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Udemy - Ensemble models in machine learning with Python

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Added 4 years ago by freecoursewb in Other
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Udemy - Ensemble models in machine learning with Python (Size: 610.6 MB)
  1. Introduction to bagging.mp4 31.4 MB
  1. Introduction to bagging.srt 8.4 KB
  1. Introduction to boosting.mp4 20.4 MB
  1. Introduction to boosting.srt 5.8 KB
  1. Introduction to stacking.mp4 8 MB
  1. Introduction to stacking.srt 2.5 KB
  1. Introduction to voting.mp4 19.2 MB
  1. Introduction to voting.srt 4.2 KB
  1. Introduction.html 204.8 B
  2. Bagging in Python.mp4 76.5 MB
  2. Bagging in Python.srt 13.5 KB
  2. Boosting in Python.mp4 54.5 MB
  2. Boosting in Python.srt 9.6 KB
  2. Ensemble models and bias-variance tradeoff.mp4 33.3 MB
  2. Ensemble models and bias-variance tradeoff.srt 6.4 KB
  2. Stacking in Python.mp4 49.8 MB
  2. Stacking in Python.srt 8 KB
  2. Voting in Python.mp4 37.3 MB
  2. Voting in Python.srt 6.7 KB
  2.1 Bagging.ipynb 11.6 KB
  2.1 Boosting.ipynb 9.6 KB
  2.1 Stacking.ipynb 8.9 KB
  2.1 Voting.ipynb 3.4 KB
  3. Introduction to Gradient Boosting.mp4 18.7 MB
  3. Introduction to Gradient Boosting.srt 5.5 KB
  3. Introduction to Random Forest.mp4 12.6 MB
  3. Introduction to Random Forest.srt 3.4 KB
  4. Gradient Boosting in Python.mp4 47.6 MB
  4. Gradient Boosting in Python.srt 10.1 KB
  4. Random Forest in Python.mp4 72.4 MB
  4. Random Forest in Python.srt 13.6 KB
  4.1 Gradient Boosting.ipynb 12.3 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
  5. XGBoost in Python.mp4 58.9 MB
  5. XGBoost in Python.srt 11.5 KB
  5.1 XGBoost.ipynb 12.3 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 KB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 43 total files

Description


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

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