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【影视】 [Tutorialsplanet.NET] Udemy -Projects in Machine Learning Beginner To Professional

收录时间:2021-04-27 文档个数:142 文档大小:4.6 GB 最近下载:2025-04-28 人气:134 磁力链接

12. Project 7 Text Classification/2. Feature Engineering.mp4 393.6 MB
11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4 374.9 MB
9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4 338.8 MB
11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4 271.4 MB
13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4 242.1 MB
9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4 227.5 MB
13. Project 8 - KMeans/3. Evaluation and Visualization.mp4 219.7 MB
10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4 215.6 MB
12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4 214.2 MB
9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4 208.0 MB
14. Project 9 PCA/3. PCA Compression and Visualization.mp4 194.0 MB
10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4 189.3 MB
10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4 179.1 MB
14. Project 9 PCA/2. The Elbow Method.mp4 119.7 MB
6. Warmup Project/3. Building and Training the Network Part 2.mp4 66.4 MB
1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4 55.6 MB
8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp4 51.3 MB
8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp4 39.4 MB
2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4 38.0 MB
6. Warmup Project/2. Building and Training the Network Part 1.mp4 37.8 MB

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

收录时间:2022-02-05 文档个数:88 文档大小:7.2 GB 最近下载:2025-04-28 人气:703 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】 Lynda - Learning Grasshopper (2021)

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08 Example Projects/002 How to create attractor points in Grasshopper-.mp4 35.5 MB
08 Example Projects/004 How to create diagonal grid surfaces in Grasshopper-.mp4 31.6 MB
08 Example Projects/005 How to create curvature spheres in Grasshopper-.mp4 28.0 MB
05 Curves and Surfaces/003 How to generate freeform surfaces in Grasshopper---.mp4 27.9 MB
06 Transformations/004 How to apply transformations algorithmically in Grasshopper.mp4 26.8 MB
08 Example Projects/007 How to make panel surfaces in Grasshopper-.mp4 26.7 MB
05 Curves and Surfaces/006 How to use polygon mesh components in Grasshopper---.mp4 26.5 MB
05 Curves and Surfaces/005 How to analyze surface data in Grasshopper--.mp4 25.9 MB
06 Transformations/002 How to use Rotate components in Grasshopper---.mp4 23.2 MB
06 Transformations/003 How to perform Scale transformations in Grasshopper-.mp4 22.7 MB
07 Data Tree/006 How to understand data tree structures in Grasshopper--.mp4 21.7 MB
03 Working in Grasshopper/013 How to navigate large Grasshopper definitions.mp4 21.1 MB
04 Math and Logic Functions/008 How to make custom parametric math functions in Grasshopper.mp4 21.0 MB
04 Math and Logic Functions/001 How to use data matching in Grasshopper-.mp4 20.6 MB
04 Math and Logic Functions/012 How to move geometry with vectors in Grasshopper.mp4 19.5 MB
05 Curves and Surfaces/002 How to analyze curve data in Grasshopper--.mp4 19.1 MB
07 Data Tree/008 How to merge and separate data paths in Grasshopper--.mp4 18.5 MB
05 Curves and Surfaces/001 How to use spline curve components in Grasshopper-.mp4 18.5 MB
04 Math and Logic Functions/006 How to generate random and Fibonacci sequences in Grasshopper.mp4 17.9 MB
03 Working in Grasshopper/016 How to organize complex Grasshopper definitions with groups and clusters-.mp4 17.8 MB

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【影视】 [Infinite Skills] Learning Eclipse Java IDE Video Tutorial-KTR

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08.Navigate And Searching/Generating Javadocs And Opening Attached Javadoc.mp4 22.6 MB
03.Advanced Project Operations/Importing And Configuring An Existing Project.mp4 17.2 MB
01.Getting Started/Install Eclipse For Linux.mp4 14.1 MB
09.Building And Running Projects/Setting Breakpoints, Watchers And Stepping Through Code.mp4 12.6 MB
05.File And Edit Menus/Move, Rename, Refresh, Convert Line Delimiters, Print, and Restart.mp4 12.3 MB
02.Creating A Project/Creating Classes.mp4 12.1 MB
07.Refactoring/Extracting Superclass And Interface.mp4 11.8 MB
07.Refactoring/Renaming And Moving Files.mp4 11.7 MB
08.Navigate And Searching/Open Declaration Type And Type Hierarchy.mp4 11.5 MB
05.File And Edit Menus/Find, Replace, Next and Previous.mp4 11.5 MB
07.Refactoring/Extracting Class And Introducing Parameter Object.mp4 11.2 MB
01.Getting Started/Install Eclipse For Windows.mp4 11.2 MB
03.Advanced Project Operations/Adding JUnit Tests.mp4 11.0 MB
06.Source/Sorting Members And Custom Clean Up.mp4 10.9 MB
01.Getting Started/Installing Plugins.mp4 10.8 MB
06.Source/Surrounding Blocks Of Code For Try, Catch Conditions And Loops.mp4 10.5 MB
07.Refactoring/Converting Local Variable To Field.mp4 10.5 MB
07.Refactoring/Extracting Expressions To Variables Or Constants.mp4 9.9 MB
05.File And Edit Menus/New, Open, Close And Save.mp4 9.3 MB
01.Getting Started/General Eclipse Overview.mp4 8.9 MB

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【影视】 [CourseClub.NET] Lynda - Learning 3D Graphics Web Three js

收录时间:2021-03-14 文档个数:97 文档大小:687.5 MB 最近下载:2025-04-28 人气:762 磁力链接

05 Animation/006 Animation rig, part 2.mp4 48.3 MB
05 Animation/007 Tween.js.mp4 34.3 MB
09 Post-Processing/002 EffectComposer.mp4 32.7 MB
07 Geometries/002 Manipulating vertices.mp4 30.5 MB
08 Particles/002 Animating the particle system.mp4 26.9 MB
05 Animation/002 Math.sin() and Math.cos().mp4 26.8 MB
08 Particles/001 Creating a particle system.mp4 24.8 MB
05 Animation/005 Animation rig.mp4 23.8 MB
06 Materials and Textures/004 Texture maps.mp4 23.8 MB
02 Building a Simple Scene/004 Populate the scene.mp4 21.4 MB
07 Geometries/001 Primitive geometries.mp4 20.9 MB
04 Lights/008 DirectionalLight.mp4 20.3 MB
08 Particles/003 Particle system from geometry.mp4 20.2 MB
06 Materials and Textures/006 Environment maps.mp4 20.0 MB
04 Lights/007 SpotLight.mp4 19.9 MB
07 Geometries/003 External geometries.mp4 18.6 MB
04 Lights/002 Light types.mp4 16.7 MB
02 Building a Simple Scene/005 Create a ground plane.mp4 16.2 MB
03 Three.js Scene Object/003 Other Object3D properties.mp4 15.9 MB
06 Materials and Textures/002 MeshLambertMaterial and MeshPhongMaterial.mp4 13.9 MB

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【影视】 [FreeCourseSite.com] Udemy - Learn Machine Learning Maths Behind

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1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/1. Machine Learning ( Algorithms) Types - Part 1.mp4 101.8 MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/1. Machine Learning ( Algorithms) Types - Part 1.vtt 4.8 kB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/10. Naive Bayes Graphical Proof.mp4 227.3 MB
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1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/11. Expert System With Naive Bayes.mp4 226.4 MB
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1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/2. Machine Learning ( Algorithms) Types - Part 2.mp4 200.8 MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/2. Machine Learning ( Algorithms) Types - Part 2.vtt 9.4 kB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/3. 5 Types of Different Problems Which Can be Solved With Machine Learning.mp4 150.7 MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/3. 5 Types of Different Problems Which Can be Solved With Machine Learning.vtt 7.4 kB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/4. Machine Learning Algorithms and Why It Matters.mp4 43.8 MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/4. Machine Learning Algorithms and Why It Matters.vtt 2.1 kB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/5. Rating Machine Learning Algorithms.mp4 153.2 MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/5. Rating Machine Learning Algorithms.vtt 7.6 kB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/6. Algorithms We are Going to Cover and What They Can Do.mp4 154.3 MB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/6. Algorithms We are Going to Cover and What They Can Do.vtt 8.0 kB
1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/7. Starting With Naive Bayes.mp4 115.3 MB
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1. Prerequisite Machine Learning Basic and Introduction With Naive Bayes/8. How Naive Bayes Works and Proof.mp4 134.1 MB
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【影视】 [FreeCourseLab.com] Udemy - Learning Python for Data Analysis and Visualization

收录时间:2021-04-06 文档个数:226 文档大小:2.1 GB 最近下载:2025-04-28 人气:1543 磁力链接

10. Machine Learning/16. Decision Trees and Random Forests.mp4 160.4 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 97.1 MB
9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 86.1 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4 70.4 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4 62.6 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4 46.0 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4 41.4 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 38.6 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 37.7 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 37.0 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 32.4 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 32.2 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 32.1 MB
2. Setup/2. IDEs and Course Resources.mp4 31.8 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 28.5 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 28.3 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 28.1 MB
9. Example Projects/1. Data Projects Preview.mp4 27.1 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 26.2 MB
9. Example Projects/15. Data Project - Election Analysis Part 2.mp4 26.1 MB

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【影视】 [FreeCourseSite.com] Udemy - Machine Learning Classification Bootcamp in Python

收录时间:2021-05-06 文档个数:165 文档大小:6.1 GB 最近下载:2025-04-28 人气:622 磁力链接

4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 168.6 MB
7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 164.0 MB
5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 155.1 MB
2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 144.2 MB
8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 143.1 MB
1. Introduction/2.1 ML Classification Package.zip 138.2 MB
8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 128.8 MB
6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 100.2 MB
1. Introduction/5. Course Overview.mp4 99.5 MB
5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 99.2 MB

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【影视】 [FreeTutorials.Eu] Udemy - Deep Learning Advanced NLP and RNNs

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8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 202.6 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 174.5 MB
2. Review/6. CNN Code (part 1).mp4 155.8 MB
8. Appendix/10. What order should I take your courses in (part 2).mp4 128.6 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 121.5 MB
5. Attention/5. Attention Code 1.mp4 104.8 MB
8. Appendix/9. What order should I take your courses in (part 1).mp4 92.3 MB
4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.mp4 88.4 MB
4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.mp4 86.6 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 86.1 MB
6. Memory Networks/3. Memory Networks Code 1.mp4 83.5 MB
8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Attention/8. Building a Chatbot without any more Code.mp4 79.9 MB
4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.mp4 69.8 MB
7. Basics Review/2. (Review) Keras Neural Network in Code.mp4 69.3 MB
2. Review/4. What is a CNN.mp4 65.0 MB
5. Attention/2. Attention Theory.mp4 64.8 MB
2. Review/7. CNN Code (part 2).mp4 62.2 MB
2. Review/2. What is a word embedding.mp4 60.3 MB
2. Review/10. Different Types of RNN Tasks.mp4 59.5 MB

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【影视】 [FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2021

收录时间:2021-03-08 文档个数:841 文档大小:20.8 GB 最近下载:2025-04-27 人气:246 磁力链接

5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB

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【影视】 [FreeCoursesOnline.Me] [Apress] Ethical Hacking - Learning the Basics [FCO]

收录时间:2021-03-18 文档个数:18 文档大小:392.5 MB 最近下载:2025-04-27 人气:1494 磁力链接

12 - Exploitation Attack.mp4 127.7 MB
10 - Scanning Example.mp4 57.5 MB
08 - Footprinting Example.mp4 33.0 MB
04 - Installation of Windows and Kali Linux.mp4 30.9 MB
01 - Introduction to Ethical Hacking.mp4 29.6 MB
02 - Ethical Hacking Terminologies.mp4 25.1 MB
11 - Exploitation Basics.mp4 20.7 MB
07 - Footprinting Basics.mp4 19.3 MB
06 - Basic Operations in Linux.mp4 16.0 MB
03 - Installation of Virtual Machine.mp4 13.5 MB
05 - Common Linux Terminal Commands.mp4 12.7 MB
09 - Scanning Basics.mp4 6.5 MB
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