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- 【影视】 KissMeFuckMe.24.01.29.Siri.Dahl.Charlie.Forde.Learning.Every.Curve.XXX.720p.HEVC.x265.PRT
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收录时间:2024-01-30
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KissMeFuckMe.24.01.29.Siri.Dahl.Charlie.Forde.Learning.Every.Curve.XXX.720p.HEVC.x265.PRT.mp4 415.9 MB
Provided by PornRips.to.nfo 47 Bytes
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- 【影视】 Why is Latin worth learning and using? 1080p.mp4
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收录时间:2024-03-16
文档个数:1
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Why is Latin worth learning and using? 1080p.mp4 529.1 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Python for Machine Learning The Complete Beginner's Course
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收录时间:2024-04-12
文档个数:178
文档大小:718.6 MB
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3. Multiple Linear Regression/3. Implementation in python Encoding Categorical Data.mp4 30.3 MB
4. Classification Algorithms K-Nearest Neighbors/7. Implementation in python Splitting data into Train and Test Sets.mp4 20.6 MB
8. Recommender System/6. Sorting by title and rating.mp4 20.3 MB
7. Clustering/6. Implementation in python.mp4 19.9 MB
3. Multiple Linear Regression/6. Implementation in python Predicting the Test Set results.mp4 18.7 MB
5. Classification Algorithms Decision Tree/6. Implementation in python Encoding Categorical Data.mp4 17.8 MB
1. Introduction to Machine Learning/6. Supervised learning vs Unsupervised learning.mp4 15.0 MB
6. Classification Algorithms Logistic regression/7. Implementation in python Results prediction & Confusion matrix.mp4 14.1 MB
3. Multiple Linear Regression/2. Implementation in python Exploring the dataset.mp4 14.0 MB
8. Recommender System/13. Correlation between the most-rated movies.mp4 13.9 MB
2. Simple Linear Regression/6. Implementation in python Creating a linear regression object.mp4 13.9 MB
6. Classification Algorithms Logistic regression/5. Implementation in python Pre-processing.mp4 13.8 MB
7. Clustering/14. 3D Visualization of the predicted values.mp4 13.5 MB
7. Clustering/10. Importing the dataset.mp4 13.4 MB
8. Recommender System/17. Repeating the process for another movie.mp4 13.3 MB
4. Classification Algorithms K-Nearest Neighbors/9. Implementation in python Importing the KNN classifier.mp4 13.1 MB
7. Clustering/11. Visualizing the dataset.mp4 13.0 MB
3. Multiple Linear Regression/8. Root Mean Squared Error in Python.mp4 12.4 MB
8. Recommender System/10. Data pre-processing.mp4 11.3 MB
6. Classification Algorithms Logistic regression/8. Logistic Regression vs Linear Regression.mp4 11.3 MB
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- 【影视】 Paul McKenna - Accelerated Learning
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收录时间:2017-04-19
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Paul McKenna - Accelerated Learning.avi 295.8 MB
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- 【影视】 Lynda - Learning Salesforce Admin
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收录时间:2017-09-27
文档个数:46
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08. Conclusion/01. Next steps.mp4 2.0 MB
01. Getting Prepared/02. Editions.mp4 2.9 MB
01. Getting Prepared/01. Clouds.mp4 4.5 MB
07. Data Security/03. Network access.mp4 4.9 MB
01. Getting Prepared/03. Planning the transition.mp4 5.3 MB
06. Data Management/04. Mass delete.mp4 5.7 MB
07. Data Security/05. Handling former users.mp4 6.1 MB
07. Data Security/04. Password policies.mp4 6.2 MB
03. Working with Salesforce/06. Calendars.mp4 6.2 MB
02. Users and Data Visibility/09. Field-level security.mp4 7.0 MB
02. Users and Data Visibility/08. Record access.mp4 7.0 MB
02. Users and Data Visibility/05. Restricting logins.mp4 7.2 MB
03. Working with Salesforce/07. Cases.mp4 7.2 MB
00. Introduction/01. Welcome.mp4 7.2 MB
07. Data Security/02. Sessions.mp4 7.4 MB
05. Reporting/03. Sharing reports.mp4 7.5 MB
06. Data Management/01. Importing.mp4 7.6 MB
01. Getting Prepared/04. Getting registered.mp4 8.0 MB
02. Users and Data Visibility/03. Profiles.mp4 8.4 MB
06. Data Management/05. Backup.mp4 8.6 MB
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- 【影视】 New.Nicole.Nichols.Learning.To.Be.Chaste.20.02.2024.Anal.Hardcore.Pov.Roleplay.Family.ILUVY.mp4
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收录时间:2024-02-21
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最近下载:2025-05-09
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New.Nicole.Nichols.Learning.To.Be.Chaste.20.02.2024.Anal.Hardcore.Pov.Roleplay.Family.ILUVY.mp4 502.9 MB
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- 【影视】 R Machine Learning solutions
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收录时间:2017-02-12
文档个数:125
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9 Clustering/R Machine Learning solutions [Video].mp4 33.0 MB
1 Getting Started with R/R Machine Learning solutions [Video].mp4 24.8 MB
1 Getting Started with R/R Machine Learning solutions [Video]_2.mp4 12.6 MB
1 Getting Started with R/R Machine Learning solutions [Video]_3.mp4 21.6 MB
1 Getting Started with R/R Machine Learning solutions [Video]_4.mp4 22.7 MB
1 Getting Started with R/R Machine Learning solutions [Video]_5.mp4 22.1 MB
1 Getting Started with R/R Machine Learning solutions [Video]_6.mp4 18.6 MB
1 Getting Started with R/R Machine Learning solutions [Video]_7.mp4 14.0 MB
1 Getting Started with R/R Machine Learning solutions [Video]_8.mp4 10.6 MB
10 Association Analysis and Sequence Mining/R Machine Learning solutions [Video].mp4 14.0 MB
10 Association Analysis and Sequence Mining/R Machine Learning solutions [Video]_2.mp4 9.0 MB
10 Association Analysis and Sequence Mining/R Machine Learning solutions [Video]_3.mp4 29.2 MB
10 Association Analysis and Sequence Mining/R Machine Learning solutions [Video]_4.mp4 9.6 MB
10 Association Analysis and Sequence Mining/R Machine Learning solutions [Video]_5.mp4 19.7 MB
10 Association Analysis and Sequence Mining/R Machine Learning solutions [Video]_6.mp4 14.1 MB
10 Association Analysis and Sequence Mining/R Machine Learning solutions [Video]_7.mp4 10.5 MB
10 Association Analysis and Sequence Mining/R Machine Learning solutions [Video]_8.mp4 14.7 MB
11 Dimension Reduction/R Machine Learning solutions [Video].mp4 31.3 MB
11 Dimension Reduction/R Machine Learning solutions [Video]_10.mp4 21.0 MB
11 Dimension Reduction/R Machine Learning solutions [Video]_2.mp4 30.1 MB
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- 【影视】 [FTUForum.com] [UDEMY] Python Machine Learning Basics Shallow Learning Algorithms [FTU]
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收录时间:2021-03-09
文档个数:39
文档大小:473.2 MB
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2. Machine Learning Framework/4. MI Python skeleton.mp4 61.5 MB
3. SVD/1. SVD implementation.mp4 55.6 MB
5. Going Live/3. Surpriselib and Flask.mp4 50.9 MB
2. Machine Learning Framework/1. Scikit Surprise.mp4 40.4 MB
4. KNN/1. KNN implementation.mp4 39.5 MB
3. SVD/2. SVD Theory.mp4 38.8 MB
5. Going Live/1. Display KNN neighbors.mp4 33.2 MB
1. Introduction/1. What is Machine Learning.mp4 30.1 MB
4. KNN/2. Knn theory.mp4 23.7 MB
5. Going Live/2. Display SVD Item Predictions.mp4 23.7 MB
2. Machine Learning Framework/2. Evaluation.mp4 22.6 MB
4. KNN/3. User vs Item.mp4 19.5 MB
1. Introduction/2. Shallow vs Deep learning.mp4 13.9 MB
1. Introduction/3. Theory vs Practice.mp4 12.0 MB
2. Machine Learning Framework/3. Install Python 3.5+.mp4 7.7 MB
2. Machine Learning Framework/4. MI Python skeleton.vtt 9.1 kB
2. Machine Learning Framework/2. Evaluation.vtt 8.1 kB
3. SVD/1. SVD implementation.vtt 7.0 kB
5. Going Live/3. Surpriselib and Flask.vtt 6.3 kB
1. Introduction/1. What is Machine Learning.vtt 5.9 kB
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- 【压缩文件】 [UdemyCourseDownloader] Python for Computer Vision with OpenCV and Deep Learning
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收录时间:2022-03-12
文档个数:217
文档大小:5.8 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
7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB
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- 【影视】 Udacity - Deep Learning Foundation v1.0.0
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收录时间:2022-04-04
文档个数:3746
文档大小:6.0 GB
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Part 03-Module 02-Lesson 03_Q&A with FloydHub Founders/01. Floyd QA-KUc59DPfBeo.mp4 226.1 MB
Part 01-Module 02-Lesson 01_Regression/03. Siraj's Intro to Deep Learning - How to Make a Prediction-QN1ZwKszguE.mp4 66.5 MB
Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/12. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MB
Part 07-Module 01-Lesson 04_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MB
Part 03-Module 07-Lesson 02_Siraj's Reinforcement Learning/01. How to Win Slot Machines - Intro to Deep Learning #13-AIeWLTUYLZQ.mp4 54.5 MB
Part 03-Module 08-Lesson 01_Siraj's Image Generation/01. How to Generate Images - Intro to Deep Learning #14-3-UDwk1U77s.mp4 53.2 MB
Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/13. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MB
Part 07-Module 01-Lesson 04_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MB
Part 11-Module 01-Lesson 09_Deep Q-Learning/07. Experience Replay-wX_-SZG-YMQ.mp4 50.7 MB
Part 03-Module 06-Lesson 02_Siraj's Chatbot/01. How to Make a Chatbot - Intro to Deep Learning #12-t5qgjJIBy9g.mp4 49.9 MB
Part 04-Module 01-Lesson 02_Siraj's Video Generation/01. How to Generate Video - Intro to Deep Learning #15--E2N1kQc8MM.mp4 49.1 MB
Part 11-Module 01-Lesson 10_Policy-Based Methods/07. M2L3 07 V2-ZBLLGIN1EfU.mp4 45.7 MB
Part 03-Module 03-Lesson 02_Siraj's Music Generation/01. How to Generate Music - Intro to Deep Learning #9-4DMm5Lhey1U.mp4 45.6 MB
Part 03-Module 02-Lesson 02_Siraj's Style Transfer/01. How to Generate Art - Intro to Deep Learning #8-Oex0eWoU7AQ.mp4 43.2 MB
Part 02-Module 05-Lesson 03_Siraj's Image Classification/02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.mp4 42.6 MB
Part 03-Module 01-Lesson 02_Siraj's Stock Prediction/01. How to Predict Stock Prices Easily - Intro to Deep Learning #7-ftMq5ps503w.mp4 41.3 MB
Part 11-Module 01-Lesson 09_Deep Q-Learning/10. DQN Improvements-Zfdbp93A2GU.mp4 41.3 MB
Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask/20. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MB
Part 07-Module 01-Lesson 04_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MB
Part 01-Module 01-Lesson 04_Applying Deep Learning/03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.mp4 40.0 MB
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- 【影视】 NubileFilms.22.04.02.Anny.Aurora.And.Jessica.Ryan.Learning.To.Share.XXX.SD.MP4-KLEENEX
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收录时间:2022-04-05
文档个数:3
文档大小:326.0 MB
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NubileFilms.22.04.02.Anny.Aurora.And.Jessica.Ryan.Learning.To.Share.XXX.SD.MP4-KLEENEX.mp4 326.0 MB
RARBG_DO_NOT_MIRROR.exe 99 Bytes
RARBG.txt 30 Bytes
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- 【影视】 GetFreeCourses.Co-Udemy-The Supervised Machine Learning Course
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收录时间:2023-12-18
文档个数:147
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6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
1 - Introduction/1 - Introduction.mp4 73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 48.2 MB
7 - Ridge and Lasso Regression/76 - The Hitters Dataset Preprocessing and Preparation.mp4 48.2 MB
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- 【影视】 MetArtX.22.10.06.Alice.Nekrasova.Learning.Process.2.XXX.480p.MP4-XXX
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收录时间:2024-01-30
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文档大小:121.9 MB
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metartx.22.10.06.alice.nekrasova.learning.process.2.mp4 121.9 MB
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- 【压缩文件】 [FreeCoursesOnline.Me] Pluralsight - Building Machine Learning Solutions With Java - Learning Paths
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收录时间:2024-03-06
文档个数:263
文档大小:1.7 GB
最近下载:2025-05-15
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2. Exploring Java Machine Learning Environments/exercise.zip 86.3 MB
1. Preparing Data for Machine Learning with Java/5. Data Transformation/4. Demo - Data Transformation Pipeline.mp4 36.0 MB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/5. Demo - Developing Beam SDK Pipelines.mp4 35.9 MB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/4. Demo - Data Preprocessing with DL4J.mp4 33.5 MB
1. Preparing Data for Machine Learning with Java/2. Ingesting Data from Files in Various Formats/5. Demo - Ingestion.mp4 30.1 MB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/3. Demo - Data Preparation and Loading with DL4J (Part 2 - DL4J DataSetIt.mp4 29.5 MB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/8. Demo - Coding for Selenium.mp4 28.3 MB
1. Preparing Data for Machine Learning with Java/exercise.zip 27.3 MB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/4. Demo - Using the File Watcher API.mp4 27.2 MB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/3. Demo - Visualizing Cluster Assignments.mp4 26.0 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/08. Demo - Training and Evaluating a Multiple Regression Model.mp4 26.0 MB
1. Preparing Data for Machine Learning with Java/3. Automating Data Collection and Scheduling/5. Demo - Using the Quartz Scheduler Library.mp4 25.9 MB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/5. Demo - Performing Classification on Text Data.mp4 24.9 MB
3. Implementing Machine Learning Workflow with Weka/02. Implementing Regression Models/09. Demo - Feature Selection and Ranking.mp4 24.2 MB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/4. Demo - Encoding Text Data in Numeric Form.mp4 24.0 MB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/2. Demo - Building and Evaluating a Classification Model.mp4 23.5 MB
3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/8. Demo - Deploying a Model Using SpringBoot.mp4 22.9 MB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/07. Demo - Building and Evaluating a Logistic Regression Classification .mp4 22.7 MB
3. Implementing Machine Learning Workflow with Weka/3. Implementing Classification Models/1. Demo - Feature Selection and Data Processing.mp4 22.2 MB
4. Implementing Machine Learning Workflow with RapidMiner/03. Using JSAT to Implement Machine Learning Models/03. Demo - Loading and Exploring Data.mp4 22.2 MB
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- 【压缩文件】 [Tutorialsplanet.NET] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
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收录时间:2021-03-08
文档个数:569
文档大小:6.8 GB
最近下载:2025-05-09
人气:854
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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.vtt 55.5 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 49.4 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
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- 【压缩文件】 [ FreeCourseWeb.com ] Skillshare - Data Science ,Linear Regression with Python - Write 1st Machine Learning Code in 30 min.zip
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收录时间:2021-05-08
文档个数:1
文档大小:205.5 MB
最近下载:2025-05-14
人气:854
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[ FreeCourseWeb.com ] Skillshare - Data Science ,Linear Regression with Python - Write 1st Machine Learning Code in 30 min.zip 205.5 MB
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- 【影视】 [ FreeCourseWeb.com ] Machine Learning with R, the tidyverse, and mlr. Video Edition
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收录时间:2025-01-17
文档个数:137
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~Get Your Files Here !/Chapter_9._Building_your_first_linear_regression_model.mp4 126.0 MB
~Get Your Files Here !/Chapter_16._Building_your_first_k-means_model.mp4 85.9 MB
~Get Your Files Here !/Chapter_18._Building_your_first_DBSCAN_model.mp4 73.2 MB
~Get Your Files Here !/Chapter_20._Final_notes_and_further_reading.mp4 69.0 MB
~Get Your Files Here !/Chapter_15._Building_your_first_SOM.mp4 64.8 MB
~Get Your Files Here !/Chapter_8._Improving_decision_trees_with_random_forests_and_boosting.mp4 62.6 MB
~Get Your Files Here !/Chapter_6._What_is_the_support_vector_machine_(SVM)_algorithm.mp4 62.3 MB
~Get Your Files Here !/Chapter_5._Classifying_by_maximizing_separation_with_discriminant_analysis.mp4 59.5 MB
~Get Your Files Here !/Chapter_17._Building_your_first_agglomerative_hierarchical_clustering_model.mp4 59.3 MB
~Get Your Files Here !/Chapter_4._Classifying_based_on_odds_with_logistic_regression.mp4 57.9 MB
~Get Your Files Here !/Chapter_18._Clustering_based_on_density_DBSCAN_and_OPTICS.mp4 57.4 MB
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