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

收录时间:2020-02-01 文档个数:5 文档大小:5.2 GB 最近下载:2024-11-13 人气:10670 磁力链接

• Python 3 Advanced Computer Vision with OpenCV & Scikit-image.zip 5.2 GB
• Download more courses.url 123 Bytes
• Downloaded from TutsGalaxy.com.txt 73 Bytes
• Downloaded from Demonoid - www.dnoid.to.txt 56 Bytes
• TutsGalaxy.com.txt 53 Bytes

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

收录时间:2020-02-24 文档个数:33 文档大小:522.9 MB 最近下载:2024-11-11 人气:2537 磁力链接

• 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】 Artificial Intelligence #5 MLP Networks with Scikit & Keras

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• Artificial Intelligence #5 MLP Networks with Scikit & Keras.zip 921.6 MB
• Download more courses.url 123 Bytes
• Downloaded from TutsGalaxy.com.txt 73 Bytes
• TutsGalaxy.com.txt 52 Bytes

猜你喜欢： Keras Intelligence Scikit Artificial MLP Networks

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

收录时间:2020-02-28 文档个数:47 文档大小:803.0 MB 最近下载:2024-11-13 人气:5189 磁力链接

• 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】 [ FreeCourseWeb.com ] PluralSight - Building Clustering Models with scikit-learn.rar

收录时间:2020-03-24 文档个数:1 文档大小:234.3 MB 最近下载:2024-11-12 人气:686 磁力链接

• [ FreeCourseWeb.com ] PluralSight - Building Clustering Models with scikit-learn.rar 234.3 MB

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【压缩文件】 [ FreeCourseWeb.com ] PluralSight - Building Classification Models with scikit-learn.zip

收录时间:2020-04-08 文档个数:1 文档大小:288.4 MB 最近下载:2024-10-19 人气:685 磁力链接

• [ FreeCourseWeb.com ] PluralSight - Building Classification Models with scikit-learn.zip 288.4 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Artificial Intelligence #5- MLP Networks with Scikit & Keras (Updated).rar

收录时间:2020-04-10 文档个数:1 文档大小:887.6 MB 最近下载:2024-10-20 人气:337 磁力链接

• [ FreeCourseWeb.com ] Udemy - Artificial Intelligence #5- MLP Networks with Scikit & Keras (Updated).rar 887.6 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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【影视】 Egghead - Introductory Machine Learning Algorithms in Python with scikit-learn [AhLaN]

收录时间:2020-09-30 文档个数:9 文档大小:88.4 MB 最近下载:2024-11-12 人气:3003 磁力链接

• 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
• Seed Me!!.png 43.1 kB
• AhLaN.txt 961 Bytes

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【压缩文件】 [ FreeCourseWeb.com ] Hands-On Gradient Boosting with XGBoost and scikit-learn - Perform accessible Python machine learning & extreme gradient Boost.zip

收录时间:2020-10-21 文档个数:1 文档大小:327.2 MB 最近下载:2024-11-07 人气:1353 磁力链接

• [ FreeCourseWeb.com ] Hands-On Gradient Boosting with XGBoost and scikit-learn - Perform accessible Python machine learning & extreme gradient Boost.zip 327.2 MB

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【影视】 udemy-machine-learning-101-with-scikit-learn-and-stats-models

收录时间:2020-10-30 文档个数:579 文档大小:3.2 GB 最近下载:2024-10-26 人气:76 磁力链接

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

收录时间:2021-01-22 文档个数:1 文档大小:1.6 GB 最近下载:2024-11-14 人气:2864 磁力链接

• [ DevCourseWeb.com ] Udemy - Hands-On Machine Learning with scikit-learn and Python.zip 1.6 GB

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【压缩文件】 [ CourseWikia.com ] Udemy - Step by step guide in mastering Scikit-Learn (2021).zip

收录时间:2021-03-01 文档个数:1 文档大小:2.6 GB 最近下载:2024-11-13 人气:13107 磁力链接

• [ CourseWikia.com ] Udemy - Step by step guide in mastering Scikit-Learn (2021).zip 2.6 GB

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【影视】 [Tutorialsplanet.NET] Udemy - Machine Learning 101 with Scikit-learn and StatsModels

收录时间:2021-03-28 文档个数:250 文档大小:2.7 GB 最近下载:2024-11-05 人气:489 磁力链接

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

收录时间:2021-05-31 文档个数:1 文档大小:2.2 GB 最近下载:2024-11-07 人气:3037 磁力链接

• [ CourseBoat.com ] Udemy - Python Chatbot Bootcamp w - Pandas, NumPy and SciKit.zip 2.2 GB

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【压缩文件】 [ DevCourseWeb.com ] Udemy - Introduction to Machine Learning with Scikit-Learn.zip

收录时间:2021-07-03 文档个数:1 文档大小:1.3 GB 最近下载:2024-11-01 人气:1166 磁力链接

• [ DevCourseWeb.com ] Udemy - Introduction to Machine Learning with Scikit-Learn.zip 1.3 GB

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【影视】 [ FreeCourseWeb.com ] Cloud Academy - Building Machine Learning Pipelines with scikit-learn - Part One

收录时间:2021-08-03 文档个数:14 文档大小:570.8 MB 最近下载:2024-08-19 人气:1885 磁力链接

• ~Get Your Files Here !/2. Scaling Data Part 1.mp4 136.4 MB
• ~Get Your Files Here !/3. Scaling Data Part 2.mp4 132.6 MB
• ~Get Your Files Here !/4. Dealing with Categorical Variables.mp4 107.8 MB
• ~Get Your Files Here !/5. Dealing with Missing Values.mp4 93.0 MB
• ~Get Your Files Here !/1. Introduction.mp4 83.7 MB
• ~Get Your Files Here !/6. Conclusion.mp4 17.2 MB
• ~Get Your Files Here !/4. Dealing with Categorical Variables.srt 17.9 kB
• ~Get Your Files Here !/2. Scaling Data Part 1.srt 17.2 kB
• ~Get Your Files Here !/5. Dealing with Missing Values.srt 14.9 kB
• ~Get Your Files Here !/3. Scaling Data Part 2.srt 11.5 kB
• ~Get Your Files Here !/1. Introduction.srt 10.9 kB
• ~Get Your Files Here !/6. Conclusion.srt 2.5 kB
• ~Get Your Files Here !/Bonus Resources.txt 357 Bytes
• Get Bonus Downloads Here.url 183 Bytes

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【影视】 [ FreeCourseWeb.com ] Cloud Academy - Building Machine Learning Pipelines with scikit-learn - Part Two

收录时间:2021-08-16 文档个数:14 文档大小:528.1 MB 最近下载:2023-12-01 人气:537 磁力链接

• ~Get Your Files Here !/2. Linear Regression in scikit-learn.mp4 173.7 MB
• ~Get Your Files Here !/5. Classification in scikit-learn.mp4 112.0 MB
• ~Get Your Files Here !/4. Shrinkage Models in scikit-learn.mp4 102.1 MB
• ~Get Your Files Here !/1. Introduction.mp4 63.7 MB
• ~Get Your Files Here !/3. The Bias-Variance Trade Off.mp4 58.8 MB
• ~Get Your Files Here !/6. Conclusion.mp4 17.6 MB
• ~Get Your Files Here !/2. Linear Regression in scikit-learn.srt 30.6 kB
• ~Get Your Files Here !/4. Shrinkage Models in scikit-learn.srt 20.1 kB
• ~Get Your Files Here !/5. Classification in scikit-learn.srt 19.6 kB
• ~Get Your Files Here !/3. The Bias-Variance Trade Off.srt 10.8 kB
• ~Get Your Files Here !/1. Introduction.srt 7.3 kB
• ~Get Your Files Here !/6. Conclusion.srt 2.1 kB
• ~Get Your Files Here !/Bonus Resources.txt 357 Bytes
• Get Bonus Downloads Here.url 183 Bytes

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【影视】 [FreeCourseSite.com] Udemy - Machine Learning with SciKit-Learn with Python

收录时间:2021-08-17 文档个数:110 文档大小:3.9 GB 最近下载:2024-11-14 人气:747 磁力链接

• 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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