Download Udemy - Machine Learning made Easy : Hands-on python torrent

Udemy - Machine Learning made Easy : Hands-on python

Torrent:	Udemy - Machine Learning made Easy : Hands-on python
Description:	Description The course covers Machine Learning in exhaustive way. The presentations and hands-on practical are made such that it’s made easy. The knowledge gained through this tutorial series can be applied to various real world scenarios. UnSupervised Learning and Supervised Learning are dealt in-detail with lots of bonus topics. The course contents are given below: Introduction to Machine Learning Introductions to Deep Learning Installations Unsupervised Learning Clustering, Association Agglomerative, Hands-on DBSCAN, Hands-on Mean Shift, Hands-on K Means, Hands-on Association Rules, Hands-on Supervised Learning Regression, Classification Train Test Split, Hands-on k Nearest Neighbors, Hands-on kNN Algo Implementation Support Vector Machine (SVM), Hands-on Support Vector Regression (SVR), Hands-on SVM (non linear svm params), Hands-on SVM kernel trick, Hands-on SVM mathematics Linear Regression, Hands-on Gradient Descent overview One Hot Encoding (Dummy vars) One Hot Encoding with Linear Regr, Hands-on Info about Datasets Who this course is for: python programmers, C/C++ programmers, working of scripting (like javascript), fresh developers and intermediate level programmers who want to learn Machine Learning Requirements working knowledge of python Last Updated 11/2020
Downloads:	146
Category:	Other /Tutorials
Size:	4.5 GB
Show Files »	Machine Learning made Easy Hands-on python [TutsNode.com] - Machine Learning made Easy Hands-on python 2. UnSupervised Machine Learning 15. Association Rules (with Practical).mp4 (319.1 MB) 1. Unsupervised Machine Learning - Overview.mp4 (143.2 MB) 1. Unsupervised Machine Learning - Overview.srt (20.9 KB) 2. Hierarchical Clustering Agglomerative Clustering.mp4 (142.9 MB) 2. Hierarchical Clustering Agglomerative Clustering.srt (26.7 KB) 3. Agglomerative Clustering (Demo1, Practical).mp4 (157.6 MB) 3. Agglomerative Clustering (Demo1, Practical).srt (18.5 KB) 3.1 SuperMarketData.zip (1.5 KB) 4. Agglomerative Clustering (Demo2, Practical).mp4 (170.6 MB) 4. Agglomerative Clustering (Demo2, Practical).srt (23.0 KB) 4.1 CreditCard_data.zip (328.1 KB) 5. DBSCAN Density based method.mp4 (200.9 MB) 5. DBSCAN Density based method.srt (33.2 KB) 6. DBSCAN- How to select eps (with Practical).mp4 (122.9 MB) 6. DBSCAN- How to select eps (with Practical).srt (18.7 KB) 7. DBSCAN- Algorithm (with Practical).mp4 (225.9 MB) 7. DBSCAN- Algorithm (with Practical).srt (29.3 KB) 7.1 SuperMarketData.zip (1.5 KB) 7.2 CreditCard_data.zip (328.1 KB) 8. Mean Shift Algorithm.mp4 (135.7 MB) 8. Mean Shift Algorithm.srt (23.9 KB) 9. Mean Shift Algorithm with Practical (1).mp4 (119.5 MB) 9. Mean Shift Algorithm with Practical (1).srt (16.1 KB) 10. Mean Shift Algorithm with Practical (2).mp4 (97.6 MB) 10. Mean Shift Algorithm with Practical (2).srt (12.6 KB) 10.1 SuperMarketData.zip (1.5 KB) 11. K Means Algorithm.mp4 (116.2 MB) 11. K Means Algorithm.srt (24.9 KB) 12. K Means Algorithm with Practical (1).mp4 (104.5 MB) 12. K Means Algorithm with Practical (1).srt (15.0 KB) 12.1 SuperMarketData.zip (1.5 KB) 13. K Means Algorithm with Practical (2).mp4 (89.4 MB) 13. K Means Algorithm with Practical (2).srt (12.5 KB) 13.1 income.zip (0.4 KB) 14. Association Rules.mp4 (240.4 MB) 14. Association Rules.srt (41.7 KB) 15. Association Rules (with Practical).srt (38.7 KB) 15.1 OnlineRetail_short.zip (2.0 MB) 1. Introduction 1. Machine Learning Course Contents.mp4 (26.2 MB) 1. Machine Learning Course Contents.srt (8.5 KB) 2. Machine Learning Introduction.mp4 (87.7 MB) 2. Machine Learning Introduction.srt (22.1 KB) 3. Deep Learning Introduction.mp4 (155.7 MB) 3. Deep Learning Introduction.srt (25.9 KB) 4. Prerequisite-Installations.mp4 (22.9 MB) 4. Prerequisite-Installations.srt (3.3 KB) 3. Supervised Machine Learning 1. Supervised Machine Learning - Overview.mp4 (138.8 MB) 1. Supervised Machine Learning - Overview.srt (25.1 KB) 2. Generating Training and Test Data (Train Test Split).mp4 (129.9 MB) 2. Generating Training and Test Data (Train Test Split).srt (23.1 KB) 2.1 VehiclePrices.zip (0.3 KB) 3. K Nearest Neighbors (kNN) Algorithm.mp4 (63.9 MB) 3. K Nearest Neighbors (kNN) Algorithm.srt (16.1 KB) 4. kNN Algorithm with Practical.mp4 (108.4 MB) 4. kNN Algorithm with Practical.srt (14.5 KB) 4.1 breast-cancer-wisconsin_1.zip (5.7 KB) 5. kNN Nearest Neighbors Implementation with Practical.mp4 (146.5 MB) 5. kNN Nearest Neighbors Implementation with Practical.srt (20.8 KB) 6. Support Vector Machine (SVM).mp4 (114.0 MB) 6. Support Vector Machine (SVM).srt (26.8 KB) 7. SVM - Practical (linear).mp4 (105.4 MB) 7. SVM - Practical (linear).srt (14.8 KB) 7.1 breast-cancer-wisconsin_1.zip (5.7 KB) 8. SVM - Support Vector Regression (SVR) with Practical.mp4 (154.1 MB) 8. SVM - Support Vector Regression (SVR) with Practical.srt (24.0 KB) 8.1 Position_Salaries.zip (0.3 KB) 9. SVM - Mathematics (Hyperplane).mp4 (190.7 MB) 9. SVM - Mathematics (Hyperplane).srt (42.6 KB) 10. Non Linear SVM parameters (with Practical).mp4 (204.6 MB) 10. Non Linear SVM parameters (with Practical).srt (29.8 KB) 11. SVM kernel trick for not linearly separable data (with Practical).mp4 (47.5 MB) 11. SVM kernel trick for not linearly separable data (with Practical).srt (6.7 KB) 12. Linear Regression.mp4 (45.2 MB) 12. Linear Regression.srt (12.5 KB) 13. Linear Regression (with Practical).mp4 (121.0 MB) 13. Linear Regression (with Practical).srt (16.9 KB) 13.1 realEstateRates.zip (0.2 KB) 13.2 realEstateRates_1.zip (0.2 KB) 14. Gradient Descent Overview.mp4 (60.7 MB) 14. Gradient Descent Overview.srt (11.2 KB) 15. One Hot Encoding (Dummy Variables).mp4 (75.6 MB) 15. One Hot Encoding (Dummy Variables).srt (17.1 KB) 16. One Hot Encoding (with Practical).mp4 (142.6 MB) 16. One Hot Encoding (with Practical).srt (19.1 KB) 16.1 realEstateRates_multipleCities.zip (0.3 KB) 17. Information about DataSets.mp4 (45.2 MB) 17. Information about DataSets.srt (6.0 KB) TutsNode.com.txt (0.1 KB) [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB) files
Added:	2020-11-25 11:01:58
Language:	English
Peers:	Seeders : 28 , Leechers : 33
Release name:	Udemy - Machine Learning made Easy : Hands-on python
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