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1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip 321.0 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
4. Image Processing/5. Image Thresholding.mp4 145.0 MB
8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
4. Image Processing/9. Gradients.mp4 118.9 MB
8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.8 MB
8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
4. Image Processing/8. Morphological Operators.mp4 101.5 MB
7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB
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- 【压缩文件】 desire-course.-net-udemy-python-for-computer-vision-with-open-cv-and-deep-learning_202008
- 收录时间:2024-01-09 文档个数:461 文档大小:6.9 GB 最近下载:2025-05-15 人气:1542 磁力链接
1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip 321.0 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
4. Image Processing/5. Image Thresholding.mp4 145.0 MB
8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
4. Image Processing/9. Gradients.mp4 118.9 MB
8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.8 MB
8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
4. Image Processing/8. Morphological Operators.mp4 101.5 MB
7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB
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- 【压缩文件】 Complete Python 3 and Pandas Data Science Masterclass
- 收录时间:2021-03-08 文档个数:4 文档大小:6.9 GB 最近下载:2025-05-16 人气:6162 磁力链接
Complete Python 3 and Pandas Data Science Masterclass.zip 6.9 GB
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[ FreeCourseWeb.com ] Udemy - Data Science Projects with Python.zip 6.8 GB
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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
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- 收录时间:2021-04-22 文档个数:1 文档大小:6.8 GB 最近下载:2025-05-15 人气:812 磁力链接
[ FreeCourseWeb.com ] Python Pandas and Altair Data Science & Visualization Course (Updated).zip 6.8 GB
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- 收录时间:2024-05-07 文档个数:1 文档大小:6.7 GB 最近下载:2025-04-16 人气:207 磁力链接
[HiOrla.com] From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase.zip 6.7 GB
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- 【压缩文件】 [DesireCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
- 收录时间:2018-11-08 文档个数:3 文档大小:6.7 GB 最近下载:2025-05-16 人气:932 磁力链接
[DesireCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science.zip 6.7 GB
[DesireCourse.Com].txt 828 Bytes
[DesireCourse.Com].url 51 Bytes
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01 Welcome to the course/captions/004 Installing Python and Anaconda MAC Windows-EN.srt 11.2 kB
01 Welcome to the course/captions/003 Installing R and R Studio MAC Windows-EN.srt 8.4 kB
01 Welcome to the course/004 Installing Python and Anaconda MAC Windows.mp4 25.1 MB
01 Welcome to the course/003 Installing R and R Studio MAC Windows.mp4 24.3 MB
01 Welcome to the course/002 Why Machine Learning is the Future.mp4 15.2 MB
01 Welcome to the course/001 Applications of Machine Learning.mp4 10.3 MB
01 Welcome to the course/005 BONUS Meet your instructors.html 1.4 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/006 Welcome to Part 1 - Data Preprocessing/Machine-Learning-A-Z-Template-Folder.zip 238.4 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/007 Get the dataset/Data.csv 226 Bytes
02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/011 Missing Data/Missing-Data.zip 2.0 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/012 Categorical Data/Categorical-Data.zip 3.2 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/015 And here is our Data Preprocessing Template/Data-Preprocessing-Template.zip 2.4 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/013 Splitting the Dataset into the Training set and Test set-EN.srt 24.5 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/012 Categorical Data-EN.srt 24.4 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/011 Missing Data-EN.srt 21.5 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/014 Feature Scaling-EN.srt 21.3 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/009 Importing the Dataset-EN.srt 17.0 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/015 And here is our Data Preprocessing Template-EN.srt 13.0 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/006 Welcome to Part 1 - Data Preprocessing-EN.srt 2.3 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/quizzes/001 Data Preprocessing.html 4.6 kB
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[ FreeCourseWeb.com ] Udemy - Learn the 2020 Advanced Python Programming.zip 6.7 GB
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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.srt 49.5 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
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