Skillshare - 10 real world AI projects

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size367.4 MB
  • Uploaded Byfreecoursewb
  • Downloads51
  • Last checkedMar. 06th '22
  • Date uploadedMar. 04th '22
  • Seeders 5
  • Leechers3

Infohash : 2937DD5B870EF7AF8ACC4CF6B52ECDA30C8C7F1D

10 real world AI projects



https://CourseWikia.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 367 MB | Duration: 50m

ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT INDUSTRY LEVEL DATA SCIENCE PROJECTS

Do you want to harness the power of data science?
Are you looking to gain an edge by adding cool projects in your resume?
Do you want to learn how to deploy a model?
Gaining proficiency in data science can help you harness the power of the freely available data and information on the world wide web and turn it into actionable insights

This course is based on10 real life data science projects- You will work on 10 interesting projects which are used in data science industry

Files:

[ CourseWikia.com ] Skillshare - 10 real world AI projects
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here !
    • 01. Lecture 1-de.vtt (4.7 KB)
    • 01. Lecture 1-en-US.vtt (4.4 KB)
    • 01. Lecture 1-es-MX.vtt (4.8 KB)
    • 01. Lecture 1-fr.vtt (4.9 KB)
    • 01. Lecture 1-pt.vtt (4.7 KB)
    • 01. Lecture 1.mp4 (37.8 MB)
    • 02. Lecture 2-de.vtt (4.1 KB)
    • 02. Lecture 2-en-US.vtt (3.8 KB)
    • 02. Lecture 2-es-MX.vtt (4.2 KB)
    • 02. Lecture 2-fr.vtt (4.3 KB)
    • 02. Lecture 2-pt.vtt (4.0 KB)
    • 02. Lecture 2.mp4 (32.9 MB)
    • 03. Lecture 3-de.vtt (5.5 KB)
    • 03. Lecture 3-en-US.vtt (4.8 KB)
    • 03. Lecture 3-es-MX.vtt (5.3 KB)
    • 03. Lecture 3-fr.vtt (5.6 KB)
    • 03. Lecture 3-pt.vtt (5.2 KB)
    • 03. Lecture 3.mp4 (33.3 MB)
    • 04. Lecture 4-de.vtt (3.7 KB)
    • 04. Lecture 4-en-US.vtt (3.3 KB)
    • 04. Lecture 4-es-MX.vtt (3.7 KB)
    • 04. Lecture 4-fr.vtt (3.9 KB)
    • 04. Lecture 4-pt.vtt (3.6 KB)
    • 04. Lecture 4.mp4 (28.2 MB)
    • 05. Lecture 5-de.vtt (7.1 KB)
    • 05. Lecture 5-en-US.vtt (6.3 KB)
    • 05. Lecture 5-es-MX.vtt (6.9 KB)
    • 05. Lecture 5-fr.vtt (7.3 KB)
    • 05. Lecture 5-pt.vtt (6.9 KB)
    • 05. Lecture 5.mp4 (51.4 MB)
    • 06. Lecture 6-de.vtt (5.4 KB)
    • 06. Lecture 6-en-US.vtt (5.0 KB)
    • 06. Lecture 6-es-MX.vtt (5.5 KB)
    • 06. Lecture 6-fr.vtt (5.7 KB)
    • 06. Lecture 6-pt.vtt (5.5 KB)
    • 06. Lecture 6.mp4 (50.1 MB)
    • 07. Lecture 7-de.vtt (4.3 KB)
    • 07. Lecture 7-en-US.vtt (3.9 KB)
    • 07. Lecture 7-es-MX.vtt (4.3 KB)
    • 07. Lecture 7-fr.vtt (4.5 KB)
    • 07. Lecture 7-pt.vtt (4.2 KB)
    • 07. Lecture 7.mp4 (44.1 MB)
    • 08. Lecture 8-de.vtt (3.4 KB)
    • 08. Lecture 8-en-US.vtt (3.2 KB)
    • 08. Lecture 8-es-MX.vtt (3.5 KB)
    • 08. Lecture 8-fr.vtt (3.7 KB)
    • 08. Lecture 8-pt.vtt (3.4 KB)
    • 08. Lecture 8.mp4 (29.8 MB)
    • 09. Lecture 9-de.vtt (4.1 KB)
    • 09. Lecture 9-en-US.vtt (3.8 KB)
    • 09. Lecture 9-es-MX.vtt (4.2 KB)
    • 09. Lecture 9-fr.vtt (4.4 KB)
    • 09. Lecture 9-pt.vtt (4.2 KB)
    • 09. Lecture 9.mp4 (38.4 MB)
    • 10. Lecture 10-de.vtt (3.7 KB)
    • 10. Lecture 10-en-US.vtt (3.4 KB)
    • 10. Lecture 10-es-MX.vtt (3.7 KB)
    • 10. Lecture 10-fr.vtt (3.9 KB)
    • 10. Lecture 10-pt.vtt (3.6 KB)
    • 10. Lecture 10.mp4 (19.9 MB)
    • Bonus Resources.txt (0.4 KB)
    • Project
      • Credit card fraud detection.ipynb.ipynb (72.9 KB)
      • Datasets link.pdf.pdf (22.0 KB)
      • Fake or real news classification.ipynb.ipynb (41.2 KB)
      • House price prediction.ipynb.ipynb (66.5 KB)
      • Movie recommendation system.ipynb.ipynb (121.3 KB)
      • Rain prediction .ipynb.ipynb (266.3 KB)
      • Stroke prediction.ipynb.ipynb (137.3 KB)
      • Tesla stock price prediction.ipynb.ipynb (110.8 KB)
      • Wine quality classification .ipynb.ipynb (77.5 KB)
      • cervical cancer prediction.ipynb.ipynb (409.3 KB)
      • kmeans clustering .ipynb.ipynb (54.7 KB)

Code:

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  • 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