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【影视】 Udemy - Introduction to Machine Learning & Face Detection in Python (2015)

收录时间:2017-02-10 文档个数:40 文档大小:906.3 MB 最近下载:2025-05-14 人气:2906 磁力链接

08 Neural Networks/005 Applications of neural networks.mp4 24.5 MB
08 Neural Networks/007 Neural network example - XOR problem.mp4 26.2 MB
08 Neural Networks/002 Simple example - logical AND table.mp4 11.8 MB
08 Neural Networks/001 Neural network introduction.mp4 16.2 MB
08 Neural Networks/003 Training a neural network.mp4 34.9 MB
08 Neural Networks/004 Complex neural networks.mp4 34.0 MB
08 Neural Networks/006 Deep learning.mp4 11.1 MB
06 Tree Based Algorithms/008 Random forests example II - enhance decision trees.mp4 9.2 MB
06 Tree Based Algorithms/007 Random forests example I.mp4 9.3 MB
06 Tree Based Algorithms/004 Pruning and bagging.mp4 14.1 MB
06 Tree Based Algorithms/002 Decision trees example I.mp4 6.1 MB
06 Tree Based Algorithms/003 Decision trees example II - iris data.mp4 52.1 MB
06 Tree Based Algorithms/001 Decision trees introduction.mp4 40.1 MB
06 Tree Based Algorithms/006 Boosting.mp4 11.9 MB
06 Tree Based Algorithms/005 Random forests introduction.mp4 10.1 MB
02 Regression/005 Logistic regression example I - sigmoid function.mp4 48.3 MB
02 Regression/003 Logistic regression introduction.mp4 44.7 MB
02 Regression/004 Cross validation.mp4 19.8 MB
02 Regression/001 Linear regression introduction.mp4 31.4 MB
02 Regression/006 Logistic regression example II.mp4 16.7 MB

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【压缩文件】 [FreeCourseLab.com] Udemy - Advanced Machine Learning & Data Analysis Projects Bootcamp

收录时间:2018-11-16 文档个数:262 文档大小:6.3 GB 最近下载:2025-05-14 人气:1050 磁力链接

1. Introduction to Machine Learning + Software/1. Projects Overview.mp4 7.4 MB
1. Introduction to Machine Learning + Software/1. Projects Overview.vtt 2.8 kB
1. Introduction to Machine Learning + Software/2. Project Resources - Mammoth Interactive.html 74 Bytes
1. Introduction to Machine Learning + Software/2.1 Project Resources - Mammoth Interactive.zip.zip 456.2 MB
10. Building Apps With Machine Learning/1. Introduction - Improving Model Efficiency.mp4 29.2 MB
10. Building Apps With Machine Learning/1. Introduction - Improving Model Efficiency.vtt 7.8 kB
10. Building Apps With Machine Learning/2. Project Code - Mammoth Interactive.html 68 Bytes
10. Building Apps With Machine Learning/2.1 01. Project Code - Mammoth Interactive.zip.zip 4.7 kB
10. Building Apps With Machine Learning/3. Introduction to Tensorflow Lite.mp4 42.8 MB
10. Building Apps With Machine Learning/3. Introduction to Tensorflow Lite.vtt 14.1 kB
11. Text Summarizer/1. Introduction.mp4 21.2 MB
11. Text Summarizer/1. Introduction.vtt 8.6 kB
11. Text Summarizer/2. Exploring How Model Is Built.mp4 68.0 MB
11. Text Summarizer/2. Exploring How Model Is Built.vtt 18.2 kB
11. Text Summarizer/3. Exploring Training and Summarizing Mechanisms.mp4 48.8 MB
11. Text Summarizer/3. Exploring Training and Summarizing Mechanisms.vtt 12.7 kB
11. Text Summarizer/4. Exploring Training and Summarizing Code.mp4 38.6 MB
11. Text Summarizer/4. Exploring Training and Summarizing Code.vtt 10.5 kB
11. Text Summarizer/5. Testing the Model.mp4 25.7 MB
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【影视】 Machine Learning & Data Science A-Z Hands-on Python 2021

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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/12. Normalization.mp4 195.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB

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【压缩文件】 [CourseClub.NET] Lynda - Learning the Adobe Creative Cloud

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1.Introduction/01.Welcome.en.srt 1.6 kB
1.Introduction/01.Welcome.mp4 5.3 MB
2.1. Get Started with the Creative Cloud/02.What is Creative Cloud.en.srt 4.3 kB
2.1. Get Started with the Creative Cloud/02.What is Creative Cloud.mp4 3.9 MB
2.1. Get Started with the Creative Cloud/03.What is an Adobe ID.en.srt 5.6 kB
2.1. Get Started with the Creative Cloud/03.What is an Adobe ID.mp4 5.3 MB
2.1. Get Started with the Creative Cloud/04.Sign up for Creative Cloud.en.srt 9.1 kB
2.1. Get Started with the Creative Cloud/04.Sign up for Creative Cloud.mp4 17.1 MB
2.1. Get Started with the Creative Cloud/05.Explore the Creative Cloud website.en.srt 7.3 kB
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2.1. Get Started with the Creative Cloud/06.Manage your Adobe account and profile.en.srt 10.1 kB
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3.2. Work with Desktop Apps/07.Install Creative Cloud desktop on Windows.en.srt 8.0 kB
3.2. Work with Desktop Apps/07.Install Creative Cloud desktop on Windows.mp4 11.6 MB
3.2. Work with Desktop Apps/08.Install Creative Cloud desktop on Mac.en.srt 7.0 kB
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3.2. Work with Desktop Apps/09.Download and install apps.en.srt 4.9 kB
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【文档书籍】 Josh Starmer - The StatQuest Illustrated Guide To Machine Learning

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【压缩文件】 [ FreeCourseWeb.com ] PyTorch for Deep Learning with Python Bootcamp.zip

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[ FreeCourseWeb.com ] PyTorch for Deep Learning with Python Bootcamp.zip 2.0 GB

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【影视】 [FreeTutorials.Us] from-0-1-machine-learning

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02-jump-right-in-machine-learning-for-spam-detection/attached_files/004-machine-learning-why-should-you-jump-on-the-bandwagon/Ml-Intro-1.pdf 791.2 kB
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03-solving-classification-problems/attached_files/009-random-variables/Random-Variable.pdf 973.0 kB
03-solving-classification-problems/attached_files/010-bayes-theorem/Bayes-Theorem.pdf 944.5 kB
03-solving-classification-problems/attached_files/011-naive-bayes-classifier/Nb-1.pdf 1.4 MB
03-solving-classification-problems/attached_files/012-naive-bayes-classifier-an-example/Nb-2.pdf 1.9 MB
03-solving-classification-problems/attached_files/013-knearest-neighbors/Knn-1.pdf 835.5 kB
03-solving-classification-problems/attached_files/014-knearest-neighbors-a-few-wrinkles/Knn-2.pdf 924.4 kB
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04-clustering-as-a-form-of-unsupervised-learning/attached_files/018-clustering-introduction/Clustering-copy.pdf 3.1 MB
04-clustering-as-a-form-of-unsupervised-learning/attached_files/018-clustering-introduction/Ml-Clustering.pdf 973.9 kB
04-clustering-as-a-form-of-unsupervised-learning/attached_files/019-clustering-kmeans-and-dbscan/Clustering-copy.pdf 3.1 MB
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【压缩文件】 [DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
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43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
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27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB
40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 107.0 MB

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【影视】 Infinite Skills - Learning Windows PowerShell

收录时间:2017-02-10 文档个数:64 文档大小:592.6 MB 最近下载:2025-05-14 人气:2616 磁力链接

04. Learning PowerShell Commands/0412 Get-ChildItem.MP4 15.9 MB
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01. Introduction/0103 Course Overview.MP4 5.5 MB
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01. Introduction/0105 How To Access Your Working Files.MP4 7.7 MB
02. PowerShell Basics/0201 A Little History.MP4 8.7 MB
02. PowerShell Basics/0202 PowerShell Or CMD.MP4 9.7 MB
02. PowerShell Basics/0203 .NET Integration - Part 1.MP4 8.0 MB
02. PowerShell Basics/0204 .NET Integration - Part 2.MP4 8.7 MB
02. PowerShell Basics/0205 Backwards Compatability.MP4 9.2 MB
03. Getting Set Up With PowerShell/0301 Getting PowerShell.MP4 6.0 MB
03. Getting Set Up With PowerShell/0302 Installing PowerShell.MP4 7.9 MB
03. Getting Set Up With PowerShell/0303 Administrative Privileges.MP4 5.7 MB
03. Getting Set Up With PowerShell/0304 Post Installation.MP4 9.0 MB
03. Getting Set Up With PowerShell/0305 Configuring The Console.MP4 10.0 MB
03. Getting Set Up With PowerShell/0306 PowerShell IDEs.MP4 14.7 MB
03. Getting Set Up With PowerShell/0307 PowerShell Profiles.MP4 8.3 MB
03. Getting Set Up With PowerShell/0308 Creating A PowerShell Profile.MP4 12.3 MB
04. Learning PowerShell Commands/0401 Cmdlets.MP4 13.3 MB
04. Learning PowerShell Commands/0402 Get-Help - Part 1.MP4 5.6 MB

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【文档书籍】 [ TutGator.com ] The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

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【影视】 Machine Learning Deep Learning Model Deployment

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[TutsNode.com] - Machine Learning Deep Learning Model Deployment/07 Deploying models on browser using JavaScript and TensorFlow.js/040 JavaScript crash course (optional).mp4 154.2 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/02 Building, evaluating and saving a Model/006 Python NumPy Pandas Matplotlib crash course.mp4 143.4 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/02 Building, evaluating and saving a Model/007 Building and evaluating a Classification Model.mp4 117.1 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/09 MLOps and MLflow/047 Tracking Model training experiments with MLfLow.mp4 74.9 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/028 Creating and saving text classifier and tf-idf models.mp4 70.8 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/05 Deploying Deep Learning Models/020 Building and deploying PyTorch models.mp4 67.6 MB
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[TutsNode.com] - Machine Learning Deep Learning Model Deployment/04 Creating a REST API for the Machine Learning Model/014 Hosting the Machine Learning REST API on the Cloud.mp4 54.7 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/036 Serving TensorFlow models serverless.mp4 47.4 MB
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[TutsNode.com] - Machine Learning Deep Learning Model Deployment/05 Deploying Deep Learning Models/024 Creating a REST API using TensorFlow Model Server.mp4 44.4 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/030 Deploying tf-idf and text classifier models for Twitter sentiment analysis.mp4 42.2 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/033 Twitter sentiment analysis with PyTorch REST API.mp4 42.1 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/05 Deploying Deep Learning Models/022 Saving & loading TensorFlow Keras models.mp4 40.6 MB
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【压缩文件】 [ FreeCourseWeb.com ] Lynda - Learning SAP MM (Materials Management).zip

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【影视】 [ CourseBoat.com ] Udemy - Learning Olympiad Algebra

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~Get Your Files Here !/3. Inequalities/4. Holder's Inequality.mp4 235.7 MB
~Get Your Files Here !/2. Polynomials and Theory of Equations/6. Problem Solving Session.mp4 180.8 MB
~Get Your Files Here !/3. Inequalities/3. Nesbitt's Inequality.mp4 168.8 MB
~Get Your Files Here !/3. Inequalities/10. Problem Solving III.mp4 160.3 MB
~Get Your Files Here !/2. Polynomials and Theory of Equations/5. Cubic Equations.mp4 138.7 MB
~Get Your Files Here !/2. Polynomials and Theory of Equations/2. Quadratic Equations.mp4 136.4 MB
~Get Your Files Here !/3. Inequalities/5. Rearrangement and Chebyshev's Inequality.mp4 129.2 MB
~Get Your Files Here !/2. Polynomials and Theory of Equations/1. Introduction to Polynomials.mp4 129.1 MB
~Get Your Files Here !/2. Polynomials and Theory of Equations/9. Proof of Perron's Criterion.mp4 121.4 MB
~Get Your Files Here !/2. Polynomials and Theory of Equations/8. Irreducible Polynomials.mp4 108.6 MB
~Get Your Files Here !/3. Inequalities/7. Majorization and Muirhead Inequality.mp4 105.8 MB
~Get Your Files Here !/3. Inequalities/2. Weighted AM-GM & Cauchy-Schwarz.mp4 96.7 MB
~Get Your Files Here !/2. Polynomials and Theory of Equations/4. Symmetric and Homogeneous Polynomials.mp4 93.1 MB
~Get Your Files Here !/2. Polynomials and Theory of Equations/3. Problem Solving Session.mp4 92.6 MB
~Get Your Files Here !/3. Inequalities/9. Problem Solving II.mp4 85.9 MB
~Get Your Files Here !/3. Inequalities/8. Problem Solving I.mp4 80.8 MB
~Get Your Files Here !/3. Inequalities/6. Schur's, Jensen and Minkowski's Inequalities.mp4 76.4 MB
~Get Your Files Here !/1. Intoduction to the Course/1. Welcome to the Olympiad Algebra Course.mp4 73.8 MB
~Get Your Files Here !/3. Inequalities/1. AM-GM Inequality.mp4 53.4 MB

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【影视】 [FreeCoursesOnline.Me] [Coursera] Applied Machine Learning in Python - [FCO]

收录时间:2021-03-10 文档个数:76 文档大小:924.2 MB 最近下载:2025-05-13 人气:1700 磁力链接

003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4 48.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
004.Module 4 Supervised Machine Learning - Part 2/029. Neural Networks.mp4 43.5 MB
002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 41.9 MB
002.Module 2 Supervised Machine Learning/016. Kernelized Support Vector Machines.mp4 41.0 MB
002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
002.Module 2 Supervised Machine Learning/018. Decision Trees.mp4 39.7 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4 36.2 MB
004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.mp4 34.5 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.mp4 31.5 MB
005.Optional Unsupervised Machine Learning/034. Clustering.mp4 28.5 MB
004.Module 4 Supervised Machine Learning - Part 2/027. Random Forests.mp4 27.7 MB
002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4 23.8 MB
002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4 23.6 MB
004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4 22.4 MB
003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4 21.8 MB

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