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【压缩文件】 Master the basics of Python.zip

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Master the basics of Python.zip 633.7 MB

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【压缩文件】 Algorithmic Problems & Neural Networks in Python

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Algorithmic Problems & Neural Networks in Python.zip 834.4 MB
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【压缩文件】 [FreeAllCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Multi-Strategy Investing with Python and Excel.zip

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[ FreeCourseWeb.com ] Udemy - Multi-Strategy Investing with Python and Excel.zip 1.9 GB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Complete Python From Zero To Software House Level.zip

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[ FreeCourseWeb.com ] Udemy - Complete Python From Zero To Software House Level.zip 2.4 GB

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【压缩文件】 [ DevCourseWeb.com ] Udemy - Robot Framework Test Concepts (Python, Excel, and Selenium).zip

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[ DevCourseWeb.com ] Udemy - Robot Framework Test Concepts (Python, Excel, and Selenium).zip 1.4 GB

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【压缩文件】 Deep Learning Prerequisites The Numpy Stack in Python

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Deep Learning Prerequisites The Numpy Stack in Python.zip 562.7 MB
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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip

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[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip 773.2 MB

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【压缩文件】 Practical Machine Learning and Image Processing For Facial Recognition, Object Detection, and Pattern Recognition Using Python.zip

收录时间:2021-03-22 文档个数:1 文档大小:197.0 MB 最近下载:2025-05-15 人气:878 磁力链接

Practical Machine Learning and Image Processing For Facial Recognition, Object Detection, and Pattern Recognition Using Python.zip 197.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - A Beginners Guide To Learn Python - Learn From Scratch.zip

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[ FreeCourseWeb.com ] Udemy - A Beginners Guide To Learn Python - Learn From Scratch.zip 118.8 MB

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【压缩文件】 [ FreeCourseWeb.com ] RealPython - Python Type Checking.zip

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[ FreeCourseWeb.com ] RealPython - Python Type Checking.zip 192.8 MB

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【压缩文件】 Learning Data Structures & Algorithms in Python from Scratch

收录时间:2021-03-22 文档个数:4 文档大小:1.9 GB 最近下载:2025-05-16 人气:3235 磁力链接

Learning Data Structures & Algorithms in Python from Scratch.zip 1.9 GB
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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Python Programming for Beginners- Learn to Code in an Hour.zip

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[ FreeCourseWeb.com ] Udemy - Python Programming for Beginners- Learn to Code in an Hour.zip 521.2 MB

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【压缩文件】 [FTUForum.com] [UDEMY] Master Computer Vision™ OpenCV4 in Python with Deep Learning [FTU]

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19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects/1.1 SSDOpenCV.tar.gz.gz 149.5 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1.1 DeepLearningCV_MOCV.tar.gz.gz 142.0 MB
1. Course Introduction and Setup/9.1 MasteringComputerVision_V1.03.zip.zip 133.7 MB
18. BONUS - Neural Style Transfer with OpenCV/1.1 NeuralStyleTransfer.tar.gz.gz 126.7 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/9. Regularization, Overfitting, Generalization and Test Datasets.mp4 124.1 MB
1. Course Introduction and Setup/5.1 masteropencv4_v1.5.tar.gz.gz 121.8 MB
20. BONUS - Colorize Black and White Images/1.1 colorize.tar.gz.gz 120.1 MB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4 108.8 MB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/3. Convolutions & Image Features.mp4 107.4 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/8. Backpropagation & Learning Rates – A Worked Example.mp4 104.7 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1. Setup your Deep Learning Virtual Machine.mp4 81.2 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.vtt 78.0 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.mp4 78.0 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.mp4 77.3 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/7. Training Part 2 – Backpropagation and Gradient Descent.mp4 76.2 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/2. Intro to Handwritten Digit Classification (MNIST).mp4 70.6 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/4. Forward Propagation.mp4 66.4 MB
8. Simple Machine Learning using OpenCV/2. Mini Project 9 - Handwritten Digit Classification.mp4 63.5 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/5. Activation Functions.mp4 62.6 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/6. Training Part 1 – Loss Functions.mp4 61.3 MB