[FTUForum com] [UDEMY] Beginner to Advanced Guide on Machine Learning with R Tool [FTU]

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[FTUForum com] [UDEMY] Beginner to Advanced Guide on Machine Learning with R Tool [FTU]
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Torrent File Content (99 files)

[FTUForum.com] [UDEMY] Beginner to Advanced Guide on Machine Learning with R Tool [FTU]
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5. (Discuss.FTUForum.com) FTU Discussion Forum.url -

294 bytes

How you can help Team-FTU.txt -

237 bytes

1. Module-1 Introduction to Course
1. 1.1 Introduction to the Course.mp4 -

17.68 MB

1. 1.1 Introduction to the Course.vtt -

2.51 KB

2. 1.2 Pre-Requisite.mp4 -

3.51 MB

2. 1.2 Pre-Requisite.vtt -

776 bytes

3. 1.3 What you will Learn.mp4 -

3.7 MB

3. 1.3 What you will Learn.vtt -

1.9 KB

4. 1.4 Techniques of Machine Learning.mp4 -

6.06 MB

4. 1.4 Techniques of Machine Learning.vtt -

4.15 KB

2. Module-2 Introduction to validation and its Methods
1. 2.1 Introduction to Cross Validation.mp4 -

3.45 MB

1. 2.1 Introduction to Cross Validation.vtt -

2.36 KB

2. 2.2 Cross Validation Method.mp4 -

5.33 MB

2. 2.2 Cross Validation Method.vtt -

3.58 KB

3.1 Programs.zip.zip -

10.96 KB

3. 2.3 Caret package.mp4 -

15.76 MB

3. 2.3 Caret package.vtt -

8.21 KB

3. Module-3 Classification
1. 3.1 Introduction to Classification.mp4 -

3.21 MB

1. 3.1 Introduction to Classification.vtt -

1.85 KB

2. 3.2 KNN- K Nearest Neighbors.mp4 -

6.08 MB

2. 3.2 KNN- K Nearest Neighbors.vtt -

3.64 KB

3.1 Programs.zip.zip -

10.96 KB

3. 3.3 Implementation of KNN Algorithm.mp4 -

14.67 MB

3. 3.3 Implementation of KNN Algorithm.vtt -

6.58 KB

4. 3.4 Naive-Bayes Classifier.mp4 -

5.01 MB

4. 3.4 Naive-Bayes Classifier.vtt -

3.03 KB

5.1 Programs.zip.zip -

10.96 KB

5. 3.5 Implementation of Naive-Bayes Classifier.mp4 -

34.04 MB

5. 3.5 Implementation of Naive-Bayes Classifier.vtt -

14.8 KB

6. 3.6 Linear Discriminant Analysis.mp4 -

2.36 MB

6. 3.6 Linear Discriminant Analysis.vtt -

1.24 KB

7.1 Programs.zip.zip -

10.96 KB

7. 3.7 Implementation of Linear Discriminant Analysis.mp4 -

6.4 MB

7. 3.7 Implementation of Linear Discriminant Analysis.vtt -

2.91 KB

4. Module-4 Black Box Method-Neural network and SVM
1. 4.1 Introduction to Artificial Neural Network.mp4 -

3.16 MB

1. 4.1 Introduction to Artificial Neural Network.vtt -

1.62 KB

2. 4.2 Conceptualizing of Neural Network.mp4 -

5.32 MB

2. 4.2 Conceptualizing of Neural Network.vtt -

2.47 KB

3.1 Programs.zip.zip -

10.96 KB

3. 4.3 Implement Neural Network in R.mp4 -

12.31 MB

3. 4.3 Implement Neural Network in R.vtt -

4.94 KB

4. 4.4 Back Propagation.mp4 -

2.64 MB

4. 4.4 Back Propagation.vtt -

1.64 KB

5.1 Programs.zip.zip -

10.96 KB

5. 4.5 Implementation of Back Propagation Network.mp4 -

4.29 MB

5. 4.5 Implementation of Back Propagation Network.vtt -

1.52 KB

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