[FreeTutorials.Eu] [UDEMY] Projects in Machine Learning Beginner To Professional - FTU]

File Name

Size

10. Project 5 Object Recognition/1.1 Object Recognition/Object Recognition/Object Recognition (HTML Notebook).html

399 kB

10. Project 5 Object Recognition/1.1 Object Recognition/Object Recognition/Object Recognition (Jupyter Notebook).ipynb

132 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/baboon.png

789 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/baby_GT.png

574 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/barbara.png

630 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/bird_GT.png

422 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/butterfly_GT.png

441 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/coastguard.png

403 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/comic.png

618 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/face.png

380 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/flowers.png

515 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/foreman.png

373 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/head_GT.png

385 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/lenna.png

598 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/monarch.png

460 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/pepper.png

654 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/ppt3.png

433 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/woman_GT.png

416 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/zebra.png

531 kB

12. Project 7 Text Classification/1.1 Text Classification/Text Classification/NLP for Text Classification (HTML).html

294 kB

12. Project 7 Text Classification/1.1 Text Classification/Text Classification/NLP for Text Classification (Jupyter Notebook).ipynb

27 kB

13. Project 8 - KMeans/1.1 KMeans/KMeans/KMeans Clustering for Imagery Analysis (HTML).html

386 kB

13. Project 8 - KMeans/1.1 KMeans/KMeans/KMeans Clustering for Imagery Analysis (Jupyter Notebook).ipynb

123 kB

14. Project 9 PCA/1.1 PCA/PCA/PCA Compression and Visualization (HTML).html

394 kB

14. Project 9 PCA/1.1 PCA/PCA/PCA Compression and Visualization (Jupyter Notebook).ipynb

132 kB

2. Supervised Learning - part 1/7.1 Supervised Learning/Supervised Learning/Unit 2 Project - Supervised Learning in Python (HTML Document).html

347 kB

2. Supervised Learning - part 1/7.1 Supervised Learning/Supervised Learning/Unit 2 Project - Supervised Learning in Python (Jupyter Notebook).ipynb

93 kB

3. Unsupervised Learning/5.1 Unsupervised Learning/Unsupervised Learning/Unit 3 Project - KMeans Clustering (HTML).html

290 kB

3. Unsupervised Learning/5.1 Unsupervised Learning/Unsupervised Learning/Unit 3 Project - KMeans Clustering (Jupyter Notebook).ipynb

39 kB

6. Warmup Project/1.1 Final Project/Final Project/Final Project (HTML).html

289 kB

6. Warmup Project/1.1 Final Project/Final Project/Final Project (Jupyter Notebook).ipynb

15 kB

7. Project 1Board Game Review Prediction/1.1 Board Game Review Predictions/Board Game Review Predictions/Board Game Review Prediction (HTML).html

319 kB

7. Project 1Board Game Review Prediction/1.1 Board Game Review Predictions/Board Game Review Predictions/Board Game Review Prediction (Jupyter Notebook).ipynb

68 kB

8. Project 2 Credit Card Fraud Detection/1.1 Credit Card Fraud Detection/Credit Card Fraud Detection/Credit Card Fraud Detection (HTML).html

399 kB

8. Project 2 Credit Card Fraud Detection/1.1 Credit Card Fraud Detection/Credit Card Fraud Detection/Credit Card Fraud Detection (Jupyter Notebook).ipynb

145 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/Image Super Resolution with the SRCNN (HTML Notebook).html

967 kB

11. Project 6 Image Super Resolution/1.1 Image Super Resolution/Image Super Resolution with the SRCNN (Jupyter Notebook).ipynb

701 kB

10. Project 5 Object Recognition/1. Intro.mp4

7.2 MB

10. Project 5 Object Recognition/1. Intro.srt

1.7 kB

10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4

180 MB

10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.srt

33 kB

10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4

206 MB

10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.srt

31 kB

10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4

171 MB

10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.srt

25 kB

11. Project 6 Image Super Resolution/1. Intro.mp4

9.6 MB

11. Project 6 Image Super Resolution/1. Intro.srt

1.5 kB

11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4

259 MB

11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.srt

44 kB

11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4

358 MB

11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.srt

55 kB

12. Project 7 Text Classification/1. Intro.mp4

5.0 MB

12. Project 7 Text Classification/1. Intro.srt

1.4 kB

12. Project 7 Text Classification/2. Feature Engineering.mp4

375 MB

12. Project 7 Text Classification/2. Feature Engineering.srt

56 kB

12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4

204 MB

12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt

32 kB

13. Project 8 - KMeans/1. Intro.mp4

11 MB

13. Project 8 - KMeans/1. Intro.srt

1.6 kB

13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4

231 MB

13. Project 8 - KMeans/2. Preprocessing Images for Clustering.srt

46 kB

13. Project 8 - KMeans/3. Evaluation and Visualization.mp4

210 MB

13. Project 8 - KMeans/3. Evaluation and Visualization.srt

35 kB

14. Project 9 PCA/1. Intro.mp4

3.7 MB

14. Project 9 PCA/1. Intro.srt

1.3 kB

14. Project 9 PCA/2. The Elbow Method.mp4

114 MB

14. Project 9 PCA/2. The Elbow Method.srt

29 kB

14. Project 9 PCA/3. PCA Compression and Visualization.mp4

185 MB

14. Project 9 PCA/3. PCA Compression and Visualization.srt

36 kB

1. An Introduction to Machine Learning/1. Introduction.mp4

1.7 MB

1. An Introduction to Machine Learning/1. Introduction.srt

1.6 kB

1. An Introduction to Machine Learning/2. What is Machine Learning.mp4

29 MB

1. An Introduction to Machine Learning/2. What is Machine Learning.srt

16 kB

1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4

53 MB

1. An Introduction to Machine Learning/3. Types and Applications of ML.srt

35 kB

1. An Introduction to Machine Learning/4. AI vs ML.mp4

23 MB

1. An Introduction to Machine Learning/4. AI vs ML.srt

12 kB

1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp4

36 MB

1. An Introduction to Machine Learning/5. Essential Math for ML and AI.srt

23 kB

1. An Introduction to Machine Learning/6.1 Unit 1 Quiz.pdf.pdf

64 kB

1. An Introduction to Machine Learning/6. Quiz- Questions- Section1.html

65 B

1. An Introduction to Machine Learning/7.1 Unit 1 Solutions.pdf.pdf

62 kB

1. An Introduction to Machine Learning/7. Quiz- Answers - Section 1.html

53 B

2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf

75 kB

2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html

53 B

2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4

26 MB

2. Supervised Learning - part 1/1. Introduction to Supervised Learning.srt

18 kB

2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4

34 MB

2. Supervised Learning - part 1/2. Linear Methods for Classification.srt

22 kB

2. Supervised Learning - part 1/3. Linear Methods for Regression.mp4

27 MB

2. Supervised Learning - part 1/3. Linear Methods for Regression.srt

15 kB

2. Supervised Learning - part 1/4. Support Vector Machines.mp4

36 MB

2. Supervised Learning - part 1/4. Support Vector Machines.srt

20 kB

2. Supervised Learning - part 1/5. Basis Expansions.mp4

21 MB

2. Supervised Learning - part 1/5. Basis Expansions.srt

14 kB

2. Supervised Learning - part 1/6. Model Selection Procedures.mp4

27 MB

2. Supervised Learning - part 1/6. Model Selection Procedures.srt

17 kB

2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp4

31 MB

2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.srt

19 kB

2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4

36 MB

2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.srt

18 kB

2. Supervised Learning - part 1/9.1 Unit 2 Quiz.pdf.pdf

53 kB

2. Supervised Learning - part 1/9. Quiz- Questions- Section 2.html

65 B

3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp4

32 MB

3. Unsupervised Learning/1. Introduction to Unsupervised Learning.srt

16 kB

3. Unsupervised Learning/2. Association Rules.mp4

28 MB

3. Unsupervised Learning/2. Association Rules.srt

19 kB

3. Unsupervised Learning/3. Cluster Analysis.mp4

28 MB

3. Unsupervised Learning/3. Cluster Analysis.srt

18 kB

3. Unsupervised Learning/4. Reinforcement Learning.mp4

21 MB

3. Unsupervised Learning/4. Reinforcement Learning.srt

22 kB

3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp4

22 MB

3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.srt

20 kB

3. Unsupervised Learning/6.1 Unit 3 Quiz.pdf.pdf

30 kB

3. Unsupervised Learning/6. Quiz- Questions- Section 3.html

65 B

3. Unsupervised Learning/7.1 Unit 3 Solutions.pdf.pdf

41 kB

3. Unsupervised Learning/7. Quiz- Answers - Section 3.html

53 B

4. Neural Networks/1. Introduction to Neural Networks.mp4

23 MB

4. Neural Networks/1. Introduction to Neural Networks.srt

18 kB

4. Neural Networks/2. The Perceptron.mp4

17 MB

4. Neural Networks/2. The Perceptron.srt

13 kB

4. Neural Networks/3. The Backpropagation Algorithm.mp4

23 MB

4. Neural Networks/3. The Backpropagation Algorithm.srt

16 kB

4. Neural Networks/4. Training Procedures.mp4

24 MB

4. Neural Networks/4. Training Procedures.srt

19 kB

4. Neural Networks/5. Convolutional Neural Networks.mp4

32 MB

4. Neural Networks/5. Convolutional Neural Networks.srt

22 kB

5. Real World Machine Learning/1. Introduction to Real World ML.mp4

26 MB

5. Real World Machine Learning/1. Introduction to Real World ML.srt

16 kB

5. Real World Machine Learning/2. Choosing an Algorithm.mp4

19 MB

5. Real World Machine Learning/2. Choosing an Algorithm.srt

13 kB

5. Real World Machine Learning/3. Design and Analysis of ML Experiments.mp4

20 MB

5. Real World Machine Learning/3. Design and Analysis of ML Experiments.srt

14 kB

5. Real World Machine Learning/4. Common Software for ML.mp4

31 MB

5. Real World Machine Learning/4. Common Software for ML.srt

15 kB

5. Real World Machine Learning/5.1 Unit 5 Quiz.pdf.pdf

35 kB

5. Real World Machine Learning/5. Quiz- Questions- Section 5.html

65 B

5. Real World Machine Learning/6.1 Unit 5 Solutions.pdf.pdf

47 kB

5. Real World Machine Learning/6. Quiz- Answers - Section 5.html

53 B

6. Warmup Project/1. Setting up OpenAI Gym.mp4

30 MB

6. Warmup Project/1. Setting up OpenAI Gym.srt

17 kB

6. Warmup Project/2. Building and Training the Network Part 1.mp4

36 MB

6. Warmup Project/2. Building and Training the Network Part 1.srt

20 kB

6. Warmup Project/3. Building and Training the Network Part 2.mp4

63 MB

6. Warmup Project/3. Building and Training the Network Part 2.srt

27 kB

7. Project 1Board Game Review Prediction/1. Intro.mp4

7.6 MB

7. Project 1Board Game Review Prediction/1. Intro.srt

2.0 kB

7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.mp4

18 MB

7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.srt

13 kB

7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.mp4

36 MB

7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.srt

20 kB

7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.mp4

36 MB

7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.srt

17 kB

8. Project 2 Credit Card Fraud Detection/1. Intro.mp4

7.6 MB

8. Project 2 Credit Card Fraud Detection/1. Intro.srt

2.8 kB

8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp4

38 MB

8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.srt

26 kB

8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp4

49 MB

8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.srt

25 kB

9. Project 4 Intro to Natural Language Processing/1. Intro.mp4

17 MB

9. Project 4 Intro to Natural Language Processing/1. Intro.srt

1.7 kB

9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4

198 MB

9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.srt

30 kB

9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4

323 MB

9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.srt

37 kB

9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4

217 MB

9. Project 4 Intro to Natural Language Processing/4. Text Classification.srt

30 kB

Discuss.FreeTutorials.Us.html

166 kB

FreeCoursesOnline.Me.html

108 kB

FreeTutorials.Eu.html

102 kB

Presented By SaM.txt

38 B

[TGx]Downloaded from torrentgalaxy.org.txt

524 B

Torrent Downloaded From GloDls.to.txt

84 B