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【影视】 [UdemyCourseDownloader] Data Science, Deep Learning, & Machine Learning with Python

收录时间:2022-02-27 文档个数:183 文档大小:3.3 GB 最近下载:2025-05-15 人气:333 磁力链接

08 Apache Spark_ Machine Learning on Big Data/061 [Activity] Decision Trees in Spark.mp4 92.5 MB
08 Apache Spark_ Machine Learning on Big Data/057 [Activity] Installing Spark - Part 2.mp4 90.0 MB
06 More Data Mining and Machine Learning Techniques/048 Reinforcement Learning.mp4 66.6 MB
05 Recommender Systems/041 [Activity] Making Movie Recommendations to People.mp4 66.3 MB
08 Apache Spark_ Machine Learning on Big Data/062 [Activity] K-Means Clustering in Spark.mp4 65.9 MB
07 Dealing with Real-World Data/052 [Activity] Cleaning web log data.mp4 63.1 MB
08 Apache Spark_ Machine Learning on Big Data/064 [Activity] Searching Wikipedia with Spark.mp4 62.7 MB
06 More Data Mining and Machine Learning Techniques/044 [Activity] Using KNN to predict a rating for a movie.mp4 62.1 MB
06 More Data Mining and Machine Learning Techniques/047 Data Warehousing Overview_ ETL and ELT.mp4 56.7 MB
10 Deep Learning and Neural Networks/084 The Ethics of Deep Learning.mp4 56.3 MB
06 More Data Mining and Machine Learning Techniques/046 [Activity] PCA Example with the Iris data set.mp4 55.9 MB
03 Predictive Models/022 [Activity] Multivariate Regression_ and Predicting Car Prices.mp4 52.4 MB
02 Statistics and Probability Refresher_ and Python Practise/016 [Activity] Covariance and Correlation.mp4 52.2 MB
02 Statistics and Probability Refresher_ and Python Practise/017 [Exercise] Conditional Probability.mp4 52.0 MB
02 Statistics and Probability Refresher_ and Python Practise/015 [Activity] A Crash Course in matplotlib.mp4 51.7 MB
10 Deep Learning and Neural Networks/073 [Activity] Deep Learning in the Tensorflow Playground.mp4 51.4 MB
05 Recommender Systems/039 [Activity] Finding Movie Similarities.mp4 50.8 MB
04 Machine Learning with Python/024 Supervised vs_ Unsupervised Learning_ and Train_Test.mp4 50.1 MB
07 Dealing with Real-World Data/050 [Activity] K-Fold Cross-Validation to avoid overfitting.mp4 48.1 MB
05 Recommender Systems/042 [Exercise] Improve the recommender's results.mp4 48.1 MB

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【影视】 [DesireCourse.Com] Udemy - Data Science Supervised Machine Learning in Python

收录时间:2021-04-23 文档个数:40 文档大小:429.2 MB 最近下载:2025-05-15 人气:1000 磁力链接

09 Appendix/035 How to install Numpy Scipy Matplotlib and Sci-Kit Learn.mp4 46.0 MB
04 Decision Trees/021 Decision Tree in Code.mp4 31.8 MB
09 Appendix/036 How to Code by Yourself part 1.mp4 25.7 MB
02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4 18.8 MB
06 Practical Machine Learning/030 Sci-Kit Learn.mp4 16.6 MB
03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4 16.5 MB
09 Appendix/037 How to Code by Yourself part 2.mp4 15.5 MB
03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4 15.1 MB
04 Decision Trees/019 Maximizing Information Gain.mp4 14.6 MB
05 Perceptrons/023 Perceptron in Code.mp4 14.4 MB
05 Perceptrons/022 Perceptron Concepts.mp4 12.8 MB
07 Building a Machine Learning Web Service/033 Building a Machine Learning Web Service Code.mp4 12.4 MB
06 Practical Machine Learning/031 Regression with Sci-Kit Learn is Easy.mp4 11.3 MB
03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 10.9 MB
01 Introduction and Review/004 How to Succeed in this Course.mp4 9.2 MB
05 Perceptrons/024 Perceptron for MNIST and XOR.mp4 9.2 MB
06 Practical Machine Learning/028 Comparison to Deep Learning.mp4 9.1 MB
02 K-Nearest Neighbor/005 K-Nearest Neighbor Concepts.mp4 9.0 MB
04 Decision Trees/017 Decision Tree Basics.mp4 8.7 MB
02 K-Nearest Neighbor/007 When KNN Can Fail.mp4 8.1 MB

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【文档书籍】 IRMA. Deep Learning and Neural Networks.Concepts,...App. 2020

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IRMA. Deep Learning and Neural Networks. Concepts,...and App. 2020.pdf 104.7 MB

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【影视】 [Brazzers-MliB] Learning From the Best (Holly Halston & Noelle Easton) [480p]

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【影视】 [UdemyCourseDownloader] Regression Analysis for Statistics & Machine Learning in R

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1. Get Started with Practical Regression Analysis in R/8. Basic Exploratory Data Analysis in R.mp4 50.6 MB
1. Get Started with Practical Regression Analysis in R/5. Reading in Data with R.mp4 44.7 MB
1. Get Started with Practical Regression Analysis in R/6. Data Cleaning with R.mp4 42.5 MB
6. Generalized Linear Models(GLMs)/2. Logistic regression.mp4 41.0 MB
7. Working with Non-Parametric and Non-Linear Data/3. Generalized Additive Models (GAMs) in R.mp4 40.4 MB
3. Deal with Multicollinearity in OLS Regression Models/1. Identify Multicollinearity.mp4 40.0 MB
2. Ordinary Least Square Regression Modelling/10. Multiple Linear regression with Interaction and Dummy Variables.mp4 39.4 MB
4. Variable & Model Selection/5. Evaluate Regression Model Performance.mp4 36.5 MB
4. Variable & Model Selection/2. Select the Most Suitable OLS Regression Model.mp4 34.9 MB
2. Ordinary Least Square Regression Modelling/11. Some Basic Conditions that OLS Models Have to Fulfill.mp4 32.0 MB
5. Dealing With Other Violations of the OLS Regression Models/1. Data Transformations.mp4 30.4 MB
7. Working with Non-Parametric and Non-Linear Data/9. Random Forest(RF).mp4 29.6 MB
6. Generalized Linear Models(GLMs)/3. Logistic Regression for Binary Response Variable.mp4 27.6 MB
3. Deal with Multicollinearity in OLS Regression Models/3. Principal Component Regression in R.mp4 26.7 MB
7. Working with Non-Parametric and Non-Linear Data/7. CART-Regression Trees in R.mp4 26.4 MB
2. Ordinary Least Square Regression Modelling/1. OLS Regression- Theory.mp4 26.1 MB
7. Working with Non-Parametric and Non-Linear Data/2. Polynomial and Non-linear regression.mp4 25.4 MB
1. Get Started with Practical Regression Analysis in R/7. Some More Data Cleaning with R.mp4 24.0 MB
4. Variable & Model Selection/7. Identify the Contribution of Predictors in Explaining the Variation in Y.mp4 23.0 MB
7. Working with Non-Parametric and Non-Linear Data/5. Multivariate Adaptive Regression Splines (MARS).mp4 22.7 MB

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【影视】 [DesireCourse.Com] Udemy - Learning Data Structures in JavaScript from Scratch

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01-introduction-to-data-structures-and-important-concepts/001-what-are-data-structures-and-why-are-they-important.mp4 28.5 MB
01-introduction-to-data-structures-and-important-concepts/002-constructor-functions-and-the-this-keyword.mp4 19.5 MB
02-linked-lists/017-big-o-notation-and-calculating-the-runtime-of-a-function.mp4 18.6 MB
03-binary-search-trees/024-insert-method.mp4 17.4 MB
03-binary-search-trees/028-depth-first-traversal-inorder.mp4 16.1 MB
02-linked-lists/013-search-method.mp4 14.7 MB
03-binary-search-trees/035-breadth-first-traversal-part-2.mp4 14.6 MB
02-linked-lists/007-add-to-head-part-2.mp4 14.2 MB
02-linked-lists/005-linked-list-and-node-constructor-functions.mp4 14.1 MB
04-hash-tables/047-refactoring-insert-method.mp4 13.5 MB
04-hash-tables/052-hash-table-exercise-review.mp4 13.5 MB
03-binary-search-trees/021-what-is-a-binary-search-tree.mp4 12.9 MB
04-hash-tables/045-insert-method.mp4 12.8 MB
04-hash-tables/049-get-method.mp4 12.8 MB
01-introduction-to-data-structures-and-important-concepts/003-the-prototype-object.mp4 12.6 MB
02-linked-lists/011-remove-head.mp4 12.4 MB
02-linked-lists/008-using-add-to-head.mp4 12.3 MB
04-hash-tables/041-what-is-a-hash-table.mp4 11.9 MB
02-linked-lists/016-linked-list-exercise-review.mp4 11.6 MB
03-binary-search-trees/023-recursion-part-2-and-the-call-stack.mp4 11.2 MB

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【影视】 [ FreeCourseWeb.com ] Udemy - Enticing random Pearls of Machine Learning-The gist of 21-22

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~Get Your Files Here !/1. Introduction/7. mean shift from scratch.mp4 167.7 MB
~Get Your Files Here !/1. Introduction/2. K means clustering.mp4 152.8 MB
~Get Your Files Here !/1. Introduction/9. Using clustering for semi supervised learning.mp4 148.7 MB
~Get Your Files Here !/1. Introduction/8. Using clustering with preprocessing.mp4 145.1 MB
~Get Your Files Here !/1. Introduction/6. More Highlight-Unsupervised-Clustering -Kmeans.mp4 94.4 MB
~Get Your Files Here !/1. Introduction/5. hierarchical clustering.mp4 92.5 MB
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~Get Your Files Here !/1. Introduction/11. DBSCAN-1.mp4 82.8 MB
~Get Your Files Here !/2. Introducing a bit off Matplotlib/1. Gridspec and other functions#221.mp4 79.7 MB
~Get Your Files Here !/2. Introducing a bit off Matplotlib/2. Gridspec using Subplotspec#222.mp4 70.0 MB
~Get Your Files Here !/1. Introduction/12. DBSCAN-2.mp4 65.1 MB
~Get Your Files Here !/1. Introduction/4. K Means Clustering finishing.mp4 51.6 MB
~Get Your Files Here !/1. Introduction/3. K Means clustering -cont.mp4 51.5 MB
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~Get Your Files Here !/1. Introduction/2. K means clustering.srt 25.1 kB
~Get Your Files Here !/1. Introduction/9. Using clustering for semi supervised learning.srt 21.6 kB
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~Get Your Files Here !/1. Introduction/8. Using clustering with preprocessing.srt 16.7 kB
~Get Your Files Here !/2. Introducing a bit off Matplotlib/1. Gridspec and other functions#221.srt 15.9 kB
~Get Your Files Here !/1. Introduction/5. hierarchical clustering.srt 14.4 kB

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【影视】 [ DevCourseWeb.com ] Udemy - Digital Tools For K-12 Remote Learning

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~Get Your Files Here !/4. Trending Digital Tools/8. Canva.mp4 48.6 MB
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~Get Your Files Here !/1. Google Drive Apps for Education/6. Google Drawings.mp4 42.0 MB
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~Get Your Files Here !/2. Screencasting For Asynchronous Learning/7. Creating a Thumbnail for Your YouTube Video.mp4 25.2 MB
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~Get Your Files Here !/2. Screencasting For Asynchronous Learning/8. Uploading a Video to YouTube.mp4 21.5 MB

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【影视】 Lynda – Learning V-Ray for Maya A Professional Reference Guide

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1. Getting Started with V-Ray/What is V-Ray.mp4 6.8 MB
2. V-Ray Lights/The Dome light.mp4 15.1 MB
2. V-Ray Lights/The Rectangle light.mp4 33.3 MB
2. V-Ray Lights/The Sphere light.mp4 33.0 MB
2. V-Ray Lights/Using images and HDRs on lights.mp4 29.2 MB
2. V-Ray Lights/Using linear color space and the V-Ray Frame Buffer.mp4 45.7 MB
2. V-Ray Lights/V-Ray Sun and Sky.mp4 27.1 MB
3. V-Ray Shaders/The V-Ray Blend material.mp4 21.0 MB
3. V-Ray Shaders/The V-Ray Car Paint material.mp4 43.3 MB
3. V-Ray Shaders/The V-Ray Light material.mp4 19.1 MB
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3. V-Ray Shaders/V-Ray textures Dirt for ambient occlusion and edges.mp4 20.7 MB
4. GI Methodology/Brute force.mp4 20.1 MB
4. GI Methodology/Irradiance mapping.mp4 20.8 MB
4. GI Methodology/Light caching.mp4 31.3 MB
4. GI Methodology/Popular GI engine combinations.mp4 31.4 MB
4. GI Methodology/Primary and secondary bounces.mp4 20.9 MB
4. GI Methodology/What is global illumination (GI) in V-Ray.mp4 9.2 MB
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【压缩文件】 [DesireCourse.Net] Udemy - Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

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【文档书籍】 20 Programming Learning Books Collection PDF-EPUB [Set 1]

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Learning C# Programming With Unity 3d Alex Okita.pdf 124.1 MB
Programming Microsoft Office 365 Covers Microsoft Graph Int Add Ins Office 365 Groups And More Pialorsi Paolo.epub 28.4 MB
Y Daniel Liang Introduction To Java Programming Comprehensive Version Prentice Hall.pdf 20.8 MB
Programming Ios 12 Matt Neuburg.pdf 13.2 MB
Programming Fundamentals Using Matlab Weeks Michael;.pdf 12.9 MB
Beginning X64 Assembly Programming Jo Van Hoey.epub 12.7 MB
Charles Bell Auth Micropython For The Internet Of Thingsming With Python On Microcontrollers Apress.pdf 12.5 MB
John Paul Mueller Beginning Programming With Python For Dummies.pdf 10.9 MB
Cesar Perez Lopez Matlab Graphical Programming Practical Hands On Matlab Solutions Apress 2.pdf 9.1 MB
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Paul Battisson Mastering Apex Programming A Developers Gulesforce Applications Packt Publishing 2020.pdf 5.3 MB
Mark Williams Cory Benfield Brian Warner Moshe Zadka Dusthronous Programming With Python Apress 2019.pdf 5.0 MB
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【压缩文件】 Master Computer Vision™ OpenCV4 in Python with Deep Learning- [UdemyCourseDownloader]

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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/9.2 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
4. Image Segmentation & Contours/1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 113.1 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
1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.mp4 94.3 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.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
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2.1 datasets.zip.zip 68.9 MB
6. Object Detection - Build a Face, People and CarVehicle Detectors/1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp4 68.4 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/4. Forward Propagation.mp4 66.4 MB

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【影视】 [08-2020] python-data-science-machine-learning-bootcamp

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04 Introduction to Optimisation and the Gradient Descent Algorithm/036 [Python] - Loops and the Gradient Descent Algorithm.mp4 471.0 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 468.5 MB
12 Serving a Tensorflow Model through a Website/198 Introduction to OpenCV.mp4 453.3 MB
12 Serving a Tensorflow Model through a Website/200 Calculating the Centre of Mass and Shifting the Image.mp4 425.6 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/169 Model Evaluation and the Confusion Matrix.mp4 384.2 MB
03 Python Programming for Data Science and Machine Learning/021 [Python] - Module Imports.mp4 366.5 MB
11 Use Tensorflow to Classify Handwritten Digits/183 Different Model Architectures_ Experimenting with Dropout.mp4 352.1 MB
05 Predict House Prices with Multivariable Linear Regression/068 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 350.7 MB
12 Serving a Tensorflow Model through a Website/193 Loading a Tensorflow.js Model and Starting your own Server.mp4 336.9 MB
12 Serving a Tensorflow Model through a Website/195 Styling an HTML Canvas.mp4 327.6 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/038 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 317.0 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/167 Use the Model to Make Predictions.mp4 314.6 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/040 How to Create 3-Dimensional Charts.mp4 308.6 MB
12 Serving a Tensorflow Model through a Website/196 Drawing on an HTML Canvas.mp4 305.1 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/166 Use Regularisation to Prevent Overfitting_ Early Stopping & Dropout Techniques.mp4 301.0 MB
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