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Download [UdemyCourseDownloader] Projects in Machine Learning Beginner To Professional

UdemyCourseDownloader Projects in Machine Learning Beginner To Professional

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[UdemyCourseDownloader] Projects in Machine Learning Beginner To Professional

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Total Size

4.6 GB

Total Files

143

Hash

5BF0F2A2B82EBFFB09381C53ADC659F6AD22CFAE

/12. Project 7 Text Classification/

2. Feature Engineering.mp4

393.6 MB

1. Intro.mp4

5.2 MB

1. Intro.srt

1.4 KB

1.1 Text Classification.zip.zip

56.7 KB

2. Feature Engineering.srt

57.8 KB

3. Deploying Sklearn Classifiers.mp4

214.2 MB

3. Deploying Sklearn Classifiers.srt

33.1 KB

/

udemycoursedownloader.com.url

0.1 KB

Udemy Course downloader.txt

0.1 KB

/1. An Introduction to Machine Learning/

1. Introduction.mp4

1.8 MB

1. Introduction.srt

1.7 KB

2. What is Machine Learning.mp4

30.6 MB

2. What is Machine Learning.srt

16.2 KB

3. Types and Applications of ML.mp4

55.6 MB

3. Types and Applications of ML.srt

35.6 KB

4. AI vs ML.mp4

24.0 MB

4. AI vs ML.srt

12.8 KB

5. Essential Math for ML and AI.mp4

37.5 MB

5. Essential Math for ML and AI.srt

23.9 KB

6. Quiz- Questions- Section1.html

0.1 KB

6.1 Unit 1 Quiz.pdf.pdf

66.1 KB

7. Quiz- Answers - Section 1.html

0.1 KB

7.1 Unit 1 Solutions.pdf.pdf

63.2 KB

/2. Supervised Learning - part 1/

1. Introduction to Supervised Learning.mp4

26.7 MB

1. Introduction to Supervised Learning.srt

18.7 KB

2. Linear Methods for Classification.mp4

35.8 MB

2. Linear Methods for Classification.srt

22.5 KB

3. Linear Methods for Regression.mp4

28.3 MB

3. Linear Methods for Regression.srt

15.1 KB

4. Support Vector Machines.mp4

37.5 MB

4. Support Vector Machines.srt

20.9 KB

5. Basis Expansions.mp4

22.4 MB

5. Basis Expansions.srt

14.4 KB

6. Model Selection Procedures.mp4

28.2 MB

6. Model Selection Procedures.srt

17.5 KB

7. Bonus! Supervised Learning Project in Python Part 1.mp4

32.5 MB

7. Bonus! Supervised Learning Project in Python Part 1.srt

19.4 KB

7.1 Supervised Learning.zip.zip

171.2 KB

8. Bonus! Supervised Learning Project in Python Part 2.mp4

38.0 MB

8. Bonus! Supervised Learning Project in Python Part 2.srt

18.2 KB

9. Quiz- Questions- Section 2.html

0.1 KB

9.1 Unit 2 Quiz.pdf.pdf

54.2 KB

10. Quiz- Answers - Section 2.html

0.1 KB

10.1 Unit 2 Solutions.pdf.pdf

77.1 KB

/3. Unsupervised Learning/

1. Introduction to Unsupervised Learning.mp4

33.3 MB

1. Introduction to Unsupervised Learning.srt

16.2 KB

2. Association Rules.mp4

29.9 MB

2. Association Rules.srt

19.2 KB

3. Cluster Analysis.mp4

29.3 MB

3. Cluster Analysis.srt

18.3 KB

4. Reinforcement Learning.mp4

22.0 MB

4. Reinforcement Learning.srt

22.9 KB

5. Bonus! KMeans Clustering Project.mp4

23.0 MB

5. Bonus! KMeans Clustering Project.srt

20.2 KB

5.1 Unsupervised Learning.zip.zip

94.7 KB

6. Quiz- Questions- Section 3.html

0.1 KB

6.1 Unit 3 Quiz.pdf.pdf

30.5 KB

7. Quiz- Answers - Section 3.html

0.1 KB

7.1 Unit 3 Solutions.pdf.pdf

42.2 KB

/4. Neural Networks/

1. Introduction to Neural Networks.mp4

23.8 MB

1. Introduction to Neural Networks.srt

18.0 KB

2. The Perceptron.mp4

17.9 MB

2. The Perceptron.srt

13.7 KB

3. The Backpropagation Algorithm.mp4

23.7 MB

3. The Backpropagation Algorithm.srt

16.5 KB

4. Training Procedures.mp4

25.2 MB

4. Training Procedures.srt

19.2 KB

5. Convolutional Neural Networks.mp4

33.6 MB

5. Convolutional Neural Networks.srt

22.3 KB

/5. Real World Machine Learning/

1. Introduction to Real World ML.mp4

26.8 MB

1. Introduction to Real World ML.srt

16.8 KB

2. Choosing an Algorithm.mp4

20.1 MB

2. Choosing an Algorithm.srt

13.6 KB

3. Design and Analysis of ML Experiments.mp4

20.8 MB

3. Design and Analysis of ML Experiments.srt

14.8 KB

4. Common Software for ML.mp4

32.8 MB

4. Common Software for ML.srt

15.5 KB

5. Quiz- Questions- Section 5.html

0.1 KB

5.1 Unit 5 Quiz.pdf.pdf

36.1 KB

6. Quiz- Answers - Section 5.html

0.1 KB

6.1 Unit 5 Solutions.pdf.pdf

48.3 KB

/6. Warmup Project/

1. Setting up OpenAI Gym.mp4

31.6 MB

1. Setting up OpenAI Gym.srt

17.6 KB

1.1 Final Project.zip.zip

48.1 KB

2. Building and Training the Network Part 1.mp4

37.8 MB

2. Building and Training the Network Part 1.srt

20.8 KB

3. Building and Training the Network Part 2.mp4

66.4 MB

3. Building and Training the Network Part 2.srt

27.6 KB

/7. Project 1Board Game Review Prediction/

1. Intro.mp4

7.9 MB

1. Intro.srt

2.1 KB

1.1 Board Game Review Predictions.zip.zip

131.7 KB

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

18.6 MB

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

13.0 KB

3. Board Game Review Prediction - Building the Dataset Part 2.mp4

37.2 MB

3. Board Game Review Prediction - Building the Dataset Part 2.srt

20.9 KB

4. Board Game Review Prediction - Training the Models.mp4

37.6 MB

4. Board Game Review Prediction - Training the Models.srt

17.2 KB

/8. Project 2 Credit Card Fraud Detection/

1. Intro.mp4

7.9 MB

1. Intro.srt

2.9 KB

1.1 Credit Card Fraud Detection.zip.zip

243.5 KB

2. Credit Card Fraud Detection - The Dataset.mp4

39.4 MB

2. Credit Card Fraud Detection - The Dataset.srt

27.2 KB

3. Credit Card Fraud Detection - The Algorithms.mp4

51.3 MB

3. Credit Card Fraud Detection - The Algorithms.srt

25.5 KB

/9. Project 4 Intro to Natural Language Processing/

1. Intro.mp4

17.8 MB

1. Intro.srt

1.7 KB

1.1 Intro to Natural Language Processing.zip.zip

66.5 KB

2. Tokenizing, Stop Words, and Stemming.mp4

208.0 MB

2. Tokenizing, Stop Words, and Stemming.srt

30.9 KB

3. Tagging, Chunking, and Named Entity Recognition.mp4

338.8 MB

3. Tagging, Chunking, and Named Entity Recognition.srt

38.3 KB

4. Text Classification.mp4

227.5 MB

4. Text Classification.srt

30.4 KB

/10. Project 5 Object Recognition/

1. Intro.mp4

7.6 MB

1. Intro.srt

1.7 KB

1.1 Object Recognition.zip.zip

224.3 KB

2. Loading and Preprocessing the CIFAR10 Dataset.mp4

189.3 MB

2. Loading and Preprocessing the CIFAR10 Dataset.srt

33.4 KB

3. Building and Deploying the All-CNN Network Part 1.mp4

215.6 MB

3. Building and Deploying the All-CNN Network Part 1.srt

31.4 KB

4. Building and Deploying the All-CNN Network Part 2.mp4

179.1 MB

4. Building and Deploying the All-CNN Network Part 2.srt

25.9 KB

/11. Project 6 Image Super Resolution/

1. Intro.mp4

10.0 MB

1. Intro.srt

1.5 KB

1.1 Image Super Resolution.zip.zip

9.9 MB

2. Quality Metrics and Preprocessing Images.mp4

271.4 MB

2. Quality Metrics and Preprocessing Images.srt

45.3 KB

3. Image Super Resolution using Deep Learning.mp4

374.9 MB

3. Image Super Resolution using Deep Learning.srt

56.4 KB

/13. Project 8 - KMeans/

1. Intro.mp4

11.8 MB

1. Intro.srt

1.6 KB

1.1 KMeans.zip.zip

193.6 KB

2. Preprocessing Images for Clustering.mp4

242.1 MB

2. Preprocessing Images for Clustering.srt

47.1 KB

3. Evaluation and Visualization.mp4

219.7 MB

3. Evaluation and Visualization.srt

35.6 KB

/14. Project 9 PCA/

1. Intro.mp4

3.9 MB

1. Intro.srt

1.3 KB

1.1 PCA.zip.zip

224.9 KB

2. The Elbow Method.mp4

119.7 MB

2. The Elbow Method.srt

29.8 KB

3. PCA Compression and Visualization.mp4

194.0 MB

3. PCA Compression and Visualization.srt

37.0 KB

 

Total files 143


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