- 【影视】 [GigaCourse.Com] Udemy - Machine Learning with SciKit-Learn with Python
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9. Cross Validation/13. Performance Analysis on the Test Set.mp4 125.2 MB
6. Pandas/6. Remove Operations.mp4 123.1 MB
9. Cross Validation/5. PCA Pipeline.mp4 122.9 MB
9. Cross Validation/1. Cross Validation.mp4 117.4 MB
5. Matlplotlib/3. Multiple Figures and Subplots.mp4 115.7 MB
8. Learning and Predicting/4. Persisting Models.mp4 110.3 MB
9. Cross Validation/3. K-Means Clustering Example.mp4 109.0 MB
6. Pandas/7. Pandas Arithmetic Operations.mp4 108.2 MB
6. Pandas/4. Data Structure in Pandas Continue.mp4 107.1 MB
8. Learning and Predicting/5. K-NN Algorithm with Example.mp4 106.3 MB
3. NumPy Array/6. Numpy Array Splicing.mp4 103.6 MB
3. NumPy Array/4. NumPy Array Operations Continue.mp4 97.5 MB
9. Cross Validation/15. Language Identifcation.mp4 97.4 MB
9. Cross Validation/9. Text Data Example.mp4 94.2 MB
3. NumPy Array/8. Stacking Together Different Arrays.mp4 89.7 MB
5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp4 89.6 MB
9. Cross Validation/14. Parameter Tuning.mp4 89.3 MB
6. Pandas/3. Data Structure in Pandas.mp4 88.0 MB
6. Pandas/5. Pandas Column Select.mp4 83.4 MB
3. NumPy Array/3. NumPy Array Operations.mp4 82.3 MB
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- 【影视】 [ FreeCourseWeb.com ] RealPython - Real Python - Splitting Datasets With scikit-learn and train_test_split()
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~Get Your Files Here !/459 - TTS - 4-2 - A Larger Example.mp4 37.0 MB
~Get Your Files Here !/459 - TTS - 3-2 - Reproducible Results.mp4 16.0 MB
~Get Your Files Here !/459 - TTS - 3-1 - Using TTS.mp4 15.3 MB
~Get Your Files Here !/459 - TTS - 4-1 - A Small Examples.mp4 13.8 MB
~Get Your Files Here !/459 - TTS - 1 - Importance of Splitting.mp4 10.5 MB
~Get Your Files Here !/459 - TTS - 2 - Installing SKLearn.mp4 7.3 MB
~Get Your Files Here !/splitting-datasets-course-slides.pdf 6.5 MB
~Get Your Files Here !/459 - TTS - 5 - Other Validation Methods.mp4 6.1 MB
~Get Your Files Here !/459 - TTS - 6 - Summary.mp4 4.9 MB
~Get Your Files Here !/459 - TTS - 0 - Intro.mp4 3.5 MB
~Get Your Files Here !/459 - TTS - 4 - Supervised Learning.mp4 1.5 MB
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~Get Your Files Here !/Bonus Resources.txt 357 Bytes
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- 【影视】 [ FreeCourseWeb.com ] Udemy - Machine Learning with SciKit-Learn with Python
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~Get Your Files Here !/9. Cross Validation/13. Performance Analysis on the Test Set.mp4 125.2 MB
~Get Your Files Here !/6. Pandas/6. Remove Operations.mp4 123.1 MB
~Get Your Files Here !/9. Cross Validation/5. PCA Pipeline.mp4 122.9 MB
~Get Your Files Here !/9. Cross Validation/1. Cross Validation.mp4 117.4 MB
~Get Your Files Here !/5. Matlplotlib/3. Multiple Figures and Subplots.mp4 115.7 MB
~Get Your Files Here !/8. Learning and Predicting/4. Persisting Models.mp4 110.3 MB
~Get Your Files Here !/9. Cross Validation/3. K-Means Clustering Example.mp4 109.0 MB
~Get Your Files Here !/6. Pandas/7. Pandas Arithmetic Operations.mp4 108.2 MB
~Get Your Files Here !/6. Pandas/4. Data Structure in Pandas Continue.mp4 107.1 MB
~Get Your Files Here !/8. Learning and Predicting/5. K-NN Algorithm with Example.mp4 106.3 MB
~Get Your Files Here !/3. NumPy Array/6. Numpy Array Splicing.mp4 103.6 MB
~Get Your Files Here !/3. NumPy Array/4. NumPy Array Operations Continue.mp4 97.5 MB
~Get Your Files Here !/9. Cross Validation/15. Language Identifcation.mp4 97.4 MB
~Get Your Files Here !/9. Cross Validation/9. Text Data Example.mp4 94.2 MB
~Get Your Files Here !/3. NumPy Array/8. Stacking Together Different Arrays.mp4 89.7 MB
~Get Your Files Here !/5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp4 89.6 MB
~Get Your Files Here !/9. Cross Validation/14. Parameter Tuning.mp4 89.3 MB
~Get Your Files Here !/6. Pandas/3. Data Structure in Pandas.mp4 88.0 MB
~Get Your Files Here !/6. Pandas/5. Pandas Column Select.mp4 83.4 MB
~Get Your Files Here !/3. NumPy Array/3. NumPy Array Operations.mp4 82.3 MB
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- 【影视】 udemy-machine-learning-101-with-scikit-learn-and-stats-models
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5. Linear Regression - Practical Example/1. Practical Example (Part 1).mp4 101.8 MB
6. Logistic Regression/3. What is the Difference Between a Logistic and a Logit Function.mp4 79.5 MB
7. Cluster Analysis/17. What Can be Done with Cluster Analysis.mp4 66.6 MB
7. Cluster Analysis/2. Examples of Clustering.mp4 66.0 MB
6. Logistic Regression/14. Underfitting and Overfitting.srt 62.2 MB
5. Linear Regression - Practical Example/8. Practical Example (Part 5).mp4 60.7 MB
5. Linear Regression - Practical Example/6. Practical Example (Part 4).mp4 58.7 MB
1. Introduction/1. What Does the Course Cover.mp4 54.0 MB
3. Linear Regression with StatsModels/38. Dealing with Categorical Data.mp4 53.9 MB
3. Linear Regression with StatsModels/3. The Linear Regression Model.mp4 53.5 MB
7. Cluster Analysis/16. Practical Example Market Segmentation (Part 2).mp4 53.3 MB
3. Linear Regression with StatsModels/23. Adjusted R-Squared.mp4 52.1 MB
4. Linear Regression with Sklearn/19. Training and Testing.mp4 51.6 MB
7. Cluster Analysis/6. A Hands on Example of K-Means.mp4 51.0 MB
5. Linear Regression - Practical Example/2. Practical Example (Part 2).mp4 48.2 MB
7. Cluster Analysis/1. Introduction to Cluster Analysis.mp4 46.8 MB
3. Linear Regression with StatsModels/15. SST, SSR, and SSE.mp4 44.3 MB
3. Linear Regression with StatsModels/10. Simple Linear Regression in Python.mp4 43.8 MB
2. Setting Up The Working Environment/2. Why Python and Why Jupyter.mp4 43.1 MB
3. Linear Regression with StatsModels/13. What Does the StatsModels Summary Regression Table Tell us.mp4 42.9 MB
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- 【其他】 [ DevCourseWeb.com ] Machine Learning with PyTorch and Scikit-Learn - Develop machine learning and deep learning models with Python
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~Get Your Files Here !/9781801819312_Code/git/objects/pack/pack-0f48181b8b0c051c40c7d403bfb95ecde41a358a.pack 164.0 MB
~Get Your Files Here !/9781801819312_Code/ch08/movie_data.csv 65.9 MB
~Get Your Files Here !/9781801819312.epub 63.5 MB
~Get Your Files Here !/9781801819312-MACHINELEARNINGWITHPYTORCHANDSCIKITLEARN.pdf 30.7 MB
~Get Your Files Here !/9781801819312_Code/ch18/ch18_part1.ipynb 11.8 MB
~Get Your Files Here !/9781801819312_Code/ch17/ch17_part1.ipynb 7.4 MB
~Get Your Files Here !/9781801819312_Code/ch16/ch16-part2-gpt2.ipynb 7.0 MB
~Get Your Files Here !/9781801819312_Code/ch16/ch16-part1-self-attention.ipynb 6.1 MB
~Get Your Files Here !/9781801819312_Code/ch01/ch01.ipynb 6.0 MB
~Get Your Files Here !/9781801819312_Code/ch19/ch19.ipynb 5.0 MB
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~Get Your Files Here !/9781801819312_Code/ch03/ch03.ipynb 3.7 MB
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~Get Your Files Here !/9781801819312_Code/ch17/ch17_part2.ipynb 2.6 MB
~Get Your Files Here !/9781801819312_Code/ch18/ch18_part2.ipynb 2.6 MB
~Get Your Files Here !/9781801819312_Code/ch17/figures/17_02.png 2.3 MB
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- 【压缩文件】 Pluralsight Path. Building Machine Learning Solutions with scikit-learn (2019)
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收录时间:2022-05-08
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Pluralsight Path. Building Machine Learning Solutions with scikit-learn (2019) 3.1 GB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning with SciKit-Learn with Python
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9. Cross Validation/13. Performance Analysis on the Test Set.mp4 125.2 MB
6. Pandas/6. Remove Operations.mp4 123.1 MB
9. Cross Validation/5. PCA Pipeline.mp4 122.9 MB
9. Cross Validation/1. Cross Validation.mp4 117.4 MB
5. Matlplotlib/3. Multiple Figures and Subplots.mp4 115.7 MB
8. Learning and Predicting/4. Persisting Models.mp4 110.3 MB
9. Cross Validation/3. K-Means Clustering Example.mp4 109.0 MB
6. Pandas/7. Pandas Arithmetic Operations.mp4 108.2 MB
6. Pandas/4. Data Structure in Pandas Continue.mp4 107.1 MB
8. Learning and Predicting/5. K-NN Algorithm with Example.mp4 106.3 MB
3. NumPy Array/6. Numpy Array Splicing.mp4 103.6 MB
3. NumPy Array/4. NumPy Array Operations Continue.mp4 97.5 MB
9. Cross Validation/15. Language Identifcation.mp4 97.4 MB
9. Cross Validation/9. Text Data Example.mp4 94.2 MB
3. NumPy Array/8. Stacking Together Different Arrays.mp4 89.7 MB
5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp4 89.6 MB
9. Cross Validation/14. Parameter Tuning.mp4 89.3 MB
6. Pandas/3. Data Structure in Pandas.mp4 88.0 MB
6. Pandas/5. Pandas Column Select.mp4 83.4 MB
3. NumPy Array/3. NumPy Array Operations.mp4 82.3 MB
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- 【影视】 Building Image Processing Applications Using scikit-image (Janani Ravi, 2018)
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收录时间:2023-01-05
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4. Segmentation and Transformation/10. Comparing Images Using MSE and SSIM.mp4 23.2 MB
exercise.7z 21.8 MB
3. Object and Feature Detection/7. Applying Denoising Filters.mp4 17.2 MB
3. Object and Feature Detection/9. Filling Holes and Finding Peaks Using Erosion and Dilation.mp4 17.0 MB
2. Working with Image Data/05. Working with Images as NumPy Arrays.mp4 14.3 MB
4. Segmentation and Transformation/03. Applying Global and Local Thresholding Algorithms.mp4 12.2 MB
4. Segmentation and Transformation/05. Segmentation and Merging Segments Using Rags.mp4 11.9 MB
2. Working with Image Data/14. Canny Edge Detection.mp4 11.1 MB
2. Working with Image Data/10. Contours.mp4 10.6 MB
4. Segmentation and Transformation/08. Applying Image Transformations.mp4 9.9 MB
3. Object and Feature Detection/5. Corner Detection.mp4 9.7 MB
3. Object and Feature Detection/4. Visualizing Hog Feature Descriptors.mp4 9.6 MB
3. Object and Feature Detection/3. Visualizing Daisy Descriptors on Images.mp4 9.5 MB
2. Working with Image Data/09. Block Views and Pooling Operations.mp4 9.1 MB
2. Working with Image Data/07. Masking Color Images.mp4 8.4 MB
4. Segmentation and Transformation/07. Segmentation Using Classic and Compact Watershed.mp4 7.9 MB
2. Working with Image Data/06. Masking Images Using Array Manipulation.mp4 7.8 MB
2. Working with Image Data/04. Introducing scikit-image.mp4 6.6 MB
2. Working with Image Data/11. Convex Hull.mp4 5.3 MB
2. Working with Image Data/12. Edge Detection.mp4 4.8 MB
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- 【文档书籍】 Geron A. - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - 2022
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Geron A. - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - 2022.pdf 71.8 MB
Geron A. - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - 2022.epub 28.6 MB
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- 【文档书籍】 Dzhulgakov D., Raschka S., Mirjalili V., Liu Y. - Machine Learning with PyTorch and Scikit-Learn - 2023
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Dzhulgakov D., Raschka S., Mirjalili V., Liu Y. - Machine Learning with PyTorch and Scikit-Learn - 2023.epub 63.5 MB
Dzhulgakov D., Raschka S., Mirjalili V., Liu Y. - Machine Learning with PyTorch and Scikit-Learn - 2023.pdf 30.8 MB
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- 【文档书籍】 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3rd Edition
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 2023.pdf 71.8 MB
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 2023.epub 28.6 MB
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- 【文档书籍】 [ DevCourseWeb.com ] Machine Learning - A Guide to PyTorch, TensorFlow, and Scikit-Learn - Mastering Machine Learning With Python
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- 【文档书籍】 Рашка С., Юси (Хэйден) Лю, Мирджалили В. - Машинное обучение с PyTorch и Scikit-Leam - 2024.pdf
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Рашка С., Юси (Хэйден) Лю, Мирджалили В. - Машинное обучение с PyTorch и Scikit-Leam - 2024.pdf 89.7 MB
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- 【文档书籍】 Рашка С., Лю Ю. (Хэйден), Мирджалили В. - Машинное обучение с PyTorch и Scikit-Learn (Взгляд экспертов) - 2023.pdf
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- 【压缩文件】 python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2
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python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_jp2.zip 261.7 MB
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python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_chocr.html.gz 17.5 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_djvu.xml 16.6 MB
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python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2.epub 5.5 MB
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python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr_searchtext.txt.gz 397.5 kB
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