[ DevCourseWeb.com ] Udemy - Ensemble models in machine learning with Python
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- ~Get Your Files Here !/2. Bagging/2. Bagging in Python.mp4 76.5 MB
- ~Get Your Files Here !/2. Bagging/4. Random Forest in Python.mp4 72.4 MB
- ~Get Your Files Here !/3. Boosting/5. XGBoost in Python.mp4 58.9 MB
- ~Get Your Files Here !/2. Bagging/6. Extremely Randomized Trees in Python.mp4 57.4 MB
- ~Get Your Files Here !/3. Boosting/2. Boosting in Python.mp4 54.5 MB
- ~Get Your Files Here !/5. Stacking/2. Stacking in Python.mp4 49.8 MB
- ~Get Your Files Here !/3. Boosting/4. Gradient Boosting in Python.mp4 47.6 MB
- ~Get Your Files Here !/4. Voting/2. Voting in Python.mp4 37.3 MB
- ~Get Your Files Here !/1. Introduction/2. Ensemble models and bias-variance tradeoff.mp4 33.3 MB
- ~Get Your Files Here !/2. Bagging/1. Introduction to bagging.mp4 31.4 MB
- ~Get Your Files Here !/3. Boosting/1. Introduction to boosting.mp4 20.4 MB
- ~Get Your Files Here !/4. Voting/1. Introduction to voting.mp4 19.2 MB
- ~Get Your Files Here !/3. Boosting/3. Introduction to Gradient Boosting.mp4 18.7 MB
- ~Get Your Files Here !/2. Bagging/3. Introduction to Random Forest.mp4 12.6 MB
- ~Get Your Files Here !/2. Bagging/5. Introduction to Extremely Randomized Trees.mp4 12.5 MB
- ~Get Your Files Here !/5. Stacking/1. Introduction to stacking.mp4 8.0 MB
- ~Get Your Files Here !/2. Bagging/4. Random Forest in Python.srt 13.6 KB
- ~Get Your Files Here !/2. Bagging/2. Bagging in Python.srt 13.5 KB
- ~Get Your Files Here !/3. Boosting/5.1 XGBoost.ipynb 12.3 KB
- ~Get Your Files Here !/3. Boosting/4.1 Gradient Boosting.ipynb 12.3 KB
- ~Get Your Files Here !/2. Bagging/6.1 Extremely randomized trees.ipynb 12.0 KB
- ~Get Your Files Here !/2. Bagging/2.1 Bagging.ipynb 11.6 KB
- ~Get Your Files Here !/2. Bagging/4.1 Random Forest.ipynb 11.5 KB
- ~Get Your Files Here !/3. Boosting/5. XGBoost in Python.srt 11.5 KB
- ~Get Your Files Here !/2. Bagging/6. Extremely Randomized Trees in Python.srt 10.4 KB
- ~Get Your Files Here !/3. Boosting/4. Gradient Boosting in Python.srt 10.1 KB
- ~Get Your Files Here !/3. Boosting/2. Boosting in Python.srt 9.6 KB
- ~Get Your Files Here !/3. Boosting/2.1 Boosting.ipynb 9.6 KB
- ~Get Your Files Here !/5. Stacking/2.1 Stacking.ipynb 8.9 KB
- ~Get Your Files Here !/2. Bagging/1. Introduction to bagging.srt 8.4 KB
- ~Get Your Files Here !/5. Stacking/2. Stacking in Python.srt 8.0 KB
- ~Get Your Files Here !/4. Voting/2. Voting in Python.srt 6.7 KB
- ~Get Your Files Here !/1. Introduction/2. Ensemble models and bias-variance tradeoff.srt 6.4 KB
- ~Get Your Files Here !/3. Boosting/1. Introduction to boosting.srt 5.8 KB
- ~Get Your Files Here !/3. Boosting/3. Introduction to Gradient Boosting.srt 5.5 KB
- ~Get Your Files Here !/4. Voting/1. Introduction to voting.srt 4.2 KB
- ~Get Your Files Here !/4. Voting/2.1 Voting.ipynb 3.4 KB
- ~Get Your Files Here !/2. Bagging/3. Introduction to Random Forest.srt 3.4 KB
- ~Get Your Files Here !/2. Bagging/5. Introduction to Extremely Randomized Trees.srt 2.9 KB
- ~Get Your Files Here !/5. Stacking/1. Introduction to stacking.srt 2.5 KB
- ~Get Your Files Here !/Bonus Resources.txt 386 bytes
- Get Bonus Downloads Here.url 182 bytes
- ~Get Your Files Here !/1. Introduction/1. Introduction.html 156 bytes
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