[FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers
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Torrent File Contents
[FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers
2. First Program (Classifier)/3. First Program (Classifier).mp4
Torrent downloaded from 1337x.buzz.txt
Torrent Downloaded From GloDls.buzz.txt
Torrent Downloaded From limetorrents.info.txt
1. Introduction/1. Introduction.mp4
1. Introduction/1. Introduction.vtt
1. Introduction/2. What is Machine Learning.mp4
1. Introduction/2. What is Machine Learning.vtt
1. Introduction/3. Example Problems.mp4
1. Introduction/3. Example Problems.vtt
1. Introduction/4. Supervised Learning.mp4
1. Introduction/4. Supervised Learning.vtt
2. First Program (Classifier)/1. Installing Scikit and Numpy.html
2. First Program (Classifier)/2. Important Note.html
[TGx]Downloaded from torrentgalaxy.org .txt
2. First Program (Classifier)/3. First Program (Classifier).vtt
2. First Program (Classifier)/3.1 ML-classification-example1.py.py
2. First Program (Classifier)/4. Lecture Notes.html
2. First Program (Classifier)/4.1 ML-classification-example1.py.py
2. First Program (Classifier)/5. Exercise.html
2. First Program (Classifier)/5.1 solution.py.py
3. Iris Classifier/1. Iris Classifier.mp4
3. Iris Classifier/1. Iris Classifier.vtt
3. Iris Classifier/1.1 ML-classification-iris.py.py
3. Iris Classifier/2. Accuracy Score.mp4
3. Iris Classifier/2. Accuracy Score.vtt
3. Iris Classifier/2.1 ML-accuracy.py.py
3. Iris Classifier/3. See a Decision Tree.mp4
3. Iris Classifier/3. See a Decision Tree.vtt
3. Iris Classifier/3.1 ML-draw-a-classification-tree.py.py
4. Regression/1. Linear Regression.mp4
4. Regression/1. Linear Regression.vtt
4. Regression/1.1 ML-regression1.py.py
4. Regression/1.2 ML-regression2.py.py
4. Regression/2. Lecture Notes.html
4. Regression/3. Regression Example.mp4
4. Regression/3. Regression Example.vtt
4. Regression/3.1 ML-regression3.py.py
4. Regression/4. Polynomial Regression.mp4
4. Regression/4. Polynomial Regression.vtt
4. Regression/4.1 ML-nonlinear-prediction.py.py
5. Clustering/1. Clustering.mp4
5. Clustering/1. Clustering.vtt
5. Clustering/1.1 ML-cluster.py.py
5. Clustering/2. Lecture Notes.html
5. Clustering/3. Kmeans explained.mp4
5. Clustering/3. Kmeans explained.vtt
2. First Program (Classifier)/3. First Program (Classifier).mp4
- 55.41 MB
Torrent downloaded from 1337x.buzz.txt
- 43 Bytes
Torrent Downloaded From GloDls.buzz.txt
- 84 Bytes
Torrent Downloaded From limetorrents.info.txt
- 53 Bytes
1. Introduction/1. Introduction.mp4
- 8.21 MB
1. Introduction/1. Introduction.vtt
- 910 Bytes
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 Bytes
[TGx]Downloaded from torrentgalaxy.org .txt
- 587 Bytes
2. First Program (Classifier)/3. First Program (Classifier).vtt
- 5.55 KB
2. First Program (Classifier)/3.1 ML-classification-example1.py.py
- 968 Bytes
2. First Program (Classifier)/4. Lecture Notes.html
- 420 Bytes
2. First Program (Classifier)/4.1 ML-classification-example1.py.py
- 968 Bytes
2. First Program (Classifier)/5. Exercise.html
- 285 Bytes
2. First Program (Classifier)/5.1 solution.py.py
- 261 Bytes
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 Bytes
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
- 1020 Bytes
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 Bytes
4. Regression/1.2 ML-regression2.py.py
- 908 Bytes
4. Regression/2. Lecture Notes.html
- 455 Bytes
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
- 28.3 MB
4. Regression/4. Polynomial Regression.vtt
- 5.3 KB
4. Regression/4.1 ML-nonlinear-prediction.py.py
- 831 Bytes
5. Clustering/1. Clustering.mp4
- 31.26 MB
5. Clustering/1. Clustering.vtt
- 6.1 KB
5. Clustering/1.1 ML-cluster.py.py
- 2.61 KB
5. Clustering/2. Lecture Notes.html
- 708 Bytes
5. Clustering/3. Kmeans explained.mp4
- 48.5 MB
5. Clustering/3. Kmeans explained.vtt
- 5.4 KB
Torrent Description
Description:
[FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .VTT | Duration: 44 mins | Size: 366 MB
Get started with Machine Learning Algorithms
What you'll learn
Machine Learning Basics with Python
How to apply ML algorithms to your own problems
How some algorithms work internally (kmeans, decision tree)
Classify data automatically
Predict prices with algorithms
Group data points automatically
Requirements
Experience with Python Programming
Description
Learn how to use Machine Learning with Python Scikit!
This is a getting started course for Machine Learning. If you are new to Machine Learning, this course is for you!
We'll teach you how to get started with Machine Learning including these topics:
What is Machine Learning
Automatically classify new data
Predict prices with regression
Group your data automatically with clustering
Who this course is for:
Python developers curious about Machine Learning
If you like this torrent then Please, we repeat, Please, Support Authors. They Deserve it [/b]
[FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .VTT | Duration: 44 mins | Size: 366 MB
Get started with Machine Learning Algorithms
What you'll learn
Machine Learning Basics with Python
How to apply ML algorithms to your own problems
How some algorithms work internally (kmeans, decision tree)
Classify data automatically
Predict prices with algorithms
Group data points automatically
Requirements
Experience with Python Programming
Description
Learn how to use Machine Learning with Python Scikit!
This is a getting started course for Machine Learning. If you are new to Machine Learning, this course is for you!
We'll teach you how to get started with Machine Learning including these topics:
What is Machine Learning
Automatically classify new data
Predict prices with regression
Group your data automatically with clustering
Who this course is for:
Python developers curious about Machine Learning
If you like this torrent then Please, we repeat, Please, Support Authors. They Deserve it [/b]