Active Machine Learning with Python - Refine and elevate data qua...

  • Category Other
  • Type E-Books
  • Language English
  • Total size 8.7 MB
  • Uploaded By freecoursewb
  • Downloads 245
  • Last checked 1 week ago
  • Date uploaded 1 year ago
  • Seeders 15
  • Leechers 0

Infohash : E67C8ABDC10A79CB1DA3FB7CC0BC1E5788E3FDA6



Active Machine Learning with Python: Refine and elevate data quality over quantity with active learning (True EPUB)



https://DevCourseWeb.com

English | 2024 | ISBN: 1835464947 | 209 pages | True EPUB | 8.68 MB

Use active machine learning with Python to improve the accuracy of predictive models, streamline the data analysis process, and adapt to evolving data trends, fostering innovation and progress across diverse fields

Key Features
Learn how to implement a pipeline for optimal model creation from large datasets and at lower costs
Gain profound insights within your data while achieving greater efficiency and speed
Apply your knowledge to real-world use cases and solve complex ML problems

Files:

[ DevCourseWeb.com ] Active Machine Learning with Python - Refine and elevate data quality over quantity with active learning (True EPUB)
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here !
    • Bonus Resources.txt (0.4 KB)
    • MargauxMasson-Forsythe-ActiveMachineLearningwithPython.epub.epub (8.7 MB)

There are currently no comments. Feel free to leave one :)

Code:

  • udp://tracker.torrent.eu.org:451/announce
  • udp://tracker.tiny-vps.com:6969/announce
  • http://tracker.foreverpirates.co:80/announce
  • udp://tracker.cyberia.is:6969/announce
  • udp://exodus.desync.com:6969/announce
  • udp://explodie.org:6969/announce
  • udp://tracker.opentrackr.org:1337/announce
  • udp://9.rarbg.to:2780/announce
  • udp://tracker.internetwarriors.net:1337/announce
  • udp://ipv4.tracker.harry.lu:80/announce
  • udp://open.stealth.si:80/announce
  • udp://9.rarbg.to:2900/announce
  • udp://9.rarbg.me:2720/announce
  • udp://opentor.org:2710/announce
REVERSE-PROXY 🔄 RP (success) | 1872ms 📄 torrent 🕐 17 Jan 2026, 05:03:24 pm IST ⏰ 11 Feb 2026, 05:03:24 pm IST ✅ Valid for 24d 23h 🔄 Wait 10m