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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Hands-On Neural Networks- Build Machine Learning Models.zip

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【压缩文件】 Linkedin Learning Introduction to BIM 360 Next Gen

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Ex_Files_Introduction_to_BIM_360_Next_Gen.zip 69.7 MB
05-BIM_360_Coordinate/001-Coordination_and_clash_detection.mp4 34.7 MB
06-BIM_360_Build/002-Tracking_project_questions_with_RFIs.mp4 24.8 MB
03-BIM_360_Document_Management/007-Using_reviews_to_approve_documents.mp4 17.7 MB
06-BIM_360_Build/004-Working_with_submittals.mp4 17.5 MB
03-BIM_360_Document_Management/004-Collaboration_using_mark-ups.mp4 17.4 MB
04-BIM_360_Design/002-Design_collaboration.mp4 15.2 MB
03-BIM_360_Document_Management/005-Working_with_issues.mp4 15.2 MB
06-BIM_360_Build/005-Working_with_checklist_templates.mp4 14.4 MB
03-BIM_360_Document_Management/001-Uploading_files_and_Desktop_Connector_part_1.mp4 13.9 MB
02-BIM_360_Overview/001-What_is_BIM_.mp4 11.7 MB
02-BIM_360_Overview/003-BIM_360_modules.mp4 11.2 MB
03-BIM_360_Document_Management/003-Managing_files_folders_and_permissions.mp4 10.4 MB
04-BIM_360_Design/001-Revit_Cloud_worksharing.mp4 10.4 MB
06-BIM_360_Build/006-Working_with_checklists.mp4 10.3 MB
03-BIM_360_Document_Management/002-Uploading_files_and_Desktop_Connector_part_2.mp4 8.7 MB
03-BIM_360_Document_Management/006-Using_transmittals_to_share_documents.mp4 7.6 MB
02-BIM_360_Overview/006-Managing_users_roles_and_companies.mp4 7.4 MB
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02-BIM_360_Overview/002-What_is_a_cloud_platform_.mp4 5.9 MB

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【压缩文件】 [ FreeCourseWeb.com ] Machine Learning, incl. Deep Learning, with R (Updated).zip

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【影视】 [FreeCourseSite.com] Udemy - Data Science and Machine Learning Bootcamp with R

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4. Mac OS Installation Set-Up/1. Mac OS Installation Procedure.mp4 74.9 MB
18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 66.4 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 62.6 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 62.4 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 60.5 MB
15. Data Visualization with R/2. Histograms.mp4 59.7 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 59.0 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 58.3 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 57.4 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 56.6 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 49.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 49.0 MB
21. Machine Learning Project - Linear Regression/1. Introduction to Linear Regression Project.mp4 48.8 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 48.6 MB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip 47.8 MB
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip 47.8 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4 47.7 MB
15. Data Visualization with R/3. Scatterplots.mp4 47.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 45.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 44.9 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Learning Microsoft Azure Step by Step Part 2.zip

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[ FreeCourseWeb.com ] Udemy - Learning Microsoft Azure Step by Step Part 2.zip 992.4 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning with TensorFlow 2.0 [2020]

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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
13. Business case/4. Preprocessing the data.mp4 88.4 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 69.5 MB
13. Business case/9. Setting an early stopping mechanism.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4 43.6 MB
12. The MNIST example/10. Learning.mp4 42.9 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
3. Setting up the working environment/9. Installing TensorFlow 2.mp4 40.6 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
5. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
5. TensorFlow - An introduction/1. TensorFlow outline.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
3. Setting up the working environment/2. Why Python and why Jupyter.mp4 33.6 MB
13. Business case/8. Learning and interpreting the result.mp4 32.7 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Learn Python, Packages, and Deep Learning in 9 Hours.zip

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[ FreeCourseWeb.com ] Udemy - Learn Python, Packages, and Deep Learning in 9 Hours.zip 3.1 GB

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【影视】 GirlsGonePink - Molly Stewart, Scarlett Mae - Learning To Get Along

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

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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】 [GigaCourse.com] Udemy - Learn Python 3 - Your First Step to Learning Python

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2. Setup a Proper Python Environment/1. Download All Python Environment Software.mp4 76.3 MB
9. Python Dictionaries/2. Accessing Items Dictionary Keys.mp4 68.6 MB
10. Python Sets/2. Unordered and Unindexed Python Set.mp4 65.4 MB
9. Python Dictionaries/6. Dictionary Methods.mp4 64.6 MB
6. Python Strings/1. String Literals In Python.mp4 62.1 MB
10. Python Sets/3. Set Methods.mp4 59.2 MB
7. Python Lists/5. Update Python List Values.mp4 56.9 MB
3. Python Getting Started/3. Python Statement Order.mp4 55.5 MB
9. Python Dictionaries/1. Create A Python Dictionary.mp4 54.0 MB
4. Python Variables/1. Introduction to Python Variables.mp4 52.8 MB
7. Python Lists/4. Multi-Dimensional Python Lists.mp4 52.4 MB
7. Python Lists/3. Mutable vs Immutable Objects In Python.mp4 52.3 MB
6. Python Strings/9. Python String Methods split() and join().mp4 48.8 MB
9. Python Dictionaries/4. Deleting and Clearing Python Dictionary items.mp4 46.9 MB
9. Python Dictionaries/3. Python Dictionary update().mp4 46.7 MB
6. Python Strings/8. Python Slice().mp4 45.1 MB
7. Python Lists/8. Python Variable Synchronization and copy().mp4 45.1 MB
6. Python Strings/4. Python Escape.mp4 44.9 MB
3. Python Getting Started/2. Code Blocks and Indentation In Python.mp4 43.6 MB
5. Python Numbers/1. Python Arithmetic and Assignment Operators.mp4 43.2 MB

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【影视】 Linkedin - Learning Managing Python

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06 - Development Process/08 - Solution Implement features.mp4 9.7 MB
02 - Why Management Is Important/01 - Working together as a team.mp4 8.3 MB
05 - Testing/05 - Skipping and marks.mp4 7.4 MB
05 - Testing/03 - Pytest overview.mp4 7.4 MB
06 - Development Process/05 - Code review.mp4 5.5 MB
06 - Development Process/02 - Source control.mp4 5.4 MB
06 - Development Process/03 - Issue tracking.mp4 5.3 MB
04 - Dependency Management/02 - Package managers.mp4 5.2 MB
06 - Development Process/04 - Feature branches.mp4 5.0 MB
01 - Introduction/01 - Managing Python day-to-day.mp4 5.0 MB
04 - Dependency Management/01 - The problem.mp4 4.9 MB
04 - Dependency Management/03 - virtualenvs.mp4 4.4 MB
04 - Dependency Management/06 - Solution Create environment.mp4 3.8 MB
04 - Dependency Management/04 - Production vs. development.mp4 3.8 MB
05 - Testing/08 - Solution Test cases from file.mp4 3.7 MB
03 - Directory Structure/05 - Makefile.mp4 3.7 MB
05 - Testing/04 - Fixtures.mp4 3.4 MB
03 - Directory Structure/01 - Overview.mp4 3.2 MB
03 - Directory Structure/06 - setup.py.mp4 3.2 MB
05 - Testing/02 - How much to test.mp4 3.2 MB

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【压缩文件】 [ FreeCourseWeb.com ] Deep Learning with Real World Projects.zip

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【影视】 GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science Bootcamp 2021

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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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【压缩文件】 [ FreeCourseWeb.com ] Practical Data Science with Python (Learning Path).zip

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【影视】 Learn Data Mining and Machine Learning With Python

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[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/24. Create Multiple Linear Regression Model in Python-Part 1.mp4 181.0 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/25. Create Multiple Linear Regression Model in Python-Part 2.mp4 148.1 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/26. Create Multiple Linear Regression Model in Python-Part 3.mp4 144.8 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/15. Create Simple Linear Regression Model in Python-Part 2.mp4 135.5 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/5. Create Hierarchical Clustering Algorithm in Python-1.mp4 134.5 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/31. Create Polynomial Regression Model in Python-Part 2.mp4 130.5 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/38. Create Logistic Regression Model in Python-Part 1.mp4 117.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/27. Create Multiple Linear Regression Model in Python-Part 4.mp4 86.3 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/30. Create Polynomial Regression Model in Python-Part 1.mp4 83.2 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/9. Create K-means Clustering Algorithm Model in Python - 1.mp4 82.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/6. Create Hierarchical Clustering Algorithm in Python-2.mp4 75.6 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/17. Create Simple Linear Regression Model in Python-Part 4.mp4 73.7 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/13. Create Association Rules (Market Basket Analysis) Model in Python - 1.mp4 72.8 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/50. Create Random Forest Model in Python.mp4 72.7 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/5. Deep Learning/8. Create Artificial Neural Network Model in Python Part-2.mp4 72.3 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/16. Create Simple Linear Regression Model in Python-Part 3.mp4 69.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/5. Deep Learning/9. Create Artificial Neural Network Model in Python Part-3.mp4 68.8 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/41. Create KNN Model in Python.mp4 68.4 MB
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[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/39. Create Logistic Regression Model in Python-Part 2.mp4 62.5 MB

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