learning python -移花宫 -武林禁地，闲人禁止入内

[GigaCourse.Com] Udemy - [2022] Machine Learning and Deep Learning Bootcamp in Python

54 - COURSE MATERIALS (DOWNLOADS)/001 PythonMachineLearning.zip 592.6 MB
33 - Q Learning Implementation (Tic Tac Toe)/006 Tic tac toe with Q learning implementation VI.mp4 104.3 MB
45 - You Only Look Once (YOLO) Algorithm Implementation/005 YOLO algorithm implementation V.mp4 100.5 MB
05 - Linear Regression/004 Linear regression implementation I.mp4 95.2 MB
19 - Single Layer Networks Implementation/002 Simple neural network implementation - Iris dataset.mp4 89.1 MB
09 - Naive Bayes Classifier/006 Naive Bayes example - clustering news.mp4 82.7 MB
35 - Deep Q Learning Implementation (Tic Tac Toe)/003 Tic Tac Toe with deep Q learning implementation III.mp4 77.9 MB
40 - Face Detection with Viola-Jones Method Implementation/002 Face detection implementation II - CascadeClassifier.mp4 74.1 MB
46 - Single-Shot MultiBox Detector (SSD) Theory/003 Bounding boxes and anchor boxes.mp4 74.0 MB
45 - You Only Look Once (YOLO) Algorithm Implementation/004 YOLO algorithm implementation IV.mp4 73.1 MB
38 - Computer Vision Project I - Lane Detection Problem (Self-Driving Cars)/005 Getting the useful region of the image - masking.mp4 67.9 MB
16 - Machine Learning Project I - Face Recognition/004 Understanding eigenfaces.mp4 66.0 MB
43 - Convolutional Neural Networks (CNNs) Based Approaches/002 Region proposals and convolutional neural networks (CNNs).mp4 63.6 MB
26 - Machine Learning Project III - Identifying Objects with CNNs/004 Tuning the parameters - regularization.mp4 63.4 MB
06 - Logistic Regression/004 Logistic regression example II- credit scoring.mp4 61.4 MB
25 - Convolutional Neural Networks (CNNs) Implementation/002 Handwritten digit classification II.mp4 58.3 MB
25 - Convolutional Neural Networks (CNNs) Implementation/001 Handwritten digit classification I.mp4 57.0 MB
42 - Histogram of Oriented Gradients (HOG) Implementation/001 Showing the HOG features programatically.mp4 56.0 MB
31 - Exploration vs. Exploitation Problem/003 N-armed bandit problem implementation.mp4 55.9 MB
42 - Histogram of Oriented Gradients (HOG) Implementation/003 Face detection with HOG implementation II.mp4 54.9 MB

[磁力链接] 添加时间:2022-04-14 大小:7.6 GB 最近下载:2025-10-07 热度:1237

[FreeCourseSite.com] Udemy - [2022] Machine Learning and Deep Learning Bootcamp in Python

54 - COURSE MATERIALS (DOWNLOADS)/001 PythonMachineLearning.zip 592.6 MB
33 - Q Learning Implementation (Tic Tac Toe)/006 Tic tac toe with Q learning implementation VI.mp4 104.3 MB
45 - You Only Look Once (YOLO) Algorithm Implementation/005 YOLO algorithm implementation V.mp4 100.5 MB
05 - Linear Regression/004 Linear regression implementation I.mp4 95.2 MB
19 - Single Layer Networks Implementation/002 Simple neural network implementation - Iris dataset.mp4 89.1 MB
09 - Naive Bayes Classifier/006 Naive Bayes example - clustering news.mp4 82.7 MB
35 - Deep Q Learning Implementation (Tic Tac Toe)/003 Tic Tac Toe with deep Q learning implementation III.mp4 77.9 MB
40 - Face Detection with Viola-Jones Method Implementation/002 Face detection implementation II - CascadeClassifier.mp4 74.1 MB
46 - Single-Shot MultiBox Detector (SSD) Theory/003 Bounding boxes and anchor boxes.mp4 74.0 MB
45 - You Only Look Once (YOLO) Algorithm Implementation/004 YOLO algorithm implementation IV.mp4 73.1 MB
38 - Computer Vision Project I - Lane Detection Problem (Self-Driving Cars)/005 Getting the useful region of the image - masking.mp4 67.9 MB
16 - Machine Learning Project I - Face Recognition/004 Understanding eigenfaces.mp4 66.0 MB
43 - Convolutional Neural Networks (CNNs) Based Approaches/002 Region proposals and convolutional neural networks (CNNs).mp4 63.6 MB
26 - Machine Learning Project III - Identifying Objects with CNNs/004 Tuning the parameters - regularization.mp4 63.4 MB
06 - Logistic Regression/004 Logistic regression example II- credit scoring.mp4 61.4 MB
25 - Convolutional Neural Networks (CNNs) Implementation/002 Handwritten digit classification II.mp4 58.3 MB
25 - Convolutional Neural Networks (CNNs) Implementation/001 Handwritten digit classification I.mp4 57.0 MB
42 - Histogram of Oriented Gradients (HOG) Implementation/001 Showing the HOG features programatically.mp4 56.0 MB
31 - Exploration vs. Exploitation Problem/003 N-armed bandit problem implementation.mp4 55.9 MB
42 - Histogram of Oriented Gradients (HOG) Implementation/003 Face detection with HOG implementation II.mp4 54.9 MB

[磁力链接] 添加时间:2022-04-13 大小:7.6 GB 最近下载:2025-10-24 热度:2540

[FreeCourseSite.com] Udemy - Machine Learning using Python

21. Time Series - Preprocessing in Pyhton/3. Time Series - Visualization in Python.mp4 218.4 MB
5. Linear Regression/16. Ridge regression and Lasso in Python.mp4 183.4 MB
21. Time Series - Preprocessing in Pyhton/5. Time Series - Feature Engineering in Python.mp4 149.4 MB
22. Time Series - Important Concepts/5. Differencing in Python.mp4 148.0 MB
21. Time Series - Preprocessing in Pyhton/1. Data Loading in Python.mp4 141.1 MB
21. Time Series - Preprocessing in Pyhton/7. Time Series - Upsampling and Downsampling in Python.mp4 130.3 MB
3. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 118.8 MB
5. Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 108.2 MB
4. Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4 105.3 MB
12. Simple Classification Tree/4. Classification tree in Python Training.mp4 104.4 MB
4. Data Preprocessing/8. Outlier Treatment in Python.mp4 103.1 MB
13. Ensemble technique 1 - Bagging/2. Ensemble technique 1 - Bagging in Python.mp4 101.8 MB
14. Ensemble technique 2 - Random Forests/3. Using Grid Search in Python.mp4 96.2 MB
5. Linear Regression/9. Multiple Linear Regression in Python.mp4 89.3 MB
24. Time Series - ARIMA model/3. ARIMA model in Python.mp4 89.0 MB
5. Linear Regression/5. Simple Linear Regression in Python.mp4 89.0 MB
21. Time Series - Preprocessing in Pyhton/2. Time Series - Visualization Basics.mp4 84.2 MB
5. Linear Regression/14. Subset selection techniques.mp4 82.9 MB
20. Time Series Analysis and Forecasting/5. Time Series - Basic Notations.mp4 82.7 MB
22. Time Series - Important Concepts/3. Decomposing Time Series in Python.mp4 82.4 MB

[磁力链接] 添加时间:2023-12-30 大小:7.6 GB 最近下载:2025-10-11 热度:1511

[FreeCourseSite.com] Udemy - Complete Python Data Science, Deep Learning, R Programming

27. Data Transformation in R/3. Filtering Rows with Filter Function in R programming.mp4 177.9 MB
18. Projects Python projects, Data science projects, machine learning/2. Project - 2.mp4 177.5 MB
11. Geoplotlib/3.1 world_cities_pop.csv 164.3 MB
12. Data Science Hands-On Projects/6. Answer for Housing and Property Sales Project.mp4 162.6 MB
12. Data Science Hands-On Projects/8. Answers for English Premier League Project.mp4 161.0 MB
13. Machine Learning/15. Choosing the right algorithm and model in deep learning.mp4 156.1 MB
27. Data Transformation in R/6. Grouped Summaries with Summarize Function in R.mp4 155.8 MB
12. Data Science Hands-On Projects/4. Bike Sharing Project Answers.mp4 154.4 MB
25. Data Frames/3. Manipulating Values in DF.mp4 152.3 MB
20. Data Management in R/3. Graphs and Charts in Python data science.mp4 146.6 MB
26. Factors in R/2. Manipulating Categorical Data with Forcats in R.mp4 139.2 MB
27. Data Transformation in R/4. Arranging Rows with Arrange Function in R.mp4 135.6 MB
9. Matplotlib/8. Basic Plots in Matplotlib I.mp4 109.5 MB
8. Data Frame with Pandas/9. Combining Data Frames in Pandas.mp4 108.6 MB
18. Projects Python projects, Data science projects, machine learning/1. Project - 1.mp4 106.5 MB
10. Seaborn/5. Basic Plots in Seaborn.mp4 97.3 MB
12. Data Science Hands-On Projects/2. Titanic Project Answers in python projects.mp4 93.3 MB
13. Machine Learning/12. Unsupervised Machine Learning Methods.mp4 92.2 MB
17. Transfer Learning/1. What is Transfer Learning.mp4 89.5 MB
8. Data Frame with Pandas/10. Combining Data Frames Part – II.mp4 88.3 MB

[磁力链接] 添加时间:2024-01-02 大小:7.6 GB 最近下载:2025-10-27 热度:8445

2023 Python for Deep Learning and Artificial Intelligence

[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/14. MobileNet Architecture Explained.mp4 127.2 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/3. Convolutional Filters.mp4 119.6 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/5. End to End Deep Learning Project/10. Data Visualization Part 2.mp4 112.5 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/15. EfficientNet Architecture Explained.mp4 109.4 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/1. Course Setup/1. Jupyter Notebook Introduction.mp4 108.1 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/5. Padding and Strides.mp4 107.3 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/11. AlexNet Architecture Explained.mp4 103.5 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/10. Flowers Classification with Transfer Learning and CNN/17. Online Prediction of Flowers Classes.mp4 101.6 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/8. Horses vs Humans Classification with Simple CNN/6. Data Display in Subplots Matrix.mp4 93.6 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/6. Introduction to Computer Vision with Deep Learning/4. Fashion MNIST Dataset Analysis.mp4 92.0 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/6. Pooling Layers.mp4 90.7 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/9. Building Cats and Dogs Classifier with Regularized CNN/21. Load Model and Do the Prediction.mp4 87.5 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/9. Building Cats and Dogs Classifier with Regularized CNN/12. Load Dataset for Baseline Classifier.mp4 87.0 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/7. Introduction to Convolutional Neural Networks [Theory and Intuitions]/2. Working Principle of CNN.mp4 84.1 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/5. End to End Deep Learning Project/5. What is Back Propagation.mp4 83.3 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/6. Introduction to Computer Vision with Deep Learning/8. Discovering Overfitting - Early Stopping.mp4 81.3 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/8. Horses vs Humans Classification with Simple CNN/4. Download Humans or Horses Dataset Part 2.mp4 79.7 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/1. Course Setup/1.1 python-for-deep-learning-and-ai.zip 78.3 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/8. Horses vs Humans Classification with Simple CNN/2. Introduction to TensorFlow Datasets (TFDS).mp4 78.3 MB
[TutsNode.net] - 2023 Python for Deep Learning and Artificial Intelligence/8. Horses vs Humans Classification with Simple CNN/5. Use of Image Data Generator.mp4 76.9 MB

[磁力链接] 添加时间:2023-12-20 大小:7.5 GB 最近下载:2025-10-26 热度:14445

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

01 Welcome to the course/001 Applications of Machine Learning-en.srt 5.4 kB
01 Welcome to the course/001 Applications of Machine Learning-es.srt 5.7 kB
01 Welcome to the course/001 Applications of Machine Learning-it.srt 5.8 kB
01 Welcome to the course/001 Applications of Machine Learning-ja.srt 6.7 kB
01 Welcome to the course/001 Applications of Machine Learning-pt.srt 5.9 kB
01 Welcome to the course/001 Applications of Machine Learning-tr.srt 5.6 kB
01 Welcome to the course/001 Applications of Machine Learning.mp4 10.3 MB
01 Welcome to the course/002 Why Machine Learning is the Future-en.srt 9.5 kB
01 Welcome to the course/002 Why Machine Learning is the Future-es.srt 9.9 kB
01 Welcome to the course/002 Why Machine Learning is the Future-it.srt 9.9 kB
01 Welcome to the course/002 Why Machine Learning is the Future-ja.srt 11.0 kB
01 Welcome to the course/002 Why Machine Learning is the Future-pt.srt 10.0 kB
01 Welcome to the course/002 Why Machine Learning is the Future-tr.srt 9.5 kB
01 Welcome to the course/002 Why Machine Learning is the Future.mp4 15.2 MB
01 Welcome to the course/003 Important notes tips tricks for this course.html 4.3 kB
01 Welcome to the course/004 Machine-Learning-A-Z-Q-A.pdf 2.4 MB
01 Welcome to the course/004 This PDF resource will help you a lot.html 2.4 kB
01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-en.srt 12.1 kB
01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-es.srt 12.5 kB
01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-it.srt 12.3 kB

[磁力链接] 添加时间:2018-10-24 大小:7.3 GB 最近下载:2025-05-23 热度:153

[UdemyCourseDownloader] Machine Learning A-Z™ Hands-On Python & R In Data Science

12 Logistic Regression/096 Logistic Regression in R - Step 5.mp4 98.3 MB
31 Artificial Neural Networks/225 ANN in Python - Step 2.mp4 89.0 MB
17 Decision Tree Classification/123 Decision Tree Classification in R.mp4 71.5 MB
14 Support Vector Machine (SVM)/105 SVM in R.mp4 68.5 MB
18 Random Forest Classification/127 Random Forest Classification in R.mp4 67.2 MB
32 Convolutional Neural Networks/256 CNN in Python - Step 9.mp4 65.4 MB
18 Random Forest Classification/126 Random Forest Classification in Python.mp4 65.1 MB
07 Support Vector Regression (SVR)/068 SVR in Python.mp4 63.1 MB
05 Multiple Linear Regression/045 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK.mp4 62.0 MB
27 Upper Confidence Bound (UCB)/178 Upper Confidence Bound in R - Step 3.mp4 60.6 MB
36 Kernel PCA/274 Kernel PCA in R.mp4 59.3 MB
24 Apriori/161 Apriori in R - Step 3.mp4 59.3 MB
08 Decision Tree Regression/073 Decision Tree Regression in R.mp4 59.0 MB
13 K-Nearest Neighbors (K-NN)/101 K-NN in R.mp4 58.5 MB
28 Thompson Sampling/183 Thompson Sampling in Python - Step 1.mp4 58.2 MB
15 Kernel SVM/111 Kernel SVM in Python.mp4 57.5 MB
06 Polynomial Regression/063 Polynomial Regression in R - Step 3.mp4 57.5 MB
06 Polynomial Regression/058 Polynomial Regression in Python - Step 3.mp4 57.1 MB
05 Multiple Linear Regression/046 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4 56.9 MB
29 -------------------- Part 7 Natural Language Processing --------------------/210 Natural Language Processing in R - Step 10.mp4 56.8 MB

[磁力链接] 添加时间:2022-01-09 大小:7.3 GB 最近下载:2025-10-25 热度:770

Investment Management with Python and Machine Learning Specialization

[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/machine-learning-asset-management-alternative-data/05_Resources/01_python-notebooks/01__mooc_4_Jul22.zip 562.0 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/01_section-1/06_lab-session-cir-model-and-cash-vs-zc-bonds.mp4 104.9 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/python-machine-learning-for-investment-management/02_machine-learning-techniques-for-robust-estimation-of-factor-models/02_section-2-robust-estimation-of-factor-models-with-machine-learning-techniques/05_lab-session-jupiter-notebook-on-factor-models.mp4 95.7 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/python-machine-learning-for-investment-management/04_machine-learning-techniques-for-regime-analysis/02_section-2-robust-estimation-of-regime-switching-models-with-machine-learning/08_new-lab-session-jupyter-notebook-on-regime-based-investment-model.mp4 92.0 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/advanced-portfolio-construction-python/01_style-factors/02_section-2/04_module-1-lab-session-foundations.mp4 88.8 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/advanced-portfolio-construction-python/01_style-factors/01_section-1/05_introduction-to-factor-investing.mp4 87.4 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/02_an-introduction-to-portfolio-optimization/01_section-1-introduction-to-optimization-and-the-efficient-frontier/05_applying-quadprog-to-draw-the-efficient-frontier.mp4 82.0 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/01_section-1/08_lab-session-liability-driven-investing.mp4 79.8 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/02_an-introduction-to-portfolio-optimization/01_section-1-introduction-to-optimization-and-the-efficient-frontier/02_the-only-free-lunch-in-finance.mp4 79.7 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/python-machine-learning-for-investment-management/01_introducing-the-fundamentals-of-machine-learning/02_section-2-review-of-unsupervised-learning/07_lab-session-optimal-portfolio.mp4 79.1 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/02_section-2/04_lab-session-naive-risk-budgeting-between-the-psp-ghp.mp4 79.0 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/python-machine-learning-for-investment-management/05_identifying-recessions-crash-regimes-and-feature-selection/02_section-2-predicting-credit-contractions-and-crash-regimes/04_lab-session-5-regime-prediction-with-machine-learning.mp4 78.8 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/02_section-2/01_choosing-the-policy-portfolio.mp4 75.8 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/01_section-1/05_liability-hedging-portfolios.mp4 74.8 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/04_introduction-to-asset-liability-management/02_section-2/06_lab-session-dynamic-risk-budgeting-between-psp-lhp.mp4 74.5 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/advanced-portfolio-construction-python/01_style-factors/02_section-2/02_from-cap-weighted-benchmarks-to-smart-weighted-benchmarks.mp4 73.2 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/01_analysing-returns/01_section-1-fundamentals-of-risk-and-returns/06_fundamentals-of-returns.mp4 71.4 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/advanced-portfolio-construction-python/01_style-factors/02_section-2/01_shortcomings-of-cap-weighted-indices.mp4 66.1 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/01_analysing-returns/01_section-1-fundamentals-of-risk-and-returns/10_measuring-max-drawdown.mp4 63.8 MB
[TutsNode.net] - Investment Management with Python and Machine Learning Specialization/introduction-portfolio-construction-python/02_an-introduction-to-portfolio-optimization/01_section-1-introduction-to-optimization-and-the-efficient-frontier/07_lab-session-applying-quadprog-to-draw-the-efficient-frontier.mp4 63.5 MB

[磁力链接] 添加时间:2023-12-23 大小:7.3 GB 最近下载:2025-10-27 热度:6222

GetFreeCourses.Co-Udemy-The Complete Machine Learning Course with Python

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

[磁力链接] 添加时间:2021-03-20 大小:7.3 GB 最近下载:2025-10-27 热度:1241

[DesireCourse.Net] Udemy - The Complete Machine Learning Course with Python

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

[磁力链接] 添加时间:2022-02-04 大小:7.3 GB 最近下载:2025-09-25 热度:236

[DesireCourse.Net] Udemy - The Complete Machine Learning Course with Python

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

[磁力链接] 添加时间:2021-04-25 大小:7.3 GB 最近下载:2025-10-26 热度:1817

[FreeAllCourse.Com] Udemy- The Complete Machine Learning Course with Python

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

[磁力链接] 添加时间:2021-04-23 大小:7.3 GB 最近下载:2025-10-26 热度:1172

Udemy - Machine Learning Natural Language Processing in Python (V2) (12.2024)

18 - Recurrent Neural Networks/9 -Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.1 MB
3 - Vector Models and Text Preprocessing/14 -TF-IDF (Code).mp4 131.0 MB
16 - Feedforward Artificial Neural Networks/13 -CBOW in Tensorflow (Advanced).mp4 123.3 MB
22 - Effective Learning Strategies for Machine Learning FAQ/4 -Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
9 - Spam Detection/6 -Spam Detection in Python.mp4 112.8 MB
7 - Cipher Decryption (Advanced)/4 -Genetic Algorithms.mp4 110.3 MB
3 - Vector Models and Text Preprocessing/10 -Count Vectorizer (Code).mp4 106.9 MB
6 - Article Spinner (Intermediate)/4 -Article Spinner in Python (pt 1).mp4 100.6 MB
16 - Feedforward Artificial Neural Networks/4 -Activation Functions.mp4 93.7 MB
17 - Convolutional Neural Networks/6 -CNN Architecture.mp4 93.6 MB
11 - Text Summarization/8 -TextRank in Python (Advanced).mp4 86.3 MB
18 - Recurrent Neural Networks/6 -GRU and LSTM (pt 1).mp4 86.2 MB
13 - Latent Semantic Analysis (Latent Semantic Indexing)/2 -SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
15 - The Neuron/4 -Text Classification in Tensorflow.mp4 85.6 MB
17 - Convolutional Neural Networks/2 -What is Convolution.mp4 83.7 MB
3 - Vector Models and Text Preprocessing/16 -How to Build TF-IDF From Scratch.mp4 83.7 MB
22 - Effective Learning Strategies for Machine Learning FAQ/3 -Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
11 - Text Summarization/4 -Text Summarization in Python.mp4 81.9 MB
6 - Article Spinner (Intermediate)/5 -Article Spinner in Python (pt 2).mp4 79.0 MB
17 - Convolutional Neural Networks/5 -Convolution on Color Images.mp4 78.8 MB

[磁力链接] 添加时间:2025-07-10 大小:7.3 GB 最近下载:2025-10-26 热度:246

Machine Learning & Data Science A-Z Hands-on Python 2021

[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

[磁力链接] 添加时间:2021-04-15 大小:7.3 GB 最近下载:2025-10-22 热度:2851

The Complete Ensemble Learning Course 2021 With Python

[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

[磁力链接] 添加时间:2025-01-13 大小:7.3 GB 最近下载:2025-09-29 热度:426

[FreeCourseSite.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021

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

[磁力链接] 添加时间:2022-01-10 大小:7.2 GB 最近下载:2025-10-27 热度:940

[FreeCourseLab.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021

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

[磁力链接] 添加时间:2022-02-17 大小:7.2 GB 最近下载:2025-10-26 热度:637

Machine Learning & Data Science A-Z Hands-on Python 2021

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

[磁力链接] 添加时间:2022-02-05 大小:7.2 GB 最近下载:2025-10-23 热度:831

GetFreeCourses.Co-Udemy-Machine Learning & Data Science A-Z Hands-on Python 2021

6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
3. Data Preprocessing/12. Normalization.mp4 195.9 MB
5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB

[磁力链接] 添加时间:2022-04-20 大小:7.2 GB 最近下载:2025-02-15 热度:102

[FreeUdemy.Me] Machine Learning A-Z™ Hands-On Python & R In Data Science.zip

[FreeUdemy.Me] Machine Learning A-Z™ Hands-On Python & R In Data Science.zip 7.2 GB

[磁力链接] 添加时间:2017-06-07 大小:7.2 GB 最近下载:2025-08-20 热度:569