| File | Dimensione |
|---|
| 1. Introduction/1. Introduction.mp4 | 8.21 MB |
| 1. Introduction/1. Introduction.vtt | 910.00 B |
| 1. Introduction/2. What is Machine Learning.mp4 | 9.01 MB |
| 1. Introduction/2. What is Machine Learning.vtt | 1.42 kB |
| 1. Introduction/3. Example Problems.mp4 | 9.71 MB |
| 1. Introduction/3. Example Problems.vtt | 1.62 kB |
| 1. Introduction/4. Supervised Learning.mp4 | 15.06 MB |
| 1. Introduction/4. Supervised Learning.vtt | 2.61 kB |
| 2. First Program (Classifier)/1. Installing Scikit and Numpy.html | 1.24 kB |
| 2. First Program (Classifier)/2. Important Note.html | 268.00 B |
| 2. First Program (Classifier)/3. First Program (Classifier).mp4 | 55.41 MB |
| 2. First Program (Classifier)/3. First Program (Classifier).vtt | 5.55 kB |
| 2. First Program (Classifier)/3.1 ML-classification-example1.py.py | 968.00 B |
| 2. First Program (Classifier)/4. Lecture Notes.html | 420.00 B |
| 2. First Program (Classifier)/4.1 ML-classification-example1.py.py | 968.00 B |
| 2. First Program (Classifier)/5. Exercise.html | 285.00 B |
| 2. First Program (Classifier)/5.1 solution.py.py | 261.00 B |
| 3. Iris Classifier/1. Iris Classifier.mp4 | 26.21 MB |
| 3. Iris Classifier/1. Iris Classifier.vtt | 2.33 kB |
| 3. Iris Classifier/1.1 ML-classification-iris.py.py | 865.00 B |
| 3. Iris Classifier/2. Accuracy Score.mp4 | 32.66 MB |
| 3. Iris Classifier/2. Accuracy Score.vtt | 4.34 kB |
| 3. Iris Classifier/2.1 ML-accuracy.py.py | 1,020.00 B |
| 3. Iris Classifier/3. See a Decision Tree.mp4 | 18.51 MB |
| 3. Iris Classifier/3. See a Decision Tree.vtt | 2.05 kB |
| 3. Iris Classifier/3.1 ML-draw-a-classification-tree.py.py | 1.59 kB |
| 4. Regression/1. Linear Regression.mp4 | 32.42 MB |
| 4. Regression/1. Linear Regression.vtt | 5.64 kB |
| 4. Regression/1.1 ML-regression1.py.py | 560.00 B |
| 4. Regression/1.2 ML-regression2.py.py | 908.00 B |
| 4. Regression/2. Lecture Notes.html | 455.00 B |
| 4. Regression/3. Regression Example.mp4 | 51.02 MB |
| 4. Regression/3. Regression Example.vtt | 5.73 kB |
| 4. Regression/3.1 ML-regression3.py.py | 1.41 kB |
| 4. Regression/4. Polynomial Regression.mp4 | 28.30 MB |
| 4. Regression/4. Polynomial Regression.vtt | 5.30 kB |
| 4. Regression/4.1 ML-nonlinear-prediction.py.py | 831.00 B |
| 5. Clustering/1. Clustering.mp4 | 31.26 MB |
| 5. Clustering/1. Clustering.vtt | 6.10 kB |
| 5. Clustering/1.1 ML-cluster.py.py | 2.61 kB |
| 5. Clustering/2. Lecture Notes.html | 708.00 B |
| 5. Clustering/3. Kmeans explained.mp4 | 48.50 MB |
| 5. Clustering/3. Kmeans explained.vtt | 5.40 kB |
| Torrent downloaded from 1337x.to.txt | 43.00 B |
| Torrent Downloaded From GloDls.to.txt | 84.00 B |
| Torrent Downloaded From limetorrents.info.txt | 53.00 B |
| [TGx]Downloaded from torrentgalaxy.org .txt | 587.00 B |
-