[FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers

• [FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers
• 1. Introduction/1. Introduction.mp4 8.2 MB
• 1. Introduction/1. Introduction.vtt 910 B
• 1. Introduction/2. What is Machine Learning.mp4 9 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 268 B
• 2. First Program (Classifier)/3. First Program (Classifier).mp4 55.4 MB
• 2. First Program (Classifier)/3. First Program (Classifier).vtt 5.6 KB
• 2. First Program (Classifier)/3.1 ML-classification-example1.py.py 968 B
• 2. First Program (Classifier)/4. Lecture Notes.html 420 B
• 2. First Program (Classifier)/4.1 ML-classification-example1.py.py 968 B
• 2. First Program (Classifier)/5. Exercise.html 285 B
• 2. First Program (Classifier)/5.1 solution.py.py 261 B
• 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 865 B
• 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 1020 B
• 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 560 B
• 4. Regression/1.2 ML-regression2.py.py 908 B
• 4. Regression/2. Lecture Notes.html 455 B
• 4. Regression/3. Regression Example.mp4 51 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 831 B
• 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 708 B
• 5. Clustering/3. Kmeans explained.mp4 48.5 MB
• 5. Clustering/3. Kmeans explained.vtt 5.4 KB

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