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TORRENT DETAILS

[GigaCourse.Com] Udemy - Machine Learning & Deep Learning In Python & R

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	3adec4ca542730df24b2184e3c5deaee6e240a56
Size:	12.6 GB in 97 files
Release Date(s):	Torrent Release: 01-05-2023 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

DESCRIPTION

Machine Learning & Deep Learning in Python & R

Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R

Created by Start-Tech Academy

Last updated 3/2023

English

English [Auto]

TO GET DIRECT DOWNLOAD LINKS OR GOOGLE DRIVE LINKS VISIT OUR WEBSITE

FOR MORE UDEMY AND OTHER COURSES VISIT: https://gigacourse.com
FOR MORE OTHER COURSES VISIT: https://Courseclub.me

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FILE LIST

Filename		Size
	1. Introduction/1. Introduction.mp4	29.4 MB
	1. Introduction/1. Introduction.srt	4.6 KB
	1. Introduction/2. Course Resources.html	370 B
	10. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis.mp4	41 MB
	10. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis.srt	12.3 KB
	10. Linear Discriminant Analysis (LDA)/2. LDA in Python.mp4	11.4 MB
	10. Linear Discriminant Analysis (LDA)/2. LDA in Python.srt	2.6 KB
	10. Linear Discriminant Analysis (LDA)/3. Linear Discriminant Analysis in R.mp4	74.3 MB
	10. Linear Discriminant Analysis (LDA)/3. Linear Discriminant Analysis in R.srt	10.5 KB
	11. K-Nearest Neighbors classifier/1. Test-Train Split.mp4	39.3 MB
	11. K-Nearest Neighbors classifier/1. Test-Train Split.srt	11 KB
	11. K-Nearest Neighbors classifier/2. Test-Train Split in Python.mp4	33.1 MB
	11. K-Nearest Neighbors classifier/2. Test-Train Split in Python.srt	7.6 KB
	11. K-Nearest Neighbors classifier/3. Test-Train Split in R.mp4	74.2 MB
	11. K-Nearest Neighbors classifier/3. Test-Train Split in R.srt	10.3 KB
	11. K-Nearest Neighbors classifier/4. K-Nearest Neighbors classifier.mp4	75.4 MB
	11. K-Nearest Neighbors classifier/4. K-Nearest Neighbors classifier.srt	10.3 KB
	11. K-Nearest Neighbors classifier/5. K-Nearest Neighbors in Python Part 1.mp4	37.2 MB
	11. K-Nearest Neighbors classifier/5. K-Nearest Neighbors in Python Part 1.srt	5.9 KB
	11. K-Nearest Neighbors classifier/6. K-Nearest Neighbors in Python Part 2.mp4	42.4 MB
	11. K-Nearest Neighbors classifier/6. K-Nearest Neighbors in Python Part 2.srt	6.9 KB
	11. K-Nearest Neighbors classifier/7. K-Nearest Neighbors in R.mp4	64.9 MB
	11. K-Nearest Neighbors classifier/7. K-Nearest Neighbors in R.srt	9.4 KB
	12. Comparing results from 3 models/1. Understanding the results of classification models.mp4	41.6 MB
	12. Comparing results from 3 models/1. Understanding the results of classification models.srt	7.8 KB
	12. Comparing results from 3 models/2. Summary of the three models.mp4	22.2 MB
	12. Comparing results from 3 models/2. Summary of the three models.srt	6.2 KB
	13. Simple Decision Trees/1. Introduction to Decision trees.mp4	44.8 MB
	13. Simple Decision Trees/1. Introduction to Decision trees.srt	4.7 KB
	13. Simple Decision Trees/10. Test-Train split in Python.mp4	25.6 MB
	13. Simple Decision Trees/10. Test-Train split in Python.srt	5.3 KB
	13. Simple Decision Trees/11. Splitting Data into Test and Train Set in R.mp4	44 MB
	13. Simple Decision Trees/11. Splitting Data into Test and Train Set in R.srt	7.3 KB
	13. Simple Decision Trees/12. Creating Decision tree in Python.mp4	17.9 MB
	13. Simple Decision Trees/12. Creating Decision tree in Python.srt	4.3 KB
	13. Simple Decision Trees/13. Building a Regression Tree in R.mp4	103.3 MB
	13. Simple Decision Trees/13. Building a Regression Tree in R.srt	18.9 KB
	13. Simple Decision Trees/14. Evaluating model performance in Python.mp4	16.4 MB
	13. Simple Decision Trees/14. Evaluating model performance in Python.srt	4.8 KB
	13. Simple Decision Trees/15. Plotting decision tree in Python.mp4	21.5 MB
	13. Simple Decision Trees/15. Plotting decision tree in Python.srt	5.5 KB
	13. Simple Decision Trees/16. Pruning a tree.mp4	18.5 MB
	13. Simple Decision Trees/16. Pruning a tree.srt	5.4 KB
	13. Simple Decision Trees/17. Pruning a tree in Python.mp4	73.5 MB
	13. Simple Decision Trees/17. Pruning a tree in Python.srt	11.1 KB
	13. Simple Decision Trees/18. Pruning a Tree in R.mp4	82.1 MB
	13. Simple Decision Trees/18. Pruning a Tree in R.srt	11.8 KB
	13. Simple Decision Trees/2. Basics of Decision Trees.mp4	42.7 MB
	13. Simple Decision Trees/2. Basics of Decision Trees.srt	13.2 KB
	13. Simple Decision Trees/3. Understanding a Regression Tree.mp4	43.7 MB
	13. Simple Decision Trees/3. Understanding a Regression Tree.srt	14 KB
	13. Simple Decision Trees/4. The stopping criteria for controlling tree growth.mp4	14 MB
	13. Simple Decision Trees/4. The stopping criteria for controlling tree growth.srt	4.3 KB
	13. Simple Decision Trees/5. Importing the Data set into Python.mp4	15.9 MB
	13. Simple Decision Trees/5. Importing the Data set into Python.srt	3.1 KB
	13. Simple Decision Trees/6. Importing the Data set into R.mp4	43.7 MB
	13. Simple Decision Trees/6. Importing the Data set into R.srt	8.8 KB
	13. Simple Decision Trees/7. Missing value treatment in Python.mp4	12.9 MB
	13. Simple Decision Trees/7. Missing value treatment in Python.srt	2.3 KB
	13. Simple Decision Trees/8. Dummy Variable creation in Python.mp4	24.6 MB
	13. Simple Decision Trees/8. Dummy Variable creation in Python.srt	4.5 KB
	13. Simple Decision Trees/9. Dependent- Independent Data split in Python.mp4	16.9 MB
	13. Simple Decision Trees/9. Dependent- Independent Data split in Python.srt	3.8 KB
	14. Simple Classification Tree/1. Classification tree.mp4	28.2 MB
	14. Simple Classification Tree/1. Classification tree.srt	8.1 KB
	14. Simple Classification Tree/2. The Data set for Classification problem.mp4	18.6 MB
	14. Simple Classification Tree/2. The Data set for Classification problem.srt	2.4 KB
	14. Simple Classification Tree/3. Classification tree in Python Preprocessing.mp4	45.4 MB
	14. Simple Classification Tree/3. Classification tree in Python Preprocessing.srt	9.1 KB
	14. Simple Classification Tree/4. Classification tree in Python Training.mp4	82.7 MB
	14. Simple Classification Tree/4. Classification tree in Python Training.srt	14.9 KB
	14. Simple Classification Tree/5. Building a classification Tree in R.mp4	85.1 MB
	14. Simple Classification Tree/5. Building a classification Tree in R.srt	11.9 KB
	14. Simple Classification Tree/6. Advantages and Disadvantages of Decision Trees.mp4	6.9 MB
	14. Simple Classification Tree/6. Advantages and Disadvantages of Decision Trees.srt	2.2 KB
	15. Ensemble technique 1 - Bagging/1. Ensemble technique 1 - Bagging.mp4	28.1 MB
	15. Ensemble technique 1 - Bagging/1. Ensemble technique 1 - Bagging.srt	7.6 KB
	15. Ensemble technique 1 - Bagging/2. Ensemble technique 1 - Bagging in Python.mp4	77.3 MB
	15. Ensemble technique 1 - Bagging/2. Ensemble technique 1 - Bagging in Python.srt	12.6 KB
	15. Ensemble technique 1 - Bagging/3. Bagging in R.mp4	59 MB
	15. Ensemble technique 1 - Bagging/3. Bagging in R.srt	8.2 KB
	16. Ensemble technique 2 - Random Forests/1. Ensemble technique 2 - Random Forests.mp4	18.2 MB
	16. Ensemble technique 2 - Random Forests/1. Ensemble technique 2 - Random Forests.srt	5.1 KB
	16. Ensemble technique 2 - Random Forests/2. Ensemble technique 2 - Random Forests in Python.mp4	46.7 MB
	16. Ensemble technique 2 - Random Forests/2. Ensemble technique 2 - Random Forests in Python.srt	6.9 KB
	16. Ensemble technique 2 - Random Forests/3. Using Grid Search in Python.mp4	80.7 MB
	16. Ensemble technique 2 - Random Forests/3. Using Grid Search in Python.srt	14 KB
	16. Ensemble technique 2 - Random Forests/4. Random Forest in R.mp4	30.7 MB
	16. Ensemble technique 2 - Random Forests/4. Random Forest in R.srt	5.6 KB
	17. Ensemble technique 3 - Boosting/1. Boosting.mp4	30.6 MB
	17. Ensemble technique 3 - Boosting/1. Boosting.srt	9.6 KB
	17. Ensemble technique 3 - Boosting/2. Ensemble technique 3a - Boosting in Python.mp4	39.9 MB
	17. Ensemble technique 3 - Boosting/2. Ensemble technique 3a - Boosting in Python.srt	5.6 KB
	17. Ensemble technique 3 - Boosting/3. Gradient Boosting in R.mp4	69.1 MB
	17. Ensemble technique 3 - Boosting/3. Gradient Boosting in R.srt	9.6 KB
	17. Ensemble technique 3 - Boosting/4. Ensemble technique 3b - AdaBoost in Python.mp4	30.5 MB
	17. Ensemble technique 3 - Boosting/4. Ensemble technique 3b - AdaBoost in Python.srt	4.5 KB

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