Download Udemy - Enticing random Pearls of Machine Learning-The gist of 21-22 torrent

Udemy - Enticing random Pearls of Machine Learning-The gist of 21-22

Torrent:	Udemy - Enticing random Pearls of Machine Learning-The gist of 21-22
Description:	Enticing random Pearls of Machine Learning-The gist of 21-22 Genre: eLearning \| MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz Language: English \| Size: 1.21 GB \| Duration: 4h 4m Key revision points -Handpicked points of Concepts ,tools and techniques to build intelligent systems (python framework) What you'll learn Have a fundamental understanding of the Python programming language. Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science, etc. Understand how to create your own Python programs. Understand both Python 3. Description What is machine learning? Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values. Recommendation engines are a common use case for machine learning. Other popular uses include fraud detection, spam filtering, malware threat detection, business process automation (BPA) and predictive maintenance. https://FreeCourseWeb.com
Downloads:	23
Category:	Other /Tutorials
Size:	1.2 GB
Show Files »	[ FreeCourseWeb.com ] Udemy - Enticing random Pearls of Machine Learning-The gist of 21-22 Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction 1. Introduction.mp4 (14.7 MB) 1. Introduction.srt (3.1 KB) 10. UCSSL Cont.mp4 (81.8 MB) 10. UCSSL Cont.srt (10.8 KB) 10.1 Untitled16.py (2.7 KB) 11. DBSCAN-1.mp4 (79.0 MB) 11. DBSCAN-1.srt (13.2 KB) 11.1 Untitled16.py (4.5 KB) 12. DBSCAN-2.mp4 (62.1 MB) 12. DBSCAN-2.srt (10.2 KB) 12.1 Untitled16.py (4.9 KB) 2. K means clustering.mp4 (145.7 MB) 2. K means clustering.srt (24.6 KB) 3. K Means clustering -cont.mp4 (49.1 MB) 3. K Means clustering -cont.srt (4.4 KB) 4. K Means Clustering finishing.mp4 (49.2 MB) 4. K Means Clustering finishing.srt (7.0 KB) 4.1 235.py (2.8 KB) 5. hierarchical clustering.mp4 (88.2 MB) 5. hierarchical clustering.srt (14.1 KB) 5.1 237.py (0.9 KB) 6. More Highlight-Unsupervised-Clustering -Kmeans.mp4 (90.0 MB) 6. More Highlight-Unsupervised-Clustering -Kmeans.srt (14.0 KB) 6.1 239.py (0.7 KB) 7. mean shift from scratch.mp4 (159.9 MB) 7. mean shift from scratch.srt (16.5 KB) 7.1 240.py (1.8 KB) 8. Using clustering with preprocessing.mp4 (138.3 MB) 8. Using clustering with preprocessing.srt (16.3 KB) 8.1 240.py (0.5 KB) 9. Using clustering for semi supervised learning.mp4 (141.8 MB) 9. Using clustering for semi supervised learning.srt (21.0 KB) 9.1 clustering for Semi Supervised Learning.txt (2.1 KB) 9.2 Untitled16-Copy1.py (1.5 KB) 2. Introducing a bit off Matplotlib 1. Gridspec and other functions#221.mp4 (76.0 MB) 1. Gridspec and other functions#221.srt (15.5 KB) 1.1 222_new.original (1.0 KB) 1.2 222_new.original (1.0 KB) 2. Gridspec using Subplotspec#222.mp4 (66.8 MB) 2. Gridspec using Subplotspec#222.srt (13.6 KB) 2.1 222_new.original (1.0 KB) Bonus Resources.txt (0.3 KB) files
Added:	2021-10-18 11:05:00
Language:	English
Peers:	Seeders : 4 , Leechers : 6
Tags:	Development Udemy
Release name:	Udemy - Enticing random Pearls of Machine Learning-The gist of 21-22
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