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- 【影视】 [DesireCourse.Net] Udemy - The Complete Machine Learning Course with Python
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收录时间:2021-04-25
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6. Tree/6. Project HR.mp4 186.5 MB
7. Ensemble Machine Learning/2. Bagging.mp4 173.5 MB
12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4 163.2 MB
3. Regression/2. EDA.mp4 159.0 MB
11. Deep Learning/3. Motivational Example - Project MNIST.mp4 152.0 MB
11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4 150.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4 148.8 MB
3. Regression/15. Data Preprocessing.mp4 142.1 MB
13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4 134.8 MB
3. Regression/19. CV Illustration.mp4 133.4 MB
10. Unsupervised Learning Clustering/1. Clustering.mp4 131.8 MB
3. Regression/9. Multiple Regression 1.mp4 131.6 MB
13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4 130.9 MB
4. Classification/1. Logistic Regression.mp4 125.4 MB
3. Regression/7. Robust Regression.mp4 124.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4 116.5 MB
3. Regression/12. Polynomial Regression.mp4 116.2 MB
4. Classification/3. Understanding MNIST.mp4 114.3 MB
3. Regression/4. Correlation Analysis and Feature Selection.mp4 110.3 MB
4. Classification/10. Precision Recall Tradeoff.mp4 107.0 MB
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- 【影视】 [FreeAllCourse.Com] Udemy- The Complete Machine Learning Course with Python
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6. Tree/6. Project HR.mp4 186.5 MB
7. Ensemble Machine Learning/2. Bagging.mp4 173.5 MB
12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4 163.2 MB
3. Regression/2. EDA.mp4 159.0 MB
11. Deep Learning/3. Motivational Example - Project MNIST.mp4 152.0 MB
11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4 150.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4 148.8 MB
3. Regression/15. Data Preprocessing.mp4 142.1 MB
13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4 134.8 MB
3. Regression/19. CV Illustration.mp4 133.4 MB
10. Unsupervised Learning Clustering/1. Clustering.mp4 131.8 MB
3. Regression/9. Multiple Regression 1.mp4 131.6 MB
13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4 130.9 MB
4. Classification/1. Logistic Regression.mp4 125.4 MB
3. Regression/7. Robust Regression.mp4 124.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4 116.5 MB
3. Regression/12. Polynomial Regression.mp4 116.2 MB
4. Classification/3. Understanding MNIST.mp4 114.3 MB
3. Regression/4. Correlation Analysis and Feature Selection.mp4 110.3 MB
4. Classification/10. Precision Recall Tradeoff.mp4 107.0 MB
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- 【影视】 Machine Learning & Data Science A-Z Hands-on Python 2021
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收录时间:2021-04-15
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/12. Normalization.mp4 195.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB
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- 【其他】 [OTUS] Machine Learning (2019)
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19. Анализ текстовых данных. Часть 2/reduced_comments_vk.csv 489.0 MB
08. Практическое занятие по темам, изученным в первом модуле/08.mp4 327.0 MB
25. Алгоритмы на графах/25.mp4 311.1 MB
28. Работа с Big Data. Часть 2/28.mp4 294.9 MB
27. Работа с Big Data. Часть 1/vw_tutorial.zip 259.7 MB
27. Работа с Big Data. Часть 1/27.mp4 255.7 MB
31. Бонус поиск Data Science работы/31.mp4 243.5 MB
05. Задача регрессии. Линейная регрессия/05.mp4 237.9 MB
16. Поиск аномалий в данных/16.mp4 235.3 MB
10. Деревья решений/10.mp4 234.7 MB
23. Анализ временных рядов. Часть 1/23.mp4 233.3 MB
15. Методы уменьшения размерности/15.mp4 231.5 MB
06. Логистическая регрессия/06.mp4 230.8 MB
17. Сбор данных/17.mp4 229.5 MB
26. АБ тестирование/26.mp4 214.5 MB
19. Анализ текстовых данных. Часть 2/19.mp4 208.1 MB
04. Задача классификации. Метод ближайших соседей (kNN)/04.mp4 200.0 MB
20. Анализ текстовых данных. Часть 3. Практическое занятие/20.mp4 197.6 MB
07. Feature engineering and advanced preprocessing/07.mp4 194.5 MB
02. Базовые инструменты анализа данных в Python/02.mp4 191.0 MB
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- 【其他】 [OTUS] Machine learning (2020)
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19. Анализ текстовых данных. Часть 2/reduced_comments_vk.csv 489.0 MB
08. Практическое занятие по темам, изученным в первом модуле/08.mp4 327.0 MB
25. Алгоритмы на графах/25.mp4 311.1 MB
28. Работа с Big Data. Часть 2/28.mp4 294.9 MB
27. Работа с Big Data. Часть 1/vw_tutorial.zip 259.7 MB
27. Работа с Big Data. Часть 1/27.mp4 255.7 MB
31. Бонус поиск Data Science работы/31.mp4 243.5 MB
05. Задача регрессии. Линейная регрессия/05.mp4 237.9 MB
16. Поиск аномалий в данных/16.mp4 235.3 MB
10. Деревья решений/10.mp4 234.7 MB
23. Анализ временных рядов. Часть 1/23.mp4 233.3 MB
15. Методы уменьшения размерности/15.mp4 231.5 MB
06. Логистическая регрессия/06.mp4 230.8 MB
17. Сбор данных/17.mp4 229.5 MB
26. АБ тестирование/26.mp4 214.5 MB
19. Анализ текстовых данных. Часть 2/19.mp4 208.1 MB
04. Задача классификации. Метод ближайших соседей (kNN)/04.mp4 200.0 MB
20. Анализ текстовых данных. Часть 3. Практическое занятие/20.mp4 197.6 MB
07. Feature engineering and advanced preprocessing/07.mp4 194.5 MB
02. Базовые инструменты анализа данных в Python/02.mp4 191.0 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning with Javascript
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05 - Getting Started with Gradient Descent/009 Why a Learning Rate.mp4 155.7 MB
02 - Algorithm Overview/013 Investigating Optimal K Values.mp4 117.9 MB
06 - Gradient Descent with Tensorflow/013 How it All Works Together!.mp4 115.9 MB
05 - Getting Started with Gradient Descent/012 Multiple Terms in Action.mp4 108.3 MB
06 - Gradient Descent with Tensorflow/008 Interpreting Results.mp4 94.0 MB
05 - Getting Started with Gradient Descent/007 Gradient Descent in Action.mp4 93.5 MB
13 - Performance Optimization/006 Measuring Memory Usage.mp4 90.0 MB
07 - Increasing Performance with Vectorized Solutions/013 Moving Towards Multivariate Regression.mp4 89.1 MB
10 - Natural Binary Classification/013 A Touch More Refactoring.mp4 82.5 MB
04 - Applications of Tensorflow/011 Normalization or Standardization.mp4 81.7 MB
05 - Getting Started with Gradient Descent/003 Understanding Gradient Descent.mp4 81.7 MB
12 - Image Recognition In Action/008 Debugging the Calculation Process.mp4 81.4 MB
04 - Applications of Tensorflow/014 Debugging Calculations.mp4 78.7 MB
11 - Multi-Value Classification/004 A Single Instance Approach.mp4 78.0 MB
07 - Increasing Performance with Vectorized Solutions/014 Refactoring for Multivariate Analysis.mp4 75.9 MB
05 - Getting Started with Gradient Descent/004 Guessing Coefficients with MSE.mp4 74.3 MB
03 - Onwards to Tensorflow JS!/003 Tensor Shape and Dimension.mp4 73.7 MB
02 - Algorithm Overview/001 How K-Nearest Neighbor Works.mp4 73.1 MB
04 - Applications of Tensorflow/008 Loading CSV Data.mp4 72.2 MB
11 - Multi-Value Classification/009 Marginal vs Conditional Probability.mp4 71.7 MB
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- 【影视】 The Complete Ensemble Learning Course 2021 With Python
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收录时间:2025-01-13
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[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/05 Stacking Method/004 Stacking for regression Implementation.mp4 289.7 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/05 Stacking Method/005 Stacking for classification Implementation.mp4 237.4 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/04 Voting Method/007 Analysing our results.mp4 218.4 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/10 Predicting Bitcoin Prices - REAL WORLD PROBLEMS/008 Stacking Implementation.mp4 207.9 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/11 Movie Recommendation system -REAL WORLD PROBLEMS/005 Creating the dot model.mp4 207.2 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/03 Basic Ensemble Learning concept/005 Validation Curves Implementation.mp4 207.0 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/03 Basic Ensemble Learning concept/006 Learning Curves Implementation.mp4 203.5 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/07 Boosting Method/003 AdaBoost Implementation Method 1.mp4 202.0 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/10 Predicting Bitcoin Prices - REAL WORLD PROBLEMS/005 Simple Bitcoin Prediction.mp4 187.9 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/07 Boosting Method/008 Gradient boosting Implementation Method 1.mp4 168.1 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/04 Voting Method/002 Custom hard voting implementation Part 1.mp4 166.3 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/11 Movie Recommendation system -REAL WORLD PROBLEMS/007 Creating a stacking ensemble.mp4 157.3 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/02 Basic Machine Learning concept/013 K-means Implementation.mp4 156.5 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/10 Predicting Bitcoin Prices - REAL WORLD PROBLEMS/006 Simulator Implementation.mp4 153.7 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/04 Voting Method/006 Soft voting implementation by Using scikit-learn.mp4 152.9 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/06 Bagging Method/006 Bagging Implementation Method 1.mp4 141.2 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/10 Predicting Bitcoin Prices - REAL WORLD PROBLEMS/007 Voting Implementation.mp4 138.3 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/09 Clustering/004 K-means Implementation Part 2.mp4 136.1 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/04 Voting Method/004 Analysing our results.mp4 126.5 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/07 Boosting Method/007 Introduction to Gradient boosting.mp4 121.5 MB
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05 - Getting Started with Gradient Descent/009 Why a Learning Rate.mp4 155.7 MB
02 - Algorithm Overview/013 Investigating Optimal K Values.mp4 117.9 MB
06 - Gradient Descent with Tensorflow/013 How it All Works Together!.mp4 115.9 MB
05 - Getting Started with Gradient Descent/012 Multiple Terms in Action.mp4 108.3 MB
06 - Gradient Descent with Tensorflow/008 Interpreting Results.mp4 94.0 MB
05 - Getting Started with Gradient Descent/007 Gradient Descent in Action.mp4 93.5 MB
13 - Performance Optimization/006 Measuring Memory Usage.mp4 90.0 MB
07 - Increasing Performance with Vectorized Solutions/013 Moving Towards Multivariate Regression.mp4 89.1 MB
10 - Natural Binary Classification/013 A Touch More Refactoring.mp4 82.5 MB
04 - Applications of Tensorflow/011 Normalization or Standardization.mp4 81.7 MB
05 - Getting Started with Gradient Descent/003 Understanding Gradient Descent.mp4 81.7 MB
12 - Image Recognition In Action/008 Debugging the Calculation Process.mp4 81.4 MB
04 - Applications of Tensorflow/014 Debugging Calculations.mp4 78.7 MB
11 - Multi-Value Classification/004 A Single Instance Approach.mp4 78.0 MB
07 - Increasing Performance with Vectorized Solutions/014 Refactoring for Multivariate Analysis.mp4 75.9 MB
05 - Getting Started with Gradient Descent/004 Guessing Coefficients with MSE.mp4 74.3 MB
03 - Onwards to Tensorflow JS!/003 Tensor Shape and Dimension.mp4 73.7 MB
02 - Algorithm Overview/001 How K-Nearest Neighbor Works.mp4 73.1 MB
04 - Applications of Tensorflow/008 Loading CSV Data.mp4 72.2 MB
11 - Multi-Value Classification/009 Marginal vs Conditional Probability.mp4 71.7 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021
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收录时间:2022-01-10
文档个数:91
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人气:867
磁力链接
06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
03 Data Preprocessing/012 Normalization.mp4 195.9 MB
05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
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- 【影视】 [FreeCourseLab.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021
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磁力链接
06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
03 Data Preprocessing/012 Normalization.mp4 195.9 MB
05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
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- 【影视】 Machine Learning & Data Science A-Z Hands-on Python 2021
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06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
03 Data Preprocessing/012 Normalization.mp4 195.9 MB
05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
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- 【音乐】 mother-of-learning-nobody103-audiobook
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收录时间:2024-10-10
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Mother Of Learning nobody103 Chapter 026 Soulkill.mp3 120.1 MB
Mother Of Learning nobody103 Chapter 091 A Path Paid In Blood.mp3 114.9 MB
Mother Of Learning nobody103 Chapter 103 Window Of Opportunity.mp3 108.3 MB
Mother Of Learning nobody103 Chapter 107 Epilogue.mp3 105.2 MB
Mother Of Learning nobody103 Chapter 096 Contract.mp3 92.3 MB
Mother Of Learning nobody103 Chapter 063 The March Of Days.mp3 90.7 MB
Mother Of Learning nobody103 Chapter 089 Victory.mp3 90.2 MB
Mother Of Learning nobody103 Chapter 083 Scorpion.mp3 83.8 MB
Mother Of Learning nobody103 Chapter 085 Critical Mass.mp3 81.3 MB
Mother Of Learning nobody103 Chapter 075 Soul Stealer.mp3 80.7 MB
Mother Of Learning nobody103 Chapter 065 Dangerous Ground.mp3 80.2 MB
Mother Of Learning nobody103 Chapter 074 The Return.mp3 79.0 MB
Mother Of Learning nobody103 Chapter 043 Overwhelmed.mp3 76.8 MB
Mother Of Learning nobody103 Chapter 052 Things Fall Apart.mp3 73.4 MB
Mother Of Learning nobody103 Chapter 040 Shifting Tracks.mp3 73.3 MB
Mother Of Learning nobody103 Chapter 101 The Switch.mp3 73.0 MB
Mother Of Learning nobody103 Chapter 090 Change Of Plans.mp3 72.6 MB
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