281075105 / Python-WeChat-ItChat

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微信机器人，基于Python itchat接口功能实例展示：01-itchat获取微信好友或者微信群分享文章、02-itchat获取微信公众号文章、03-itchat监听微信公众号发送的文章、04 itchat监听微信群或好友撤回的消息、05 itchat获得微信好友信息以及表图对比、06 python打印出微信被删除好友、07 itchat自动回复好友、08 itchat微信好友个性签名词云图、09 itchat微信好友性别比例、10 微信群或微信好友撤回消息拦截、11 itchat微信群或好友之间转发消息

time uuid system numpy os pillow pandas wechat matplotlib jieba bs4 echarts itchat beautifulsoup4 matplotlib-live
  • Updated May 14, 2020
  • Python

skekre98 / NBA-Search

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Open

Improve documentation in Inference Network class

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skekre98
skekre98 commented Nov 4, 2020

Description of feature/enhancement
Current documentation in ../inference/inference_network.py is lacking. Could use better documentation.

Description of implementation
See ../modules/scraper.py for examples of documentation. Should be in following format:

"""
Function description
----------
input : type
    description of input parameter
Returns
-------
output
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documentation help wanted good first issue up-for-grabs
Stock_Market_Data_Analysis

jcwill415 / Stock_Market_Data_Analysis

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Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.

machine-learning numpy scikit-learn pandas data-visualization python3 stock-market matplotlib data-manipulation investment-analysis beautifulsoup4 sp500-real-time-data investment-decisions stock-price-data
  • Updated Aug 6, 2020
  • Jupyter Notebook

garganshul108 / Code-With-Mosh-Playlist-Downloader

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Open

Script Working Description

garganshul108
garganshul108 commented Oct 31, 2019

This project is mere collection of scripts working together.

So it's kind of difficult to guess the flow/working of these files

It would be better if some kind of documentation about the working flow of the scripts is available for the interested contributors to read, and understand better.

Anyone who is willing to take up this task and document the working / flow of this project, is welc

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documentation help wanted good first issue beginner

marcotav / supervised-machine-learning

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This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using Lasso and Ridge regressions.

machine-learning natural-language-processing random-forest media classification auc logistic-regression decision-trees webscraping roc-curve clicks beautifulsoup4
  • Updated Feb 26, 2020
  • Jupyter Notebook

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