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[DesireCourse.Com] Udemy - Deep Learning Prerequisites Linear Regression in Python.zip 352.9 MB
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[ FreeCourseWeb.com ] Udemy - 200 + Exercises - Programming in Python - from A to Z.zip 199.6 MB
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Chapra_Applied_Num_Meth_4ed_2018.zip 128.3 MB
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37 - Convolutional Neural Networks/010 dataset.zip 232.4 MB
37 - Convolutional Neural Networks/001 dataset.zip 232.0 MB
37 - Convolutional Neural Networks/016 Hands-on CNN Training Using Jupyter Notebook for Image Classification.mp4 76.3 MB
41 - Kernel PCA/002 Implementing Kernel PCA for Non-Linear Data Step-by-Step Guide.mp4 72.2 MB
43 - Model Selection/004 Optimizing SVM Models with GridSearchCV A Step-by-Step Python Tutorial.mp4 71.1 MB
40 - Linear Discriminant Analysis (LDA)/003 Step-by-Step Guide Applying LDA for Feature Extraction in Machine Learning.mp4 68.1 MB
43 - Model Selection/005 Evaluating ML Model Accuracy K-Fold Cross-Validation Implementation in R.mp4 65.9 MB
20 - Naive Bayes/001 Understanding Bayes--' Theorem Intuitively From Probability to Machine Learning.mp4 65.6 MB
29 - Apriori/008 Step 3 Optimizing Product Placement - Apriori Algorithm, Lift --& Confidence.mp4 65.2 MB
29 - Apriori/006 Step 1 - Creating a Sparse Matrix for Association Rule Mining in R.mp4 64.2 MB
29 - Apriori/005 Step 4 Visualizing Apriori Algorithm Results for Product Deals in Python.mp4 63.6 MB
37 - Convolutional Neural Networks/007 Step 4 - Fully Connected Layers in CNNs Optimizing Feature Combination.mp4 62.6 MB
33 - Thompson Sampling/008 Step 1 - Thompson Sampling vs UCB Optimizing Ad Click-Through Rates in R.mp4 61.5 MB
33 - Thompson Sampling/001 Understanding Thompson Sampling Algorithm Intuition and Implementation.mp4 61.3 MB
44 - XGBoost/003 XGBoost Tutorial Implementing Gradient Boosting for Classification Problems.mp4 60.3 MB
36 - Artificial Neural Networks/011 Step 2 - TensorFlow 2.0 Tutorial Preprocessing Data for Customer Churn Model.mp4 60.1 MB
37 - Convolutional Neural Networks/009 Deep Learning Essentials Understanding Softmax and Cross-Entropy in CNNs.mp4 59.2 MB
29 - Apriori/001 Apriori Algorithm Uncovering Hidden Patterns in Data Mining Association Rules.mp4 58.8 MB
32 - Upper Confidence Bound (UCB)/012 Step 3 Optimizing Ad Selection - UCB --& Multi-Armed Bandit Algorithm Explained.mp4 58.4 MB
37 - Convolutional Neural Networks/013 Step 3 - TensorFlow CNN Convolution to Output Layer for Vision Tasks.mp4 57.9 MB
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[FreeCourseSite.com] Udemy - Modern Web Scraping with Python using Scrapy Splash Selenium.part1.rar 3.2 GB
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1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip.zip 321.0 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
4. Image Processing/5. Image Thresholding.mp4 145.0 MB
8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
4. Image Processing/9. Gradients.mp4 118.9 MB
8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.7 MB
8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
4. Image Processing/8. Morphological Operators.mp4 101.5 MB
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