Download Udemy | Python Machine Learning Basics: Shallow Learning Algorithms [FTU] torrent

Udemy | Python Machine Learning Basics: Shallow Learning Algorithms [FTU]

Torrent:	Udemy \| Python Machine Learning Basics: Shallow Learning Algorithms [FTU]
Description:	Become an expert in Python Machine Learning recommendation algorithms Created by : Mark Nielsen Last updated : 9/2018 Language : English Caption (CC) : Included Torrent Contains : 39 Files, 5 Folders Course Source : https://www.udemy.com/basic-machine-learning-shallow-learning/ What you'll learn • Understand basic machine learning principles • Understand the different between Shallow learning and Deep learning • Implement shallow learning algorithms Requirements • Computer • Internet • No prior coding knowledge Description Start your Machine Learning career with this basic Machine learning course. Together we will look into the "shallow" learning algorithms KNN and SVD. The course consist of both assignments, follow along programming and theory lectures to ensure that you as a student have the best possible foundation to make real world applications using KNN or SVD. Who this course is for : • Anyone who wish to learn machine learning • Anyone who wish to develop recommender systems. For More Udemy Free Courses >>> https://ftuforum.com/ For more Lynda and other Courses >>> https://www.freecoursesonline.me/ Our Forum for discussion >>> https://discuss.ftuforum.com/
Downloads:	166
Category:	Other /Tutorials
Size:	451.3 MB
Show Files »	[FTUForum.com] [UDEMY] Python Machine Learning Basics Shallow Learning Algorithms [FTU] 0. Websites you may like 1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url (0.3 KB) 2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url (0.3 KB) 3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url (0.2 KB) 4. (FTUApps.com) Download Cracked Developers Applications For Free.url (0.2 KB) 5. (Discuss.FTUForum.com) FTU Discussion Forum.url (0.3 KB) How you can help Team-FTU.txt (0.2 KB) 1. Introduction 1. What is Machine Learning.mp4 (28.7 MB) 1. What is Machine Learning.vtt (5.8 KB) 2. Shallow vs Deep learning.mp4 (13.3 MB) 2. Shallow vs Deep learning.vtt (3.4 KB) 3. Theory vs Practice.mp4 (11.4 MB) 3. Theory vs Practice.vtt (3.6 KB) 2. Machine Learning Framework 1. Scikit Surprise.mp4 (38.6 MB) 1. Scikit Surprise.vtt (4.4 KB) 2. Evaluation.mp4 (21.5 MB) 2. Evaluation.vtt (8.0 KB) 3. Install Python 3.5+.mp4 (7.3 MB) 3. Install Python 3.5+.vtt (1.0 KB) 4. MI Python skeleton.mp4 (58.7 MB) 4. MI Python skeleton.vtt (8.9 KB) 3. SVD 1. SVD implementation.mp4 (53.1 MB) 1. SVD implementation.vtt (6.9 KB) 2.1 Singular Value Decomposition Stanford University.html (0.1 KB) 2. SVD Theory.mp4 (37.0 MB) 2. SVD Theory.vtt (4.5 KB) 3. Implement SVD().html (0.1 KB) 4. KNN 1. KNN implementation.mp4 (37.7 MB) 1. KNN implementation.vtt (4.2 KB) 2. Knn theory.mp4 (22.6 MB) 2. Knn theory.vtt (5.6 KB) 3. User vs Item.mp4 (18.6 MB) 3. User vs Item.vtt (2.3 KB) 4. Implementing KNN.html (0.1 KB) 5. Going Live 1. Display KNN neighbors.mp4 (31.7 MB) 1. Display KNN neighbors.vtt (4.1 KB) 2. Display SVD Item Predictions.mp4 (22.6 MB) 2. Display SVD Item Predictions.vtt (3.9 KB) 3. Surpriselib and Flask.mp4 (48.5 MB) 3. Surpriselib and Flask.vtt (6.1 KB) files
Added:	2019-05-19 11:07:15
Language:	English
Peers:	Seeders : 12 , Leechers : 3
Release name:	Udemy \| Python Machine Learning Basics: Shallow Learning Algorithms [FTU]
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