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【压缩文件】 [FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2023

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[FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2023.part1.rar 10.7 GB
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【压缩文件】 [ CourseMega.com ] PluralSight - Implementing a Data Management Strategy for an ASP.NET Core Microservices Architecture

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~Get Your Files Here !/exercise/03/demos/code/after-cosmosdb.zip 47.0 MB
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~Get Your Files Here !/2. Data Management Architecture with Microservices/9. Understanding the Sample P.mp4 43.1 MB
~Get Your Files Here !/exercise/03/demos/code/before.zip 42.0 MB
~Get Your Files Here !/3. Data Management within Microservices/6. Implementing Azure Cache for Redis.mp4 35.7 MB
~Get Your Files Here !/2. Data Management Architecture with Microservices/8. Configuring the Sample Pro.mp4 27.0 MB
~Get Your Files Here !/3. Data Management within Microservices/4. Using the Cosmos DB with EF Core.mp4 22.0 MB
~Get Your Files Here !/4. Data Consistency across Microservices/4. Implementing the Unit of Work Patter.mp4 19.2 MB
~Get Your Files Here !/3. Data Management within Microservices/3. Storing NoSQL Data with Azure Cosmos .mp4 17.7 MB
~Get Your Files Here !/4. Data Consistency across Microservices/5. Publishing Events with the Event Sou.mp4 14.7 MB
~Get Your Files Here !/3. Data Management within Microservices/2. Database Mapping Using Entity Framewo.mp4 14.0 MB
~Get Your Files Here !/4. Data Consistency across Microservices/2. Using Integration Events for Eventua.mp4 13.1 MB
~Get Your Files Here !/3. Data Management within Microservices/1. Relational Data Options in Azure.mp4 10.2 MB
~Get Your Files Here !/3. Data Management within Microservices/7. Azure Storage for Unstructured Data.mp4 10.0 MB
~Get Your Files Here !/2. Data Management Architecture with Microservices/2. Data Considerations in Mic.mp4 8.2 MB
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~Get Your Files Here !/2. Data Management Architecture with Microservices/4. Eventual Consistency.mp4 7.3 MB
~Get Your Files Here !/exercise/02/data-management-architecture-with-microservices-slides.pdf 7.2 MB
~Get Your Files Here !/3. Data Management within Microservices/5. Distributed Cache as a Data Store.mp4 7.1 MB
~Get Your Files Here !/4. Data Consistency across Microservices/3. The Event Sourcing Pattern.mp4 6.8 MB

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【压缩文件】 [DesireCourse.Com] Udemy - Data Science with R - Beginners

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[DesireCourse.Com] Udemy - Data Science with R - Beginners.zip 1.8 GB
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【压缩文件】 [ FreeCourseWeb.com ] Packt - Mastering Big Data Analytics with PySpark.zip

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【压缩文件】 MiniTool Power Data Recovery Personal + Business v11.0 + Fix.zip

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【压缩文件】 4plebs-org-data-dump-2019-01

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pol.csv.tar.gz 18.1 GB
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.____padding_file/3 2.0 MB
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.____padding_file/9 1.8 MB
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【压缩文件】 data.rar

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data.rar 1.6 GB

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D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/exercise.7z 86.7 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/02. Load Data and Join Tables.mp4 38.3 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/exercise.7z 34.6 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/2. Excel - Working with Duplicates and Missing Values.mp4 31.6 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/5. Loading Data Using Azure Data Factory Pipelines.mp4 28.5 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/2. Selecting Data Granularity.mp4 28.3 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/3. Demo - Classify with Logistic Regression.mp4 26.3 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/09. Calculating Cumulative Sum and Ranks on Partitioned Data.mp4 24.6 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/7. Building and Training a Regression Model in Python.mp4 24.4 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/05. Convert CSV Data to Table Format.mp4 23.0 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/exercise.7z 22.8 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/6. Building Training and Evaluating a Classification Model.mp4 21.1 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/6. Building and Training a Regression Model for Price Prediction.mp4 20.8 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/08. Transform Data Using a Spark Activity.mp4 20.7 MB
C2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/6. Loading Data from S3 Buckets to the SQL Data Warehouse.mp4 20.3 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/5. Demo - Breast Cancer at a Glance.mp4 20.2 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/03. Descriptive Statistics for Univariate Data.mp4 20.1 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/05. Loading Data from GCP Cloud Storage Buckets to the Azure SQL Data Warehous.mp4 19.9 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/5. Building the Model/7. Deploying the Model.mp4 19.8 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/04. Join Tables Using Power Query.mp4 19.7 MB

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【压缩文件】 [CourserHub.com] Coursera - Data Science Statistics and Machine Learning Specialization

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data-science-project/01_overview-understanding-the-problem-and-getting-the-data/01_welcome/06_syllabus_Coursera-SwiftKey.zip 574.7 MB
data-science-project/01_overview-understanding-the-problem-and-getting-the-data/02_task-0-understanding-the-problem/02_task-0-understanding-the-problem_Coursera-SwiftKey.zip 574.7 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/01_week-4-new-videos/02_glms.mp4 80.3 MB
data-products/04_r-packages/01_r-packages/04_building-r-packages-demo.mp4 71.9 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/04_hodgepodge/02_hodgepodge.mp4 70.2 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/03_model-selection-part-ii.mp4 65.8 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/01_multivariable-regression-examples-part-i.mp4 65.8 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/02_multivariable-regression-examples-part-ii.mp4 64.3 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/04_07-03-asymptotics-and-confidence-intervals.mp4 49.5 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/04_model-selection-part-iii.mp4 47.3 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/02_logistic-regression-part-i.mp4 46.8 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/02_poisson-regression-part-i.mp4 46.7 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/03_adjustment/02_adjustment-examples.mp4 44.6 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/03_poisson-regression-part-ii.mp4 41.1 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/01_multivariable-regression/02_multivariable-regression-part-i.mp4 37.0 MB
statistical-inference/04_week-4-power-bootstrapping-permutation-tests/02_module-12-multiple-comparisons/01_12-01-multiple-comparisons.mp4 36.9 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/02_module-6-distributions/03_06-02-normal-distribution.mp4 36.4 MB
regression-models/01_week-1-least-squares-and-linear-regression/04_regression-to-the-mean/02_regression-to-the-mean.mp4 33.2 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/04_residuals-again/03_residuals-and-diagnostics-part-ii.mp4 32.1 MB
regression-models/02_week-2-linear-regression-multivariable-regression/02_residuals/03_residuals-coding-example.mp4 31.9 MB

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【压缩文件】 MiniTool Power Data Recovery Business Technician v11.0 WinPE ISO (x64) {CracksHash}

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Data Analytics Projects for Finance.zip

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【压缩文件】 [FreeCoursesOnline.Me] Coursera - Databases for Data Scientists Specialization

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2. The Structured Query Language (SQL).zip 1.2 GB
3. Advanced Topics and Future Trends in Database Technologies.zip 973.7 MB
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【压缩文件】 MiniTool Power Data Recovery Business Technician v11.4 WinPE (x64) ISO

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【压缩文件】 Building Your First Data Science Project in Microsoft Azure

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building-first-data-science-project-microsoft-azure.zip 277.2 MB
05. Implementing Responsible ML/03. Demo- Analize Fairness in Our Diabetes Model.mp4 32.6 MB
05. Implementing Responsible ML/02. Demo- Diabetes Model Interpretability.mp4 32.1 MB
04. Preparing a Data Science Model for Deployment/02. Demo- Using Curated Environments for Training.mp4 25.2 MB
04. Preparing a Data Science Model for Deployment/03. Demo- Using System-managed Environments for Training.mp4 25.1 MB
03. Starting a Data Science Project/06. Demo- Setting up the Local Environment Part2.mp4 19.6 MB
02. Meet Azure Machine Learning/01. Introducing Microsoft Azure Machine Learning.mp4 15.1 MB
03. Starting a Data Science Project/08. Demo- Using Compute Instances.mp4 14.9 MB
04. Preparing a Data Science Model for Deployment/01. Planning the Next Steps- Training and Deployment.mp4 13.3 MB
04. Preparing a Data Science Model for Deployment/04. Demo- Using User-managed Environments for Training.mp4 13.3 MB
03. Starting a Data Science Project/04. A Preview on Development Environments.mp4 11.8 MB
03. Starting a Data Science Project/05. Demo- Setting up the Local Environment Part1.mp4 11.3 MB
03. Starting a Data Science Project/03. Demo- Create an ML Workspace.mp4 10.7 MB
03. Starting a Data Science Project/07. Demo- Configuring a DSVM Environment.mp4 10.2 MB
05. Implementing Responsible ML/01. What Do We Mean by Responsible ML-.mp4 9.3 MB
03. Starting a Data Science Project/01. A Walkthrough of Model Development.mp4 7.8 MB
05. Implementing Responsible ML/04. Key Takeaways and Tips.mp4 5.4 MB
02. Meet Azure Machine Learning/03. Getting the Best out of This Course.mp4 4.3 MB
03. Starting a Data Science Project/02. What Is an ML Workspace-.mp4 3.7 MB
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【压缩文件】 Raw Data

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