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06 - Implementing Feature Extraction/46 - Working with Geospatial Features.mp4 55.5 MB
Exercise Files.zip 31.6 MB
03 - Preparing Data for Machine Learning/18 - Reading and Exploring the Dataset.mp4 17.1 MB
06 - Implementing Feature Extraction/44 - Extracting Text from Images Using OCR.mp4 15.6 MB
06 - Implementing Feature Extraction/43 - Detecting Keypoints and Descriptors to Perform Image Matching.mp4 15.2 MB
04 - Understanding and Implementing Feature Selection/26 - Calculating and Visualizing Correlations Using Pandas.mp4 15.1 MB
03 - Preparing Data for Machine Learning/16 - Applying Different Techniques to Handle Missing Values.mp4 14.6 MB
06 - Implementing Feature Extraction/40 - Creating Feature Vectors from Text Data.mp4 14.1 MB
04 - Understanding and Implementing Feature Selection/28 - Feature Selection Using Filter Methods.mp4 14.0 MB
03 - Preparing Data for Machine Learning/17 - Detecting and Handling Outliers.mp4 13.6 MB
04 - Understanding and Implementing Feature Selection/29 - Feature Selection Using Wrapper Methods.mp4 13.4 MB
06 - Implementing Feature Extraction/41 - Loading and Transforming Images.mp4 12.8 MB
06 - Implementing Feature Extraction/39 - Performing Normalization Using Different Techniques.mp4 12.1 MB
04 - Understanding and Implementing Feature Selection/25 - Feature Selection Using Missing Value Ratio.mp4 11.3 MB
06 - Implementing Feature Extraction/45 - Extracting Features from Dates.mp4 11.0 MB
02 - Understanding the Role of Features in Machine Learning/07 - Feature Selection, Feature Learning, and Feature Extraction.mp4 10.9 MB
04 - Understanding and Implementing Feature Selection/30 - Feature Selection Using Embedded Methods.mp4 10.7 MB
01 - Course Overview/01 - Course Overview.mp4 10.1 MB
02 - Understanding the Role of Features in Machine Learning/04 - Features and Labels.mp4 9.6 MB
06 - Implementing Feature Extraction/38 - Tokenization and Visualizing Frequency Distributions.mp4 9.2 MB

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【影视】 Pluralsight - Preparing for the Google Cloud Professional Data Engineer Exam by Google Cloud

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0. Welcome to Preparing for the Professional Data Engineer Exam/0. Introduction.mp4 56.2 MB
1. Designing Data Processing Systems/2. Designing flexible data representations.mp4 30.7 MB
4. Reliability, Policy and Security to ensure solution quality/2. Data visualization and reporting tools.mp4 28.9 MB
0. Welcome to Preparing for the Professional Data Engineer Exam/1. Understanding the Professional Data Engineer certification.mp4 26.5 MB
4. Reliability, Policy and Security to ensure solution quality/3. Designing for security and compliance.mp4 25.0 MB
1. Designing Data Processing Systems/1. Designing data processing systems.mp4 22.5 MB
1. Designing Data Processing Systems/3. Design data pipelines.mp4 21.3 MB
2. Building and Operationalizing Data Processing Systems/4. Practice Exam Questions 2.mp4 16.0 MB
4. Reliability, Policy and Security to ensure solution quality/0. Reliability, Policy, and Security.mp4 15.4 MB
3. Operationalizing Machine Learning Models/1. Deploying an ML pipeline.mp4 15.0 MB
3. Operationalizing Machine Learning Models/5. Practice Exam Questions 3.mp4 14.1 MB
1. Designing Data Processing Systems/9. Practice Exam Questions 1.mp4 14.1 MB
3. Operationalizing Machine Learning Models/10. Modeling business processes for analysis and optimization.mp4 12.6 MB
3. Operationalizing Machine Learning Models/3. ML and Unstructured Data.mp4 11.9 MB
4. Reliability, Policy and Security to ensure solution quality/1. Practice Exam Questions 4.mp4 11.1 MB
3. Operationalizing Machine Learning Models/2. Machine Learning.mp4 11.1 MB
3. Operationalizing Machine Learning Models/0. Analyzing and Modeling.mp4 11.0 MB
3. Operationalizing Machine Learning Models/15. Bigtable performance.mp4 10.1 MB
0. Welcome to Preparing for the Professional Data Engineer Exam/3. Getting Started with Google Cloud Platform and Qwiklabs.mp4 9.7 MB
2. Building and Operationalizing Data Processing Systems/0. Building data processing systems.mp4 9.7 MB