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[FreeCourseWeb] Udemy - Machine Learning Intro for...
Seeders: 2 Leechers: 2
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[FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers Torrent content (File list)
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| 2. First Program (Classifier)/3. First Program (Classifier).mp4 55.4 MB |
| Torrent downloaded from 1337x.to.txt 0.0 KB |
| Torrent Downloaded From GloDls.to.txt 0.1 KB |
| Torrent Downloaded From limetorrents.info.txt 0.1 KB |
| 1. Introduction/1. Introduction.mp4 8.2 MB |
| 1. Introduction/1. Introduction.vtt 0.9 KB |
| 1. Introduction/2. What is Machine Learning.mp4 9.0 MB |
| 1. Introduction/2. What is Machine Learning.vtt 1.4 KB |
| 1. Introduction/3. Example Problems.mp4 9.7 MB |
| 1. Introduction/3. Example Problems.vtt 1.6 KB |
| 1. Introduction/4. Supervised Learning.mp4 15.1 MB |
| 1. Introduction/4. Supervised Learning.vtt 2.6 KB |
| 2. First Program (Classifier)/1. Installing Scikit and Numpy.html 1.2 KB |
| 2. First Program (Classifier)/2. Important Note.html 0.3 KB |
| [TGx]Downloaded from torrentgalaxy.org .txt 0.6 KB |
| 2. First Program (Classifier)/3. First Program (Classifier).vtt 5.6 KB |
| 2. First Program (Classifier)/3.1 ML-classification-example1.py.py 0.9 KB |
| 2. First Program (Classifier)/4. Lecture Notes.html 0.4 KB |
| 2. First Program (Classifier)/4.1 ML-classification-example1.py.py 0.9 KB |
| 2. First Program (Classifier)/5. Exercise.html 0.3 KB |
| 2. First Program (Classifier)/5.1 solution.py.py 0.3 KB |
| 3. Iris Classifier/1. Iris Classifier.mp4 26.2 MB |
| 3. Iris Classifier/1. Iris Classifier.vtt 2.3 KB |
| 3. Iris Classifier/1.1 ML-classification-iris.py.py 0.8 KB |
| 3. Iris Classifier/2. Accuracy Score.mp4 32.7 MB |
| 3. Iris Classifier/2. Accuracy Score.vtt 4.3 KB |
| 3. Iris Classifier/2.1 ML-accuracy.py.py 1.0 KB |
| 3. Iris Classifier/3. See a Decision Tree.mp4 18.5 MB |
| 3. Iris Classifier/3. See a Decision Tree.vtt 2.1 KB |
| 3. Iris Classifier/3.1 ML-draw-a-classification-tree.py.py 1.6 KB |
| 4. Regression/1. Linear Regression.mp4 32.4 MB |
| 4. Regression/1. Linear Regression.vtt 5.6 KB |
| 4. Regression/1.1 ML-regression1.py.py 0.5 KB |
| 4. Regression/1.2 ML-regression2.py.py 0.9 KB |
| 4. Regression/2. Lecture Notes.html 0.4 KB |
| 4. Regression/3. Regression Example.mp4 51.0 MB |
| 4. Regression/3. Regression Example.vtt 5.7 KB |
| 4. Regression/3.1 ML-regression3.py.py 1.4 KB |
| 4. Regression/4. Polynomial Regression.mp4 28.3 MB |
| 4. Regression/4. Polynomial Regression.vtt 5.3 KB |
| 4. Regression/4.1 ML-nonlinear-prediction.py.py 0.8 KB |
| 5. Clustering/1. Clustering.mp4 31.3 MB |
| 5. Clustering/1. Clustering.vtt 6.1 KB |
| 5. Clustering/1.1 ML-cluster.py.py 2.6 KB |
| 5. Clustering/2. Lecture Notes.html 0.7 KB |
| 5. Clustering/3. Kmeans explained.mp4 48.5 MB |
| 5. Clustering/3. Kmeans explained.vtt 5.4 KB |
- Torrent indexed: 6 years
- Torrent updated: Wednesday 13th of February 2019 03:00:12 AM
- Torrent hash: E5BE9F8E23EF9B5D89BE2FBD073B3301558D533B
- Torrent size: 366.3 MB
- Torrent category: Other
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