Udemy - Ensemble models in machine learning with Python

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Udemy - Ensemble models in machine learning with Python

Torrent Contents Size: 610.6 MB

Udemy - Ensemble models in machine learning with Python
▼ show more 28 files
1. Introduction to bagging.mp4
MP4
31.4 MB
1. Introduction to bagging.srt
SRT
8.4 KB
1. Introduction to boosting.mp4
MP4
20.4 MB
1. Introduction to boosting.srt
SRT
5.8 KB
1. Introduction to stacking.mp4
MP4
8 MB
1. Introduction to stacking.srt
SRT
2.5 KB
1. Introduction to voting.mp4
MP4
19.2 MB
1. Introduction to voting.srt
SRT
4.2 KB
1. Introduction.html
HTML
204.8 B
2. Bagging in Python.mp4
MP4
76.5 MB
2. Bagging in Python.srt
SRT
13.5 KB
2. Boosting in Python.mp4
MP4
54.5 MB
2. Boosting in Python.srt
SRT
9.6 KB
2. Ensemble models and bias-variance tradeoff.mp4
MP4
33.3 MB
2. Ensemble models and bias-variance tradeoff.srt
SRT
6.4 KB
2. Stacking in Python.mp4
MP4
49.8 MB
2. Stacking in Python.srt
SRT
8 KB
2. Voting in Python.mp4
MP4
37.3 MB
2. Voting in Python.srt
SRT
6.7 KB
2.1 Bagging.ipynb
IPYNB
11.6 KB
2.1 Boosting.ipynb
IPYNB
9.6 KB
2.1 Stacking.ipynb
IPYNB
8.9 KB
2.1 Voting.ipynb
IPYNB
3.4 KB
3. Introduction to Gradient Boosting.mp4
MP4
18.7 MB
3. Introduction to Gradient Boosting.srt
SRT
5.5 KB
3. Introduction to Random Forest.mp4
MP4
12.6 MB
3. Introduction to Random Forest.srt
SRT
3.4 KB
4. Gradient Boosting in Python.mp4
MP4
47.6 MB
4. Gradient Boosting in Python.srt
SRT
10.1 KB
4. Random Forest in Python.mp4
MP4
72.4 MB
4. Random Forest in Python.srt
SRT
13.6 KB
4.1 Gradient Boosting.ipynb
IPYNB
12.3 KB
4.1 Random Forest.ipynb
IPYNB
11.5 KB
5. Introduction to Extremely Randomized Trees.mp4
MP4
12.5 MB
5. Introduction to Extremely Randomized Trees.srt
SRT
2.9 KB
5. XGBoost in Python.mp4
MP4
58.9 MB
5. XGBoost in Python.srt
SRT
11.5 KB
5.1 XGBoost.ipynb
IPYNB
12.3 KB
6. Extremely Randomized Trees in Python.mp4
MP4
57.4 MB
6. Extremely Randomized Trees in Python.srt
SRT
10.4 KB
6.1 Extremely randomized trees.ipynb
IPYNB
12 KB
Bonus Resources.txt
TXT
409.6 B
Get Bonus Downloads Here.url
URL
204.8 B

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