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【影视】 [ CourseMega.com ] Udemy - Recommender System With Machine Learning and Statistics

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~Get Your Files Here !/4. Hands-on Collaborative Filtering Recommender System With Fast.ai/3. How to Build and Train Collaborative Filtering Model With Fast.ai.mp4 94.7 MB
~Get Your Files Here !/4. Hands-on Collaborative Filtering Recommender System With Fast.ai/4. How to Visualize Latent Features Do Popular Items Have a Higher Bias.mp4 89.3 MB
~Get Your Files Here !/3. The Hypotheses Behind the Main Solutions of Recommender Systems/1. The Hypotheses Behind the Main Solutions of Recommender Systems.mp4 69.7 MB
~Get Your Files Here !/4. Hands-on Collaborative Filtering Recommender System With Fast.ai/1. A Quick Eda on the Grocery Dataset.mp4 51.6 MB
~Get Your Files Here !/5. Build a Hybrid Recommender System With Popularity and Association Rule/5. How to Evaluate Results With Selected Criteria.mp4 44.8 MB
~Get Your Files Here !/5. Build a Hybrid Recommender System With Popularity and Association Rule/1. What Is the Definition of Popularity and What Is Support.mp4 40.0 MB
~Get Your Files Here !/5. Build a Hybrid Recommender System With Popularity and Association Rule/2. How to Encode an Item-Order Matrix.mp4 32.7 MB
~Get Your Files Here !/1. Why Business Needs Recommender Systems/1. Why Business Needs Recommender Systems.mp4 27.0 MB
~Get Your Files Here !/5. Build a Hybrid Recommender System With Popularity and Association Rule/3. What Are Confidence and Lift.mp4 25.0 MB
~Get Your Files Here !/4. Hands-on Collaborative Filtering Recommender System With Fast.ai/2. What Is Collaborative Filtering in Depth.mp4 11.5 MB
~Get Your Files Here !/5. Build a Hybrid Recommender System With Popularity and Association Rule/4. What Is Association Rule and How to Apply Apriori Algorithm.mp4 11.0 MB
~Get Your Files Here !/6. End-Of-Course Conclusion/1. End-Of-Course Conclusion.mp4 6.9 MB
~Get Your Files Here !/2. Roadmap of the Course/1. Roadmap of the Course.mp4 3.7 MB
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【影视】 [FreeCourseSite.com] Udemy - Python for Data Science & Machine Learning from A-Z

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19. PCA/7. PCA - Image Compression.mp4 262.1 MB
16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
15. Decision Trees/13. Pruning.mp4 118.5 MB
17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
18. K-means/3. Representing Clusters.mp4 114.9 MB
3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
9. Machine Learning/1. Introduction To Machine Learning.mp4 103.5 MB

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【影视】 [GigaCourse.Com] Udemy - Machine Learning Regression Masterclass in Python

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04 - REGRESSION KEY PERFORMANCE INDICATORS/004 Bias Variance Tradeoff.mp4 199.4 MB
01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/005 ML vs. DL vs. AI.mp4 132.1 MB
03 - SIMPLE LINEAR REGRESSION/008 Project #1 - Test Model.mp4 120.5 MB
09 - LASSO AND RIDGE REGRESSION/005 Ridge and Lasso in Practice.mp4 115.1 MB
04 - REGRESSION KEY PERFORMANCE INDICATORS/002 Regression Metric Part 1.mp4 114.9 MB
06 - MULTIPLE LINEAR REGRESSION/005 Project #1 - Model Training and Evaluation.mp4 105.2 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/012 Evaluate the Model.mp4 104.5 MB
03 - SIMPLE LINEAR REGRESSION/002 Simple Linear Regression Intuition.mp4 102.6 MB
06 - MULTIPLE LINEAR REGRESSION/012 Project #2 - Retraining Model.mp4 102.2 MB
06 - MULTIPLE LINEAR REGRESSION/006 Project #1 - Model Results Evaluation.mp4 90.1 MB
03 - SIMPLE LINEAR REGRESSION/004 Project #1 - Overview.mp4 85.3 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/014 Model Improvement with more features.mp4 84.3 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/009 Project - Visualize Dataset.mp4 83.3 MB
07 - LOGISTIC REGRESSION/007 Project #2 - Training Testing.mp4 79.9 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/011 Train the Model.mp4 79.6 MB
06 - MULTIPLE LINEAR REGRESSION/009 Project #2 - Data Visualization.mp4 77.1 MB
07 - LOGISTIC REGRESSION/008 Model Testing Visualization.mp4 68.5 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/013 Multiple Linear regression.mp4 67.4 MB
05 - POLYNOMIAL REGRESSION/004 Poly Regression - Visualize Data.mp4 66.7 MB
01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/001 Course Welcome Message.mp4 63.4 MB

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【影视】 PLURALSIGHT.GETTING.STARTED.WITH.MACHINE.LEARNING.USING.MATLAB.BOOKWARE-TUTOR[ettv]

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15 - Implementing a MATLAB Live Script[ettv].mp4 27.6 MB
18 - Importing Data Using readmatrix().mp4 26.1 MB
13 - Implementing a MATLAB Script.mp4 23.8 MB
24 - Implementing a Data Science Workflow.mp4 22.9 MB
08 - Understanding the User Interface.mp4 16.5 MB
09 - Understanding Variables and Classes.mp4 16.1 MB
20 - Importing Data Using the Import Tool.mp4 14.9 MB
10 - Introducing the Script Editor.mp4 11.3 MB
19 - Importing Data Using readtable().mp4 11.2 MB
14 - Introducing the Live Script Editor.mp4 7.3 MB
23 - Understanding the Data Science Workflow.mp4 5.8 MB
01 - Course Overview.mp4 4.4 MB
03 - Introducing MATLAB.mp4 4.3 MB
04 - Installing MATLAB.mp4 3.4 MB
25 - Further Learning and Next Steps.mp4 2.8 MB
05 - Understanding MATLAB Licensing.mp4 2.5 MB
26 - Course Summary.mp4 2.0 MB
21 - Summary.mp4 1.9 MB
16 - Summary.mp4 1.4 MB
11 - Summary.mp4 1.3 MB

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【影视】 [ FreeCourseWeb.com ] Udemy - Machine Learning Model Deployment with Flask, React & NodeJS

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~Get Your Files Here !/4. Frontend - React Basics/5. Build Our First Form.mp4 82.0 MB
~Get Your Files Here !/4. Frontend - React Basics/6. Fetching Data.mp4 69.5 MB
~Get Your Files Here !/9. Other Deployment Options/3. Deploy Frontend with AWS.mp4 56.5 MB
~Get Your Files Here !/6. Section 6 - Building The Backend/4. Integrating The DS Model - Part 2.mp4 55.4 MB
~Get Your Files Here !/9. Other Deployment Options/1. Deploy Frontend with Github Pages.mp4 52.9 MB
~Get Your Files Here !/4. Frontend - React Basics/3. Using Data Props.mp4 50.5 MB
~Get Your Files Here !/3. Frontend - Getting Started/6. React Project Walkthrough.mp4 49.7 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 49.3 MB
~Get Your Files Here !/8. Build Our Frontend/4. Form Improvements + Adding Styles.mp4 46.4 MB
~Get Your Files Here !/2. Web Theory/5. Extra - Bootstrap.mp4 44.8 MB
~Get Your Files Here !/6. Section 6 - Building The Backend/5. Debugging + Testing.mp4 43.8 MB
~Get Your Files Here !/9. Other Deployment Options/2. Deploy Frontend with Netlify.mp4 41.5 MB
~Get Your Files Here !/5. Building The Backend/5. DS Model Building.mp4 41.4 MB
~Get Your Files Here !/8. Build Our Frontend/2. Building Our Form.mp4 39.9 MB
~Get Your Files Here !/7. Section 7 - Deploy The Application/6. Heroku Push.mp4 39.8 MB
~Get Your Files Here !/5. Building The Backend/7. Extra - Neural Network Weights Example.mp4 38.3 MB
~Get Your Files Here !/6. Section 6 - Building The Backend/3. Integrating The DS Model - Part 1.mp4 35.4 MB
~Get Your Files Here !/7. Section 7 - Deploy The Application/5. Git Install.mp4 35.0 MB
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【影视】 [Udemy] Machine Learning in Python with 5 Machine Learning Projects (04.2021)

收录时间:2022-01-12 文档个数:821 文档大小:22.4 GB 最近下载:2025-05-14 人气:2773 磁力链接

12. Tree Based Models/2. Attribute selection method- Gini Index and Entropy.mp4 229.3 MB
11. Introduction to KNN, SVM, Naive Bayes/6. Introduction to Naive Bayes.mp4 183.2 MB
13. Boosting Models/2. Intuition for Adaboost and Gradient Boosting.mp4 160.7 MB
10. Logistic Regression/8. Using ROC-AUC score to analyze the performance of model.mp4 154.8 MB
10. Logistic Regression/6. How to analyze performance of a classification model.mp4 153.3 MB
13. Boosting Models/7. Introudction to Ensembling techniques.mp4 140.5 MB
20. Predicting Health Expense of Customers/8. Applying Linear Regression Model.mp4 134.3 MB
2. Python for Data Analysis/17. Time Complexity.mp4 126.0 MB
2. Python for Data Analysis/21. Insertion and Selection Sort.mp4 125.8 MB
1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4 125.7 MB
18. Time Series Forecasting/8. Handling Missing Values.mp4 122.1 MB
2. Python for Data Analysis/22. Merge Sort.mp4 121.0 MB
17. Recommendation Engines/19. Introduction to SVD.mp4 117.5 MB
2. Python for Data Analysis/19. Binary Search.mp4 114.9 MB
9. Linear Regression/6. Analyzing the performance of Regression models.mp4 114.3 MB
11. Introduction to KNN, SVM, Naive Bayes/1. Introduction to Support Vector machines.mp4 113.4 MB
9. Linear Regression/9. Applying real time prediction on our model.mp4 112.8 MB
9. Linear Regression/7. R2 score and adjuted R2 score intuition.mp4 112.2 MB
10. Logistic Regression/1. Introduction to Logistic Regression.mp4 111.6 MB
5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4 111.4 MB

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