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O'Reilly - Advanced Machine Learning with scikit learn

  • 01. Introduction/01_01-What To Expect And About The Author.mp4 13.1 MB
  • 01. Introduction/01_02-Setup.mp4 6.1 MB
  • 01. Introduction/01_03-The Classifier Interface.mp4 28.5 MB
  • 01. Introduction/01_04-The Regressor Interface.mp4 11.3 MB
  • 01. Introduction/01_05-The Transformer Interface.mp4 8.3 MB
  • 01. Introduction/01_06-The Cluster Interface.mp4 23.4 MB
  • 01. Introduction/01_07-The Manifold Interface.mp4 11.5 MB
  • 01. Introduction/01_08-scikitLearn Interface Summary.mp4 11.9 MB
  • 01. Introduction/01_09-CrossValidation With Cross_Val_Score.mp4 21.3 MB
  • 01. Introduction/01_10-Parameter Searches With GridSearchCV.mp4 20.3 MB
  • 01. Introduction/01_11-How To Access Your Working Files.mp4 27.7 MB
  • 02. Model Complexity, Overfitting And Underfitting/02_01-What Is Model Complexity And Overfitting.mp4 7.6 MB
  • 02. Model Complexity, Overfitting And Underfitting/02_02-Linear Models InDepth.mp4 35.2 MB
  • 02. Model Complexity, Overfitting And Underfitting/02_03-Kernel SVMs InDepth.mp4 22.9 MB
  • 02. Model Complexity, Overfitting And Underfitting/02_04-Random Forests InDepth.mp4 15.9 MB
  • 02. Model Complexity, Overfitting And Underfitting/02_05-Learning Curves For Analyzing Model Complexity.mp4 13.3 MB
  • 02. Model Complexity, Overfitting And Underfitting/02_06-Validation Curves For Analyzing Model Parameters.mp4 8.0 MB
  • 02. Model Complexity, Overfitting And Underfitting/02_07-Efficient Parameter Search With EstimatorCV Objects.mp4 19.0 MB
  • 03. Pipelines/03_01-Motivation Of Using Pipelines.mp4 10.2 MB
  • 03. Pipelines/03_02-Defining A Pipeline And Basic Usage.mp4 20.0 MB
[磁力链接] 添加时间:2017-02-19 大小:803.0 MB 最近下载:2025-11-15 热度:3966

O'Reilly - Advanced Machine Learning with scikit learn

  • 01. Introduction/01_01-What To Expect And About The Author.mp4 13.1 MB
  • 01. Introduction/01_02-Setup.mp4 6.1 MB
  • 01. Introduction/01_03-The Classifier Interface.mp4 28.5 MB
  • 01. Introduction/01_04-The Regressor Interface.mp4 11.3 MB
  • 01. Introduction/01_05-The Transformer Interface.mp4 8.3 MB
  • 01. Introduction/01_06-The Cluster Interface.mp4 23.4 MB
  • 01. Introduction/01_07-The Manifold Interface.mp4 11.5 MB
  • 01. Introduction/01_08-scikitLearn Interface Summary.mp4 11.9 MB
  • 01. Introduction/01_09-CrossValidation With Cross_Val_Score.mp4 21.3 MB
  • 01. Introduction/01_10-Parameter Searches With GridSearchCV.mp4 20.3 MB
  • 01. Introduction/01_11-How To Access Your Working Files.mp4 27.7 MB
  • 02. Model Complexity, Overfitting And Underfitting/02_01-What Is Model Complexity And Overfitting.mp4 7.6 MB
  • 02. Model Complexity, Overfitting And Underfitting/02_02-Linear Models InDepth.mp4 35.2 MB
  • 02. Model Complexity, Overfitting And Underfitting/02_03-Kernel SVMs InDepth.mp4 22.9 MB
  • 02. Model Complexity, Overfitting And Underfitting/02_04-Random Forests InDepth.mp4 15.9 MB
  • 02. Model Complexity, Overfitting And Underfitting/02_05-Learning Curves For Analyzing Model Complexity.mp4 13.3 MB
  • 02. Model Complexity, Overfitting And Underfitting/02_06-Validation Curves For Analyzing Model Parameters.mp4 8.0 MB
  • 02. Model Complexity, Overfitting And Underfitting/02_07-Efficient Parameter Search With EstimatorCV Objects.mp4 19.0 MB
  • 03. Pipelines/03_01-Motivation Of Using Pipelines.mp4 10.2 MB
  • 03. Pipelines/03_02-Defining A Pipeline And Basic Usage.mp4 20.0 MB
[磁力链接] 添加时间:2017-08-14 大小:803.0 MB 最近下载:2025-05-19 热度:456

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

  • [ FreeCourseWeb.com ] Packt - scikit-learn Recipes.zip 498.8 MB
[磁力链接] 添加时间:2021-03-12 大小:498.8 MB 最近下载:2025-11-18 热度:1481

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

  • [ FreeCourseWeb.com ] PluralSight - Building Clustering Models with scikit-learn.rar 234.3 MB
[磁力链接] 添加时间:2021-03-28 大小:234.3 MB 最近下载:2025-02-20 热度:246

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

  • 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
[磁力链接] 添加时间:2021-03-28 大小:2.7 GB 最近下载:2025-08-05 热度:258

Egghead - Introductory Machine Learning Algorithms in Python with scikit-learn [AhLaN]

  • 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
[磁力链接] 添加时间:2021-04-02 大小:88.4 MB 最近下载:2025-11-18 热度:3232

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

  • [ FreeCourseWeb.com ] Hands-On Gradient Boosting with XGBoost and scikit-learn - Perform accessible Python machine learning & extreme gradient Boost.zip 327.2 MB
[磁力链接] 添加时间:2021-04-16 大小:327.2 MB 最近下载:2025-11-16 热度:1273

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

  • 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
[磁力链接] 添加时间:2021-04-20 大小:522.9 MB 最近下载:2025-11-07 热度:1317

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

  • [ DevCourseWeb.com ] Udemy - Hands-On Machine Learning with scikit-learn and Python.zip 1.6 GB
[磁力链接] 添加时间:2021-05-02 大小:1.6 GB 最近下载:2025-11-16 热度:2687

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

  • [ CourseWikia.com ] Udemy - Step by step guide in mastering Scikit-Learn (2021).zip 2.6 GB
[磁力链接] 添加时间:2021-05-06 大小:2.6 GB 最近下载:2025-11-16 热度:9433

[ FreeCourseWeb.com ] Udemy - Machine Learning with SciKit-Learn with Python

  • ~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
[磁力链接] 添加时间:2022-01-28 大小:3.9 GB 最近下载:2025-11-17 热度:2747

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

  • 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
[磁力链接] 添加时间:2022-02-07 大小:3.9 GB 最近下载:2025-09-06 热度:844

[GigaCourse.Com] Udemy - Machine Learning with SciKit-Learn with Python

  • 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
[磁力链接] 添加时间:2022-02-13 大小:3.9 GB 最近下载:2025-11-18 热度:2565

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

  • ~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
  • ~Get Your Files Here !/9781801819312_Code/ch11/ch11.ipynb 5.0 MB
  • ~Get Your Files Here !/9781801819312_Code/ch03/ch03.ipynb 3.7 MB
  • ~Get Your Files Here !/9781801819312_Code/ch07/ch07.ipynb 3.6 MB
  • ~Get Your Files Here !/9781801819312_Code/ch06/ch06.ipynb 3.2 MB
  • ~Get Your Files Here !/9781801819312_Code/ch02/ch02.ipynb 3.0 MB
  • ~Get Your Files Here !/9781801819312_Code/ch14/ch14_part2.ipynb 2.7 MB
  • ~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
  • ~Get Your Files Here !/9781801819312_Code/ch04/ch04.ipynb 2.1 MB
[磁力链接] 添加时间:2022-03-16 大小:484.0 MB 最近下载:2025-11-18 热度:5994

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

  • ~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
[磁力链接] 添加时间:2022-04-23 大小:570.8 MB 最近下载:2025-11-02 热度:100

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

  • ~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
  • ~Get Your Files Here !/459 - TTS - 3 - Application of TTS.mp4 1.2 MB
  • ~Get Your Files Here !/Bonus Resources.txt 357 Bytes
  • Get Bonus Downloads Here.url 183 Bytes
[磁力链接] 添加时间:2023-12-17 大小:123.5 MB 最近下载:2025-11-17 热度:1043

Pluralsight Path. Building Machine Learning Solutions with scikit-learn (2019)

  • C2. Scaling scikit-learn Solutions (Janani Ravi, 2019)/exercise.7z 140.7 MB
  • B1. Building Neural Networks with scikit-learn (Janani Ravi, 2019)/exercise.7z 96.2 MB
  • C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/exercise.7z 47.5 MB
  • A1. Building Your First scikit-learn Solution (Janani Ravi, 2019)/2. Exploring scikit-learn for Machine Learning/07. Exploring scikit-learn Libraries.mp4 37.6 MB
  • A2. Building Classification Models with scikit-learn (Janani Ravi, 2019)/exercise.7z 30.4 MB
  • C3. Model Evaluation and Selection Using scikit-learn (Chetan Prabhu, 2019)/5. Model Selection Techniques/1. Model Selection Techniques.mp4 27.8 MB
  • B2. Reducing Dimensions in Data with scikit-learn (Janani Ravi, 2019)/exercise.7z 24.5 MB
  • C3. Model Evaluation and Selection Using scikit-learn (Chetan Prabhu, 2019)/3. Evaluation Methods for Classification Models/7. Demo.mp4 21.1 MB
  • C3. Model Evaluation and Selection Using scikit-learn (Chetan Prabhu, 2019)/2. What Is Model Evaluation and Selection/1. Model Evaluation and Selection.mp4 21.0 MB
  • C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/6. Working with Specialized Datasets/3. Exploring Internal Datasets.mp4 19.6 MB
  • A4. Building Clustering Models with scikit-learn (Janani Ravi, 2019)/2. Building a Simple Clustering Model in scikit-learn/09. Evaluating K-means Clustering.mp4 18.9 MB
  • C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/7. Performing Kernel Approximations/5. Comparing Classifiers Trained Using Implicit and Explict Features.mp4 18.5 MB
  • C2. Scaling scikit-learn Solutions (Janani Ravi, 2019)/3. Observing the Factors Affecting Prediction Latency/06. Demo - Observing the Influence of Model Complexity.mp4 18.2 MB
  • C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/6. Working with Specialized Datasets/4. Creating Artificial Datasets for Regression, Classification, Clustering, and Dimensionality Reduc.mp4 18.1 MB
  • C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/6. Working with Specialized Datasets/5. Generating Manifold Data.mp4 17.2 MB
  • C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/5. Preparing Image Data for Machine Learning/5. Using Dictionary Learning to Denoise and Reconstruct Images.mp4 17.2 MB
  • A3. Building Regression Models with scikit-learn (Janani Ravi, 2019)/3. Building a Simple Linear Model/2. Simple Linear Regression.mp4 17.0 MB
  • C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/5. Preparing Image Data for Machine Learning/6. Clustering Image Data Using a Pixel Connectivity Graph.mp4 16.9 MB
  • C2. Scaling scikit-learn Solutions (Janani Ravi, 2019)/5. Implementing Multicore Parallelism in scikit-learn/08. Demo - Preparing Data for Multi-label Classification.mp4 16.8 MB
  • C1. Preparing Data for Modeling with scikit-learn (Janani Ravi, 2019)/3. Understanding and Implementing Novelty and Outlier Detection/07. Outlier Detection Using Local Outlier Factor.mp4 16.2 MB
[磁力链接] 添加时间:2023-12-17 大小:3.1 GB 最近下载:2025-11-17 热度:8960

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

  • [ DevCourseWeb.com ] Udemy - Introduction to Machine Learning with Scikit-Learn.zip 1.3 GB
[磁力链接] 添加时间:2024-03-11 大小:1.3 GB 最近下载:2025-11-09 热度:537

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

  • 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
[磁力链接] 添加时间:2024-07-29 大小:3.9 GB 最近下载:2025-06-21 热度:180

python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2

  • python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_jp2.zip 261.7 MB
  • python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr.html 31.1 MB
  • 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
  • python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2.pdf 9.9 MB
  • python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2.epub 5.5 MB
  • python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_djvu.txt 1.3 MB
  • python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr_searchtext.txt.gz 397.5 kB
  • python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_scandata.xml 269.3 kB
  • python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_page_numbers.json 131.3 kB
  • python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_meta.sqlite 20.5 kB
  • python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr_pageindex.json.gz 9.3 kB
  • python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_meta.xml 2.0 kB
[磁力链接] 添加时间:2024-09-04 大小:344.4 MB 最近下载:2025-06-08 热度:590


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