Udemy - Python, Excel and Machine Learning for Stocks Data Science

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 3.5 GB
  • Uploaded By tutsnode
  • Downloads 209
  • Last checked Nov. 24th '20
  • Date uploaded Nov. 22nd '20
  • Seeders 40
  • Leechers 18

Infohash : 29D6E7A51E14DB132452ADF8010F3140A1E28AEA


Description

This course is project-based so you will not be learning a bunch of useless coding practices. At the end of this course you will have real world apps to use in your portfolio. We feel that project based training content is the best way to get from A to B. Taking this course means that you learn practical, employable skills immediately.

You can use the projects you build in this course to add to your LinkedIn profile. Give your portfolio fuel to take your career to the next level.

Learning how to code is a great way to jump in a new career or enhance your current career. Coding is the new math and learning how to code will propel you forward for any situation. Learn it today and get a head start for tomorrow. People who can master technology will rule the future.
Who this course is for:

Absolute beginners to programming
Developers transferring from other languages

Requirements

No experience necessary

Last Updated 10/2020

Files:

Python, Excel and Machine Learning for Stocks Data Science
  • Python, Excel and Machine Learning for Stocks Data Science.zip (3.5 GB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
  • TutsNode.com.txt (0.1 KB)

Code:

  • udp://inferno.demonoid.pw:3391/announce
  • udp://tracker.openbittorrent.com:80/announce
  • udp://tracker.opentrackr.org:1337/announce
  • udp://torrent.gresille.org:80/announce
  • udp://glotorrents.pw:6969/announce
  • udp://tracker.leechers-paradise.org:6969/announce
  • udp://tracker.pirateparty.gr:6969/announce
  • udp://tracker.coppersurfer.tk:6969/announce
  • udp://ipv4.tracker.harry.lu:80/announce
  • udp://9.rarbg.to:2710/announce
  • udp://shadowshq.yi.org:6969/announce
  • udp://tracker.zer0day.to:1337/announce