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[Tutorialsplanet.NET] Udemy -Projects in Machine Learning Beginner To Professional
Other
Size
4.2 GB
Seeders
0
Leechers
1
Files
99
Category
Other
Added
11/22/19
at 12:11am GMT+1
Status
Verified by VeriPLUS
Infohash
89c9a8c6f25a0a3da9ad16d71d4c84a524a31924
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Description
Udemy - Projects in Machine Learning : Beginner To Professional [TP]
A complete guide to master machine learning concepts and create real world ML solutions
For more Udemy Courses: https://tutorialsplanet.net
File list
[Tutorialsplanet.NET] Udemy -Projects in Machine Learning Beginner To Professional
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
29.2 MB
1. An Introduction to Machine Learning/2. What is Machine Learning.srt
15.8 KB
1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4
53.1 MB
1. An Introduction to Machine Learning/3. Types and Applications of ML.srt
34.8 KB
1. An Introduction to Machine Learning/4. AI vs ML.mp4
22.9 MB
1. An Introduction to Machine Learning/4. AI vs ML.srt
12.5 KB
1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp4
35.8 MB
1. An Introduction to Machine Learning/5. Essential Math for ML and AI.srt
23.3 KB
1. An Introduction to Machine Learning/6. Quiz- Questions- Section1.html
65 B
1. An Introduction to Machine Learning/6.1 Unit 1 Quiz.pdf.pdf
64.5 KB
1. An Introduction to Machine Learning/7. Quiz- Answers - Section 1.html
53 B
1. An Introduction to Machine Learning/7.1 Unit 1 Solutions.pdf.pdf
61.7 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/1.1 Object Recognition.zip.zip
219 KB
10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4
180.5 MB
10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.srt
32.6 KB
10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4
205.6 MB
10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.srt
30.7 KB
10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4
170.8 MB
10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.srt
25.3 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/1.1 Image Super Resolution.zip.zip
9.4 MB
11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4
258.8 MB
11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.srt
44.3 KB
11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4
357.6 MB
11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.srt
55.1 KB
12. Project 7 Text Classification/1. Intro.mp4
5 MB
12. Project 7 Text Classification/1. Intro.srt
1.4 KB
12. Project 7 Text Classification/1.1 Text Classification.zip.zip
55.4 KB
12. Project 7 Text Classification/2. Feature Engineering.mp4
375.4 MB
12. Project 7 Text Classification/2. Feature Engineering.srt
56.5 KB
12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4
204.2 MB
12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt
32.3 KB
13. Project 8 - KMeans/1. Intro.mp4
11.2 MB
13. Project 8 - KMeans/1. Intro.srt
1.6 KB
13. Project 8 - KMeans/1.1 KMeans.zip.zip
189.1 KB
13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4
230.9 MB
13. Project 8 - KMeans/2. Preprocessing Images for Clustering.srt
46 KB
13. Project 8 - KMeans/3. Evaluation and Visualization.mp4
209.5 MB
13. Project 8 - KMeans/3. Evaluation and Visualization.srt
34.8 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/1.1 PCA.zip.zip
219.6 KB
14. Project 9 PCA/2. The Elbow Method.mp4
114.2 MB
14. Project 9 PCA/2. The Elbow Method.srt
29.1 KB
14. Project 9 PCA/3. PCA Compression and Visualization.mp4
185 MB
14. Project 9 PCA/3. PCA Compression and Visualization.srt
36.1 KB
2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4
25.5 MB
2. Supervised Learning - part 1/1. Introduction to Supervised Learning.srt
18.3 KB
2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html
53 B
2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf
75.3 KB
2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4
34.1 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
14.7 KB
2. Supervised Learning - part 1/4. Support Vector Machines.mp4
35.8 MB
2. Supervised Learning - part 1/4. Support Vector Machines.srt
20.5 KB
2. Supervised Learning - part 1/5. Basis Expansions.mp4
21.3 MB
2. Supervised Learning - part 1/5. Basis Expansions.srt
14.1 KB
2. Supervised Learning - part 1/6. Model Selection Procedures.mp4
26.9 MB
2. Supervised Learning - part 1/6. Model Selection Procedures.srt
17.1 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
18.9 KB
2. Supervised Learning - part 1/7.1 Supervised Learning.zip.zip
167.2 KB
2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4
36.2 MB
2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.srt
17.8 KB
2. Supervised Learning - part 1/9. Quiz- Questions- Section 2.html
65 B
2. Supervised Learning - part 1/9.1 Unit 2 Quiz.pdf.pdf
53 KB
3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp4
31.8 MB
3. Unsupervised Learning/1. Introduction to Unsupervised Learning.srt
15.8 KB
3. Unsupervised Learning/2. Association Rules.mp4
28.5 MB
3. Unsupervised Learning/2. Association Rules.srt
18.7 KB
3. Unsupervised Learning/3. Cluster Analysis.mp4
28 MB
3. Unsupervised Learning/3. Cluster Analysis.srt
17.9 KB
3. Unsupervised Learning/4. Reinforcement Learning.mp4
21 MB
3. Unsupervised Learning/4. Reinforcement Learning.srt
22.4 KB
3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp4
22 MB
3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.srt
19.8 KB
3. Unsupervised Learning/5.1 Unsupervised Learning.zip.zip
92.5 KB
3. Unsupervised Learning/6. Quiz- Questions- Section 3.html
65 B
3. Unsupervised Learning/6.1 Unit 3 Quiz.pdf.pdf
29.8 KB
3. Unsupervised Learning/7. Quiz- Answers - Section 3.html
53 B
3. Unsupervised Learning/7.1 Unit 3 Solutions.pdf.pdf
41.3 KB
4. Neural Networks/1. Introduction to Neural Networks.mp4
22.7 MB
4. Neural Networks/1. Introduction to Neural Networks.srt
17.6 KB
4. Neural Networks/2. The Perceptron.mp4
17.1 MB
4. Neural Networks/2. The Perceptron.srt
13.4 KB
4. Neural Networks/3. The Backpropagation Algorithm.mp4
22.6 MB
4. Neural Networks/3. The Backpropagation Algorithm.srt
16.1 KB
4. Neural Networks/4. Training Procedures.mp4
24 MB
4. Neural Networks/4. Training Procedures.srt
18.7 KB
4. Neural Networks/5. Convolutional Neural Networks.mp4
32 MB
4. Neural Networks/5. Convolutional Neural Networks.srt
21.8 KB
5. Real World Machine Learning/1. Introduction to Real World ML.mp4
25.6 MB
5. Real World Machine Learning/1. Introduction to Real World ML.srt
16.4 KB
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