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【压缩文件】 Artificial Intelligence #5 MLP Networks with Scikit & Keras

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Artificial Intelligence #5 MLP Networks with Scikit & Keras.zip 921.6 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
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【压缩文件】 [ CourseWikia.com ] Udemy - Step by step guide in mastering Scikit-Learn (2021).zip

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【影视】 [ FreeCourseWeb.com ] RealPython - Real Python - Splitting Datasets With scikit-learn and train_test_split()

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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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【压缩文件】 python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2

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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
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【压缩文件】 [ DevCourseWeb.com ] Udemy - Hands-On Machine Learning with scikit-learn and Python.zip

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【压缩文件】 O'Reilly - Advanced Machine Learning with scikit learn

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Working Files/Advanced_Machine_Learning_with_scikit_learn_Working_Files.zip 60.3 MB
02. Model Complexity, Overfitting And Underfitting/02_02-Linear Models InDepth.mp4 35.2 MB
01. Introduction/01_03-The Classifier Interface.mp4 28.5 MB
01. Introduction/01_11-How To Access Your Working Files.mp4 27.7 MB
07. Handling Text Data/07_03-Text Classification For Sentiment Analysis Part 1.mp4 26.6 MB
01. Introduction/01_06-The Cluster Interface.mp4 23.4 MB
02. Model Complexity, Overfitting And Underfitting/02_03-Kernel SVMs InDepth.mp4 22.9 MB
05. Model Selection For Unsupervised Learning/05_01-Guidelines For Unsupervised Model Selection.mp4 22.7 MB
04. Advanced Metrics And Imbalanced Classes/04_01-Be Mindful Of Default Metrics.mp4 21.6 MB
04. Advanced Metrics And Imbalanced Classes/04_04-Defining Custom Metrics.mp4 21.4 MB
01. Introduction/01_09-CrossValidation With Cross_Val_Score.mp4 21.3 MB
04. Advanced Metrics And Imbalanced Classes/04_03-AUC.mp4 20.6 MB
01. Introduction/01_10-Parameter Searches With GridSearchCV.mp4 20.3 MB
07. Handling Text Data/07_02-BagOfWords Representations.mp4 20.0 MB
03. Pipelines/03_02-Defining A Pipeline And Basic Usage.mp4 20.0 MB
06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data/06_01-Why Real Data Is Messy.mp4 20.0 MB
08. Out Of Core Learning/08_05-Application OutOfCore Text Classification.mp4 19.3 MB
08. Out Of Core Learning/08_04-Subsample And Transform Supervised Transformations For Out Of Core Learning.mp4 19.2 MB
05. Model Selection For Unsupervised Learning/05_02-Model Selection For Density Models.mp4 19.0 MB
06. Dealing With Categorical Variables, Dictionaries, And Incomplete Data/06_02-OneHot Encoding For Categorical Data.mp4 19.0 MB

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【压缩文件】 Pluralsight Path. Building Machine Learning Solutions with scikit-learn (2019)

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【影视】 [FreeCoursesOnline.Me] [Packt] Real-World Machine Learning Projects with Scikit-Learn - [FCO]

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1.Predicting the Wine Quality Using Multiple Linear Regression/04.Implementing the Solution.mp4 44.2 MB
2.Bike Sharing Demand Prediction Using Regression Trees/09.Feature Analysis and Engineering.mp4 41.1 MB
1.Predicting the Wine Quality Using Multiple Linear Regression/05.Evaluating and Improving the Model.mp4 40.7 MB
3.Heart Disease Predictions with Support Vector Machines/15.Implementing the Solution.mp4 31.0 MB
4.Poker Hand Predictions with K-Means Clustering/19.Feature Analysis and Engineering.mp4 30.1 MB
3.Heart Disease Predictions with Support Vector Machines/14.Feature Analysis and Engineering.mp4 28.9 MB
4.Poker Hand Predictions with K-Means Clustering/20.Implementing the Solution.mp4 27.6 MB
2.Bike Sharing Demand Prediction Using Regression Trees/10.Implementing the Solution.mp4 25.5 MB
5.Understanding Buying Behavior Using Hierarchical Clustering/25.Implementing the Solution.mp4 22.8 MB
4.Poker Hand Predictions with K-Means Clustering/21.Analyze the Results.mp4 22.7 MB
5.Understanding Buying Behavior Using Hierarchical Clustering/24.Feature Analysis and Engineering.mp4 22.6 MB
4.Poker Hand Predictions with K-Means Clustering/18.K-Means Clustering.mp4 19.3 MB
2.Bike Sharing Demand Prediction Using Regression Trees/08.Decision Trees and Random Forest.mp4 17.3 MB
2.Bike Sharing Demand Prediction Using Regression Trees/11.Analyze the Results.mp4 16.0 MB
5.Understanding Buying Behavior Using Hierarchical Clustering/26.Analyze the Results.mp4 15.2 MB
3.Heart Disease Predictions with Support Vector Machines/16.Analyze the Results.mp4 13.4 MB
1.Predicting the Wine Quality Using Multiple Linear Regression/06.Analyzing the Results.mp4 13.2 MB
1.Predicting the Wine Quality Using Multiple Linear Regression/03.Multiple Linear Regression.mp4 13.2 MB
5.Understanding Buying Behavior Using Hierarchical Clustering/23.Hierarchical Clustering.mp4 12.8 MB
3.Heart Disease Predictions with Support Vector Machines/13.Support Vector Machines.mp4 12.6 MB

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【压缩文件】 [ CourseBoat.com ] Udemy - Python Chatbot Bootcamp w - Pandas, NumPy and SciKit.zip

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【压缩文件】 [ FreeCourseWeb.com ] Packt - scikit-learn Recipes.zip

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[ FreeCourseWeb.com ] Packt - scikit-learn Recipes.zip 498.8 MB

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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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【其他】 [ DevCourseWeb.com ] Machine Learning with PyTorch and Scikit-Learn - Develop machine learning and deep learning models with Python

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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
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~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
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~Get Your Files Here !/9. Cross Validation/9. Text Data Example.mp4 94.2 MB
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【影视】 Egghead - Introductory Machine Learning Algorithms in Python with scikit-learn [AhLaN]

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05-Implement a Naive Bayes Classifier in Python and Scikit-learn to Categorize Text.mp4 16.9 MB
06-Implement Decision Trees in Python with Scikit-learn.mp4 16.6 MB
01-Use Linear Regression To Estimate Continuous Values with Python and Scikit-learn.mp4 14.0 MB
02-Predict Categories in Python using Scikit-learn's Logistic Regression module.mp4 12.4 MB
04-Use K-nearest Neighbors To Find Similar Datapoints with Python and Scikit-learn.mp4 11.3 MB
07-Find Clusters of Data with K-means Clustering in Python and Scikit-learn.mp4 9.0 MB
03-Use Support Vector Machines To Find Complex Decision Boundaries with Scikit-learn.mp4 8.2 MB
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【影视】 Building Image Processing Applications Using scikit-image (Janani Ravi, 2018)

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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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【压缩文件】 [ FreeCourseWeb.com ] Egghead - Introductory Machine Learning Algorithms in Python with scikit-learn.zip

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[ FreeCourseWeb.com ] Egghead - Introductory Machine Learning Algorithms in Python with scikit-learn.zip 86.4 MB

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【压缩文件】 Python 3 Advanced Computer Vision with OpenCV & Scikit-image

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Python 3 Advanced Computer Vision with OpenCV & Scikit-image.zip 5.2 GB
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