17 OCT 2024 - Welcome Back to TorrentFunk!
Get your pirate hat back out. Streaming is dying and torrents are the new trend.
Account Registration works again and so do Torrent Uploads.
We invite you all to start uploading torrents again!

TORRENT DETAILS

[Tutorialsplanet.NET] Udemy - Data Science Supervised Machine Learning In Python

TORRENT SUMMARY

	Status:	This torrent has NOT been verified.
Category:	Other
Infohash	20e70ea2fe4e2f2adcd081cb21877d2f67612401
Size:	1.2 GB in 99 files
Release Date(s):	Torrent Release: 20-04-2020 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

DESCRIPTION

VISITOR COMMENTS (0

)

FILE LIST

Filename		Size
	1. Introduction and Review/1. Introduction and Outline.mp4	7.6 MB
	1. Introduction and Review/1. Introduction and Outline.srt	5.7 KB
	1. Introduction and Review/2. Review of Important Concepts.mp4	6 MB
	1. Introduction and Review/2. Review of Important Concepts.srt	4.4 KB
	1. Introduction and Review/3. Where to get the Code and Data.mp4	3.9 MB
	1. Introduction and Review/3. Where to get the Code and Data.srt	2.6 KB
	1. Introduction and Review/4. How to Succeed in this Course.mp4	3.3 MB
	1. Introduction and Review/4. How to Succeed in this Course.srt	4 KB
	2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4	17.6 MB
	2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.srt	4.9 KB
	2. K-Nearest Neighbor/2. K-Nearest Neighbor Concepts.mp4	8.6 MB
	2. K-Nearest Neighbor/2. K-Nearest Neighbor Concepts.srt	6.3 KB
	2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4	18 MB
	2. K-Nearest Neighbor/3. KNN in Code with MNIST.srt	32.4 MB
	2. K-Nearest Neighbor/4. When KNN Can Fail.mp4	7.7 MB
	2. K-Nearest Neighbor/4. When KNN Can Fail.srt	4.6 KB
	2. K-Nearest Neighbor/5. KNN for the XOR Problem.mp4	4.3 MB
	2. K-Nearest Neighbor/5. KNN for the XOR Problem.srt	2.2 KB
	2. K-Nearest Neighbor/6. KNN for the Donut Problem.mp4	5.4 MB
	2. K-Nearest Neighbor/6. KNN for the Donut Problem.srt	71.2 MB
	2. K-Nearest Neighbor/7. Effect of K.mp4	35.8 MB
	2. K-Nearest Neighbor/7. Effect of K.srt	42.5 MB
	2. K-Nearest Neighbor/8. KNN Exercise.mp4	16.9 MB
	2. K-Nearest Neighbor/8. KNN Exercise.srt	5.5 KB
	3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4	80.2 MB
	3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).srt	22.9 KB
	3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4	50.1 MB
	3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).srt	12.8 KB
	3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.mp4	15.7 MB
	3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.srt	11.5 KB
	3. Naive Bayes and Bayes Classifiers/4. Naive Bayes Handwritten Example.mp4	5.8 MB
	3. Naive Bayes and Bayes Classifiers/4. Naive Bayes Handwritten Example.srt	3.6 KB
	3. Naive Bayes and Bayes Classifiers/5. Naive Bayes in Code with MNIST.mp4	14.4 MB
	3. Naive Bayes and Bayes Classifiers/5. Naive Bayes in Code with MNIST.srt	4.8 KB
	3. Naive Bayes and Bayes Classifiers/6. Non-Naive Bayes.mp4	7.3 MB
	3. Naive Bayes and Bayes Classifiers/6. Non-Naive Bayes.srt	4.9 KB
	3. Naive Bayes and Bayes Classifiers/7. Bayes Classifier in Code with MNIST.mp4	4.4 MB
	3. Naive Bayes and Bayes Classifiers/7. Bayes Classifier in Code with MNIST.srt	6.2 MB
	3. Naive Bayes and Bayes Classifiers/8. Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA).mp4	10.3 MB
	3. Naive Bayes and Bayes Classifiers/8. Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA).srt	7.4 KB
	3. Naive Bayes and Bayes Classifiers/9. Generative vs Discriminative Models.mp4	5.1 MB
	3. Naive Bayes and Bayes Classifiers/9. Generative vs Discriminative Models.srt	3.1 KB
	4. Decision Trees/1. Decision Tree Intuition.mp4	20.4 MB
	4. Decision Trees/1. Decision Tree Intuition.srt	5.6 KB
	4. Decision Trees/2. Decision Tree Basics.mp4	8.3 MB
	4. Decision Trees/2. Decision Tree Basics.srt	6.2 KB
	4. Decision Trees/3. Information Entropy.mp4	7 MB
	4. Decision Trees/3. Information Entropy.srt	4.3 KB
	4. Decision Trees/4. Maximizing Information Gain.mp4	14 MB
	4. Decision Trees/4. Maximizing Information Gain.srt	9.6 KB
	4. Decision Trees/5. Choosing the Best Split.mp4	6.7 MB
	4. Decision Trees/5. Choosing the Best Split.srt	4.8 KB
	4. Decision Trees/6. Decision Tree in Code.mp4	30.3 MB
	4. Decision Trees/6. Decision Tree in Code.srt	11.1 KB
	5. Perceptrons/1. Perceptron Concepts.mp4	12.2 MB
	5. Perceptrons/1. Perceptron Concepts.srt	8.7 KB
	5. Perceptrons/2. Perceptron in Code.mp4	13.8 MB
	5. Perceptrons/2. Perceptron in Code.srt	4.7 KB
	5. Perceptrons/3. Perceptron for MNIST and XOR.mp4	8.7 MB
	5. Perceptrons/3. Perceptron for MNIST and XOR.srt	2.3 KB
	5. Perceptrons/4. Perceptron Loss Function.mp4	6.3 MB
	5. Perceptrons/4. Perceptron Loss Function.srt	4.9 KB
	6. Practical Machine Learning/1. Hyperparameters and Cross-Validation.mp4	7.4 MB
	6. Practical Machine Learning/1. Hyperparameters and Cross-Validation.srt	5.1 KB
	6. Practical Machine Learning/2. Feature Extraction and Feature Selection.mp4	7.1 MB
	6. Practical Machine Learning/2. Feature Extraction and Feature Selection.srt	4.8 KB
	6. Practical Machine Learning/3. Comparison to Deep Learning.mp4	8.7 MB
	6. Practical Machine Learning/3. Comparison to Deep Learning.srt	6.1 KB
	6. Practical Machine Learning/4. Multiclass Classification.mp4	5.7 MB
	6. Practical Machine Learning/4. Multiclass Classification.srt	4.1 KB
	6. Practical Machine Learning/5. Sci-Kit Learn.mp4	15.8 MB
	6. Practical Machine Learning/5. Sci-Kit Learn.srt	11.1 KB
	6. Practical Machine Learning/6. Regression with Sci-Kit Learn is Easy.mp4	10.7 MB
	6. Practical Machine Learning/6. Regression with Sci-Kit Learn is Easy.srt	6.1 KB
	7. Building a Machine Learning Web Service/1. Building a Machine Learning Web Service Concepts.mp4	7.2 MB
	7. Building a Machine Learning Web Service/1. Building a Machine Learning Web Service Concepts.srt	5.4 KB
	7. Building a Machine Learning Web Service/2. Building a Machine Learning Web Service Code.mp4	11.9 MB
	7. Building a Machine Learning Web Service/2. Building a Machine Learning Web Service Code.srt	7.4 KB
	8. Conclusion/1. What’s Next Support Vector Machines and Ensemble Methods (e.g. Random Forest).mp4	6.3 MB
	8. Conclusion/1. What’s Next Support Vector Machines and Ensemble Methods (e.g. Random Forest).srt	3.5 KB
	9. Appendix FAQ/1. What is the Appendix.mp4	5.5 MB
	9. Appendix FAQ/1. What is the Appendix.srt	3.7 KB
	9. Appendix FAQ/10. Python 2 vs Python 3.mp4	7.8 MB
	9. Appendix FAQ/10. Python 2 vs Python 3.srt	6.1 KB
	9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4	29.3 MB
	9. Appendix FAQ/11. What order should I take your courses in (part 1).srt	16 KB
	9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4	37.6 MB
	9. Appendix FAQ/12. What order should I take your courses in (part 2).srt	37.6 MB
	9. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4	37.8 MB
	9. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt	7.9 KB
	9. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4	186.4 MB
	9. Appendix FAQ/3. Windows-Focused Environment Setup 2018.srt	20.1 KB
	9. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4	43.9 MB
	9. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.srt	14.5 KB
	9. Appendix FAQ/5. How to Code by Yourself (part 1).mp4	24.5 MB
	9. Appendix FAQ/5. How to Code by Yourself (part 1).srt	22.8 KB
	9. Appendix FAQ/6. How to Code by Yourself (part 2).mp4	14.8 MB
	9. Appendix FAQ/6. How to Code by Yourself (part 2).srt	13.3 KB
	9. Appendix FAQ/7. How to Succeed in this Course (Long Version).mp4	13 MB

RELATED DOWNLOADS

Torrent Name

Added

Size

Seeds

Peers

Uploader

Health