Udemy - Ensemble models in machine learning with Python

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size610.6 MB
  • Uploaded Byfreecoursewb
  • Downloads39
  • Last checkedJun. 04th '22
  • Date uploadedJun. 03rd '22
  • Seeders 10
  • Leechers11

Infohash : 618518D055186FEC30932B6B99F100F28D3D2F17

Ensemble models in machine learning with Python



https://DevCourseWeb.com

Published 05/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 17 lectures (1h 50m) | Size: 610.6 MB

A practical course about ensemble models in machine learning using Python programming language

What you'll learn
Bias variance tradeoff
What ensemble models are
Bagging and random forest
Boosting and XGBoost

Requirements
Python programming language

Files:

[ DevCourseWeb.com ] Udemy - Ensemble models in machine learning with Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction.html (0.2 KB)
    • 2. Ensemble models and bias-variance tradeoff.mp4 (33.3 MB)
    • 2. Ensemble models and bias-variance tradeoff.srt (6.4 KB)
    2. Bagging
    • 1. Introduction to bagging.mp4 (31.4 MB)
    • 1. Introduction to bagging.srt (8.4 KB)
    • 2. Bagging in Python.mp4 (76.5 MB)
    • 2. Bagging in Python.srt (13.5 KB)
    • 2.1 Bagging.ipynb (11.6 KB)
    • 3. Introduction to Random Forest.mp4 (12.6 MB)
    • 3. Introduction to Random Forest.srt (3.4 KB)
    • 4. Random Forest in Python.mp4 (72.4 MB)
    • 4. Random Forest in Python.srt (13.6 KB)
    • 4.1 Random Forest.ipynb (11.5 KB)
    • 5. Introduction to Extremely Randomized Trees.mp4 (12.5 MB)
    • 5. Introduction to Extremely Randomized Trees.srt (2.9 KB)
    • 6. Extremely Randomized Trees in Python.mp4 (57.4 MB)
    • 6. Extremely Randomized Trees in Python.srt (10.4 KB)
    • 6.1 Extremely randomized trees.ipynb (12.0 KB)
    3. Boosting
    • 1. Introduction to boosting.mp4 (20.4 MB)
    • 1. Introduction to boosting.srt (5.8 KB)
    • 2. Boosting in Python.mp4 (54.5 MB)
    • 2. Boosting in Python.srt (9.6 KB)
    • 2.1 Boosting.ipynb (9.6 KB)
    • 3. Introduction to Gradient Boosting.mp4 (18.7 MB)
    • 3. Introduction to Gradient Boosting.srt (5.5 KB)
    • 4. Gradient Boosting in Python.mp4 (47.6 MB)
    • 4. Gradient Boosting in Python.srt (10.1 KB)
    • 4.1 Gradient Boosting.ipynb (12.3 KB)
    • 5. XGBoost in Python.mp4 (58.9 MB)
    • 5. XGBoost in Python.srt (11.5 KB)
    • 5.1 XGBoost.ipynb (12.3 KB)
    4. Voting
    • 1. Introduction to voting.mp4 (19.2 MB)
    • 1. Introduction to voting.srt (4.2 KB)
    • 2. Voting in Python.mp4 (37.3 MB)
    • 2. Voting in Python.srt (6.7 KB)
    • 2.1 Voting.ipynb (3.4 KB)
    5. Stacking
    • 1. Introduction to stacking.mp4 (8.0 MB)
    • 1. Introduction to stacking.srt (2.5 KB)
    • 2. Stacking in Python.mp4 (49.8 MB)
    • 2. Stacking in Python.srt (8.0 KB)
    • 2.1 Stacking.ipynb (8.9 KB)
    • Bonus Resources.txt (0.4 KB)

Code:

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