Download [FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers torrent

[FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers

Torrent:	[FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers
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]
Downloads:	235
Category:	Other /Tutorials
Size:	366.3 MB
Show Files »	[FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers 2. First Program (Classifier) 3. First Program (Classifier).mp4 (55.4 MB) 1. Installing Scikit and Numpy.html (1.2 KB) 2. Important Note.html (0.3 KB) 3. First Program (Classifier).vtt (5.6 KB) 3.1 ML-classification-example1.py.py (0.9 KB) 4. Lecture Notes.html (0.4 KB) 4.1 ML-classification-example1.py.py (0.9 KB) 5. Exercise.html (0.3 KB) 5.1 solution.py.py (0.3 KB) 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.vtt (0.9 KB) 2. What is Machine Learning.mp4 (9.0 MB) 2. What is Machine Learning.vtt (1.4 KB) 3. Example Problems.mp4 (9.7 MB) 3. Example Problems.vtt (1.6 KB) 4. Supervised Learning.mp4 (15.1 MB) 4. Supervised Learning.vtt (2.6 KB) [TGx]Downloaded from torrentgalaxy.org .txt (0.6 KB) 3. Iris Classifier 1. Iris Classifier.mp4 (26.2 MB) 1. Iris Classifier.vtt (2.3 KB) 1.1 ML-classification-iris.py.py (0.8 KB) 2. Accuracy Score.mp4 (32.7 MB) 2. Accuracy Score.vtt (4.3 KB) 2.1 ML-accuracy.py.py (1.0 KB) 3. See a Decision Tree.mp4 (18.5 MB) 3. See a Decision Tree.vtt (2.1 KB) 3.1 ML-draw-a-classification-tree.py.py (1.6 KB) 4. Regression 1. Linear Regression.mp4 (32.4 MB) 1. Linear Regression.vtt (5.6 KB) 1.1 ML-regression1.py.py (0.5 KB) 1.2 ML-regression2.py.py (0.9 KB) 2. Lecture Notes.html (0.4 KB) 3. Regression Example.mp4 (51.0 MB) 3. Regression Example.vtt (5.7 KB) 3.1 ML-regression3.py.py (1.4 KB) 4. Polynomial Regression.mp4 (28.3 MB) 4. Polynomial Regression.vtt (5.3 KB) 4.1 ML-nonlinear-prediction.py.py (0.8 KB) 5. Clustering 1. Clustering.mp4 (31.3 MB) 1. Clustering.vtt (6.1 KB) 1.1 ML-cluster.py.py (2.6 KB) 2. Lecture Notes.html (0.7 KB) 3. Kmeans explained.mp4 (48.5 MB) 3. Kmeans explained.vtt (5.4 KB) files
Added:	2019-02-14 11:05:10
Language:	English
Peers:	Seeders : 15 , Leechers : 2
Release name:	[FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers
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