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

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Report [GigaCourse Com] Udemy - Machine Learning & Deep Learning in Python & R
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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
4D33B004BDDDEFC1DE86CB8519C18E9D8815374E
Source
Unverified
Total Size
13.15 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
0. Websites you may like/[CourseClub.ME].url122 B
0. Websites you may like/[GigaCourse.Com].url49 B
1. Introduction/1. Introduction.mp429.4 MB
1. Introduction/1. Introduction.srt4.49 KB
1. Introduction/2. Course Resources.html370 B
10. Logistic Regression/1. Logistic Regression.mp432.93 MB
10. Logistic Regression/1. Logistic Regression.srt8.64 KB
10. Logistic Regression/10. Evaluating performance of model.mp435.17 MB
10. Logistic Regression/10. Evaluating performance of model.srt9.38 KB
10. Logistic Regression/11. Evaluating model performance in Python.mp49.02 MB
10. Logistic Regression/11. Evaluating model performance in Python.srt2.66 KB
10. Logistic Regression/12. Predicting probabilities, assigning classes and making Confusion Matrix in R.mp455.7 MB
10. Logistic Regression/12. Predicting probabilities, assigning classes and making Confusion Matrix in R.srt7.41 KB
10. Logistic Regression/2. Training a Simple Logistic Model in Python.mp447.87 MB
10. Logistic Regression/2. Training a Simple Logistic Model in Python.srt10.63 KB
10. Logistic Regression/3. Training a Simple Logistic model in R.mp425.57 MB
10. Logistic Regression/3. Training a Simple Logistic model in R.srt4.21 KB
10. Logistic Regression/4. Result of Simple Logistic Regression.mp426.94 MB
10. Logistic Regression/4. Result of Simple Logistic Regression.srt5.9 KB
10. Logistic Regression/5. Logistic with multiple predictors.mp48.53 MB
10. Logistic Regression/5. Logistic with multiple predictors.srt2.96 KB
10. Logistic Regression/6. Training multiple predictor Logistic model in Python.mp426.25 MB
10. Logistic Regression/6. Training multiple predictor Logistic model in Python.srt6.01 KB
10. Logistic Regression/7. Training multiple predictor Logistic model in R.mp415.78 MB
10. Logistic Regression/7. Training multiple predictor Logistic model in R.srt2.02 KB
10. Logistic Regression/8. Confusion Matrix.mp421.1 MB
10. Logistic Regression/8. Confusion Matrix.srt4.91 KB
10. Logistic Regression/9. Creating Confusion Matrix in Python.mp451.25 MB
10. Logistic Regression/9. Creating Confusion Matrix in Python.srt10.85 KB
11. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis.mp440.96 MB
11. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis.srt11.89 KB
11. Linear Discriminant Analysis (LDA)/2. LDA in Python.mp411.4 MB
11. Linear Discriminant Analysis (LDA)/2. LDA in Python.srt2.57 KB
11. Linear Discriminant Analysis (LDA)/3. Linear Discriminant Analysis in R.mp474.36 MB
11. Linear Discriminant Analysis (LDA)/3. Linear Discriminant Analysis in R.srt10.22 KB
12. K-Nearest Neighbors classifier/1. Test-Train Split.mp439.3 MB
12. K-Nearest Neighbors classifier/1. Test-Train Split.srt10.59 KB
12. K-Nearest Neighbors classifier/2. Test-Train Split in Python.mp433.1 MB
12. K-Nearest Neighbors classifier/2. Test-Train Split in Python.srt7.39 KB
12. K-Nearest Neighbors classifier/3. Test-Train Split in R.mp474.23 MB
12. K-Nearest Neighbors classifier/3. Test-Train Split in R.srt9.81 KB
12. K-Nearest Neighbors classifier/4. K-Nearest Neighbors classifier.mp475.42 MB
12. K-Nearest Neighbors classifier/4. K-Nearest Neighbors classifier.srt9.98 KB
12. K-Nearest Neighbors classifier/5. K-Nearest Neighbors in Python Part 1.mp437.23 MB
12. K-Nearest Neighbors classifier/5. K-Nearest Neighbors in Python Part 1.srt5.83 KB
12. K-Nearest Neighbors classifier/6. K-Nearest Neighbors in Python Part 2.mp442.36 MB
12. K-Nearest Neighbors classifier/6. K-Nearest Neighbors in Python Part 2.srt6.93 KB
12. K-Nearest Neighbors classifier/7. K-Nearest Neighbors in R.mp464.85 MB
12. K-Nearest Neighbors classifier/7. K-Nearest Neighbors in R.srt8.98 KB
13. Comparing results from 3 models/1. Understanding the results of classification models.mp441.64 MB
13. Comparing results from 3 models/1. Understanding the results of classification models.srt7.52 KB
13. Comparing results from 3 models/2. Summary of the three models.mp422.22 MB
13. Comparing results from 3 models/2. Summary of the three models.srt5.96 KB
14. Simple Decision Trees/1. Basics of Decision Trees.mp442.64 MB
14. Simple Decision Trees/1. Basics of Decision Trees.srt11.27 KB
14. Simple Decision Trees/10. Test-Train split in Python.mp424.87 MB
14. Simple Decision Trees/10. Test-Train split in Python.srt6.17 KB
14. Simple Decision Trees/11. Splitting Data into Test and Train Set in R.mp443.98 MB
14. Simple Decision Trees/11. Splitting Data into Test and Train Set in R.srt5.83 KB
14. Simple Decision Trees/12. Creating Decision tree in Python.mp417.87 MB
14. Simple Decision Trees/12. Creating Decision tree in Python.srt4.31 KB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4103.34 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.srt15.5 KB
14. Simple Decision Trees/14. Evaluating model performance in Python.mp416.44 MB
14. Simple Decision Trees/14. Evaluating model performance in Python.srt4.73 KB
14. Simple Decision Trees/15. Plotting decision tree in Python.mp421.48 MB
14. Simple Decision Trees/15. Plotting decision tree in Python.srt5.29 KB
14. Simple Decision Trees/16. Pruning a tree.mp418.46 MB
14. Simple Decision Trees/16. Pruning a tree.srt4.54 KB
14. Simple Decision Trees/17. Pruning a tree in Python.mp473.5 MB
14. Simple Decision Trees/17. Pruning a tree in Python.srt10.72 KB
14. Simple Decision Trees/18. Pruning a Tree in R.mp482.1 MB
14. Simple Decision Trees/18. Pruning a Tree in R.srt9.66 KB
14. Simple Decision Trees/2. Understanding a Regression Tree.mp443.72 MB
14. Simple Decision Trees/2. Understanding a Regression Tree.srt11.91 KB
14. Simple Decision Trees/3. The stopping criteria for controlling tree growth.mp413.98 MB
14. Simple Decision Trees/3. The stopping criteria for controlling tree growth.srt3.51 KB
14. Simple Decision Trees/4. The Data set for this part.mp437.26 MB
14. Simple Decision Trees/4. The Data set for this part.srt3.28 KB
14. Simple Decision Trees/5. Importing the Data set into Python.mp425.85 MB
14. Simple Decision Trees/5. Importing the Data set into Python.srt5.88 KB
14. Simple Decision Trees/6. Importing the Data set into R.mp443.7 MB
14. Simple Decision Trees/6. Importing the Data set into R.srt7.24 KB
14. Simple Decision Trees/7. Missing value treatment in Python.mp417.93 MB
14. Simple Decision Trees/7. Missing value treatment in Python.srt3.73 KB
14. Simple Decision Trees/8. Dummy Variable creation in Python.mp424.94 MB
14. Simple Decision Trees/8. Dummy Variable creation in Python.srt5.34 KB
14. Simple Decision Trees/9. Dependent- Independent Data split in Python.mp415.18 MB
14. Simple Decision Trees/9. Dependent- Independent Data split in Python.srt4.24 KB
15. Simple Classification Tree/1. Classification tree.mp428.2 MB
15. Simple Classification Tree/1. Classification tree.srt6.72 KB
15. Simple Classification Tree/2. The Data set for Classification problem.mp418.57 MB
15. Simple Classification Tree/2. The Data set for Classification problem.srt1.91 KB
15. Simple Classification Tree/3. Classification tree in Python Preprocessing.mp445.38 MB
15. Simple Classification Tree/3. Classification tree in Python Preprocessing.srt8.92 KB
15. Simple Classification Tree/4. Classification tree in Python Training.mp482.72 MB
15. Simple Classification Tree/4. Classification tree in Python Training.srt14.51 KB
15. Simple Classification Tree/5. Building a classification Tree in R.mp485.1 MB
15. Simple Classification Tree/5. Building a classification Tree in R.srt10.13 KB
15. Simple Classification Tree/6. Advantages and Disadvantages of Decision Trees.mp46.86 MB

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