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[CourseClub.Me] PacktPub - Data Science Model Deployments and Cloud Computing on GCP

  • Chapter 9 Vertex AI - Machine Learning Framework/007. Lab - Model Deployment Flow Using Python SDK.mp4 63.2 MB
  • Chapter 7 Data Science Models with Google App Engine/008. Lab - Final Solution Deployment Using Workflow and App Engine.mp4 63.0 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/003. Lab - Custom Model Training Using Web Console.mp4 59.7 MB
  • Chapter 8 Dataproc Serverless PySpark/007. Lab - Airflow with Serverless PySpark.mp4 55.6 MB
  • Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/002. Lab - Deploy Python Application Using Cloud Storage Triggers.mp4 54.8 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/005. Lab - Run and Ship Applications Using the Container Registry.mp4 54.6 MB
  • Chapter 7 Data Science Models with Google App Engine/003. Lab - Deploy Training Code to App Engine.mp4 53.9 MB
  • Chapter 6 Cloud Functions - Serverless and Event-Driven Applications/007. Lab – Use Case Deployment - Part-1.mp4 47.2 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/011. Lab - Continuous Deployment Using Cloud Build and GitHub.mp4 46.6 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/007. Lab - Deploy Python Application to Cloud Run.mp4 46.1 MB
  • Chapter 5 Google App Engine - For Serverless Applications/008. Lab - Implement Caching Mechanism in Python Application - Part 1.mp4 45.8 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/004. Lab - Custom Model Training Using SDK and Model Registries.mp4 43.5 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/010. Lab - Code Walkthrough Using Kubeflow and Python.mp4 42.3 MB
  • Chapter 3 Get Started with Google Cloud/003. Get Comfortable with Basics of gcloud CLI.mp4 40.1 MB
  • Chapter 4 Cloud Run - Serverless and Containerized Applications/010. Lab - Python Application Deployment Using Cloud Build.mp4 40.0 MB
  • Chapter 7 Data Science Models with Google App Engine/006. Lab - Data Validation Using App Engine.mp4 39.9 MB
  • Chapter 3 Get Started with Google Cloud/004. gsutil and Bash Command Basics.mp4 39.0 MB
  • Chapter 5 Google App Engine - For Serverless Applications/012. Lab - Scalability and Instance Types in App Engine.mp4 38.7 MB
  • Chapter 9 Vertex AI - Machine Learning Framework/013. Lab - Add Model Evaluation Step in Kubeflow before Deployment.mp4 37.7 MB
  • Chapter 8 Dataproc Serverless PySpark/004. Lab - Develop and Submit PySpark Job.mp4 37.0 MB
[磁力链接] 添加时间:2023-12-20 大小:1.8 GB 最近下载:2025-10-05 热度:1942

Udemy - R for Data Science- Learn Data Manipulation With R

  • 10. Data Transformation in R/3. Filtering Rows with Filter Function.mp4 207.7 MB
  • 10. Data Transformation in R/6. Grouped Summaries with Summarize Function.mp4 187.5 MB
  • 8. Data Frames/3. Manipulating Values in DF.mp4 176.2 MB
  • 3. Data Management in R/3. Graphs and Charts.mp4 170.5 MB
  • 9. Factors/2. Manipulating Categorical Data with Forcats.mp4 161.6 MB
  • 10. Data Transformation in R/4. Arranging Rows with Arrange Function.mp4 152.6 MB
  • 8. Data Frames/5. Tibbles in R.mp4 106.0 MB
  • 10. Data Transformation in R/1. Introduction to Data Transformation.mp4 92.3 MB
  • 6. Arrays/2. Subsections of an Array.mp4 89.9 MB
  • 8. Data Frames/1. Introduction to Data Frames.mp4 87.3 MB
  • 10. Data Transformation in R/5. Adding New Variables with Mutate Function.mp4 78.2 MB
  • 10. Data Transformation in R/2. Select Columns with Select Function.mp4 75.9 MB
  • 7. Matrices/3. Calculating With Matrices.mp4 75.8 MB
  • 3. Data Management in R/2. Data Manipulation.mp4 69.5 MB
  • 7. Matrices/1. Matrices.mp4 63.2 MB
  • 7. Matrices/2. Naming Matrix Row and Columns.mp4 61.5 MB
  • 4. Examining and Managing Data Structures in R/7. Subsetting Vectors.mp4 60.4 MB
  • 5. Lists/1. Lists.mp4 55.9 MB
  • 8. Data Frames/4. Adding and Removing Variables.mp4 51.1 MB
  • 4. Examining and Managing Data Structures in R/1. Vector Basics.mp4 51.1 MB
[磁力链接] 添加时间:2021-03-20 大小:2.5 GB 最近下载:2025-10-05 热度:1187

[FreeCourseSite.com] Udemy - Python for Data Science & Machine Learning from A-Z

  • 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
[磁力链接] 添加时间:2022-01-13 大小:7.9 GB 最近下载:2025-10-05 热度:1191

[FreeCourseSite.com] Udemy - Python A-Z™ Python For Data Science With Real Exercises!

  • 6. Advanced Visualization/10. BONUS Building Dashboards in Python.mp4 111.1 MB
  • 6. Advanced Visualization/11. BONUS Styling Tips.mp4 95.1 MB
  • 5. Data Frames/6. Filtering a Data Frame.mp4 92.4 MB
  • 5. Data Frames/4. Subsetting dataframes in Pandas.mp4 75.7 MB
  • 4. Matrices/3. Building Your First Matrix.mp4 74.6 MB
  • 4. Matrices/4. Dictionaries in Python.mp4 73.5 MB
  • 6. Advanced Visualization/12. BONUS Finishing Touches.mp4 69.0 MB
  • 6. Advanced Visualization/4. Stacked histograms in Python.mp4 60.3 MB
  • 5. Data Frames/10. Keyword Arguments in Python (advanced tutorial).mp4 59.6 MB
  • 4. Matrices/9. Advanced Function Design.mp4 59.5 MB
  • 7. Homework Solutions/9. THANK YOU bonus video.mp4 54.8 MB
  • 6. Advanced Visualization/8. Creating a Facet Grid.mp4 54.3 MB
  • 7. Homework Solutions/4. Homework Solution Section 4 Basketball Free Throws.mp4 54.0 MB
  • 6. Advanced Visualization/6. Working with Subplots().mp4 52.3 MB
  • 4. Matrices/8. Creating Your First Function.mp4 50.9 MB
  • 5. Data Frames/8. Introduction to Seaborn.mp4 49.1 MB
  • 5. Data Frames/7. Using .at() and .iat() (advanced tutorial).mp4 46.0 MB
  • 5. Data Frames/5. Basic operations with a Data Frame.mp4 44.5 MB
  • 4. Matrices/10. Basketball Insights.mp4 43.5 MB
  • 5. Data Frames/9. Visualizing With Seaborn Part 1.mp4 42.9 MB
[磁力链接] 添加时间:2021-03-09 大小:2.4 GB 最近下载:2025-10-05 热度:1468

[Tutorialsplanet.NET] Udemy - Python for Data Science & Machine Learning from A-Z

  • 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
[磁力链接] 添加时间:2022-04-10 大小:7.9 GB 最近下载:2025-10-05 热度:295

[ FreeCourseWeb.com ] Udemy - Alteryx - Data Science with Alteryx.zip

  • [ FreeCourseWeb.com ] Udemy - Alteryx - Data Science with Alteryx.zip 453.2 MB
[磁力链接] 添加时间:2021-03-07 大小:453.2 MB 最近下载:2025-10-05 热度:343

[ TutSala.com ] Udemy - The Data Science Course 2022 - Complete Data Science Bootcamp

  • ~Get Your Files Here !/1. An Introduction Foundations of Data Science.mp4 858.9 MB
  • ~Get Your Files Here !/3. Coding.mp4 687.4 MB
  • ~Get Your Files Here !/5. Statistics.mp4 507.9 MB
  • ~Get Your Files Here !/2. Data Sourcing Foundations of Data Science.mp4 409.7 MB
  • ~Get Your Files Here !/4. Mathematics.mp4 253.5 MB
  • ~Get Your Files Here !/1. An Introduction Foundations of Data Science.srt 148.2 kB
  • ~Get Your Files Here !/3. Coding.srt 132.4 kB
  • ~Get Your Files Here !/5. Statistics.srt 107.7 kB
  • ~Get Your Files Here !/2. Data Sourcing Foundations of Data Science.srt 80.7 kB
  • ~Get Your Files Here !/4. Mathematics.srt 65.1 kB
  • ~Get Your Files Here !/Bonus Resources.txt 357 Bytes
  • Get Bonus Downloads Here.url 177 Bytes
[磁力链接] 添加时间:2022-01-11 大小:2.7 GB 最近下载:2025-10-05 热度:5744

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
  • 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
[磁力链接] 添加时间:2021-03-16 大小:6.0 GB 最近下载:2025-10-05 热度:2392

Udemy - Microsoft Power BI - The Complete Masterclass - Master Power BI Desktop, Cloud & Mobile and advanced analytics with DAX (also Data Science)! [2020 EDITION] - Nov 2020.rar

  • Udemy - Microsoft Power BI - The Complete Masterclass - Master Power BI Desktop, Cloud & Mobile and advanced analytics with DAX (also Data Science)! [2020 EDITION] - Nov 2020.rar 4.3 GB
[磁力链接] 添加时间:2024-08-15 大小:4.3 GB 最近下载:2025-10-05 热度:277

Data Science using Machine Learning Algorithm with Big Data

  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/2. Case Study 2 with Scikit Learn Library.mp4 431.8 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/11. Plotly Library Tutorial.mp4 334.1 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/1. Case Study 1 with Scikit Learn Library.mp4 291.6 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/2. Python Programming Foundation/20. Python Crash Course.mp4 266.8 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/2. Numpy Library Tutorial 1.mp4 228.7 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/3. Matplotlib Library Tutorial 1.mp4 214.1 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/2. Pandas Tutorial 1.mp4 198.7 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/5. Pandas Tutorial 4.mp4 160.0 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/3. Pandas Tutorial 2.mp4 149.5 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/7. Machine Learning/2. What is Machine Learning.mp4 133.0 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/9. Seaborn Library Tutorial 2.mp4 119.3 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/4. Numpy Library Tutorial 3.mp4 114.1 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/8. Data Science/1. Collection of Data and Tools to Collect Data.mp4 113.3 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/4. Pandas Tutorial 3.mp4 96.2 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/2. Logistic Regression.mp4 92.5 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/2. How to choose the RIGHT Charts & Graph for your Data.mp4 91.2 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/5. KNN Algorithm.mp4 91.1 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/8. Seaborn Library Tutorial 1.mp4 86.1 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/3. Numpy Library Tutorial 2.mp4 82.9 MB
  • [TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/8. Data Science/2. Mega Mart Example for Increase Sale.mp4 78.4 MB
[磁力链接] 添加时间:2021-05-03 大小:5.6 GB 最近下载:2025-10-05 热度:3872

[CourseClub.Me] PacktPub - Data science and Data preparation with KNIME [Video]

  • 01.02-reading_multiple_csv_files_in_bulk_into_knime_update.mkv 407.6 MB
  • 02.01-reading_multiple_csv_files_in_bulk_into_knime.mkv 318.8 MB
  • 01.10-webscraping_with_knime-financial_data.mkv 268.6 MB
  • 01.14-hyperparameter_optimization_for_machine_learning_models_using_loops_in_knime.mkv 261.8 MB
  • 01.03-reading_multiple_excel_files_in_bulk_into_knime_update.mkv 249.7 MB
  • 01.15-feature_selection_in_knime.mkv 239.7 MB
  • 02.02-read_multiple_excel_sheets_in_bulk_into_knime.mkv 238.0 MB
  • 01.09-webscraping_with_knime.mkv 220.6 MB
  • 01.08-loops_recursion_in_knime.mkv 210.9 MB
  • 01.07-loops-how_to_split_data_into_multiple_output_files.mkv 201.2 MB
  • 02.03-loops_how_to_split_data_into_multiple_output_files.mkv 194.2 MB
  • 01.16-machine_learning_prediction_process.mkv 163.4 MB
  • 01.13-hyperparameter_optimization_in_knime-data_preparation.mkv 150.6 MB
  • 01.12-python_in_knime-further_examples.mkv 145.2 MB
  • 01.11-scripting-how_to_use_python_in_knime.mkv 138.4 MB
  • 02.04-python_in_knime-further_examples.mkv 127.7 MB
  • 01.04-a_great_helper_node_for_time_series_analysis_in_knime.mkv 126.0 MB
  • 01.05-examples_of_how_to_use_loops_in_knime.mkv 91.9 MB
  • 01.06-more_on_loops_in_knime-several_ways_to_get_the_same_result.mkv 85.0 MB
  • 01.01-course_introduction.mkv 12.6 MB
[磁力链接] 添加时间:2022-02-13 大小:3.9 GB 最近下载:2025-10-05 热度:1501

Agresti A. Statistics. The Art and Science...from Data 5ed 2023

  • Agresti A. Statistics. The Art and Science...from Data 5ed 2023.pdf 114.5 MB
  • Agresti A. Statistics. The Art and Science...from Data 4ed 2017.pdf 44.3 MB
  • Agresti A. Statistics. The Art and Science...from Data 3ed 2012.pdf 41.5 MB
  • Data_Sets_3ed 2012.rar 62.8 kB
[磁力链接] 添加时间:2024-02-01 大小:200.4 MB 最近下载:2025-10-05 热度:1193

Python for Data Science and Machine Learning Bootcamp

  • 01 Course Introduction/003 Python-Data-Science-and-Machine-Learning-Bootcamp.zip 139.4 MB
  • 01 Course Introduction/001 Introduction to the Course-es.srt 6.3 kB
  • 01 Course Introduction/001 Introduction to the Course-it.srt 6.3 kB
  • 01 Course Introduction/001 Introduction to the Course-ja.srt 1.6 kB
  • 01 Course Introduction/001 Introduction to the Course-pt.srt 6.2 kB
  • 01 Course Introduction/001 Introduction to the Course-tr.srt 5.6 kB
  • 01 Course Introduction/001 Introduction to the Course.mp4 45.1 MB
  • 01 Course Introduction/002 Course Help and Welcome-en.srt 1.2 kB
  • 01 Course Introduction/002 Course Help and Welcome-es.srt 1.2 kB
  • 01 Course Introduction/002 Course Help and Welcome-it.srt 1.1 kB
  • 01 Course Introduction/002 Course Help and Welcome-ja.srt 184 Bytes
  • 01 Course Introduction/002 Course Help and Welcome-pt.srt 1.1 kB
  • 01 Course Introduction/002 Course Help and Welcome-tr.srt 1.0 kB
  • 01 Course Introduction/002 Course Help and Welcome.mp4 23.2 MB
  • 01 Course Introduction/003 Course FAQs.html 6.3 kB
  • 01 Course Introduction/001 Introduction to the Course-en.srt 6.0 kB
  • 02 Environment Set-Up/004 Environment Set-up and Installation-en.srt 15.2 kB
  • 02 Environment Set-Up/004 Environment Set-up and Installation-es.srt 15.3 kB
  • 02 Environment Set-Up/004 Environment Set-up and Installation-it.srt 15.4 kB
  • 02 Environment Set-Up/004 Environment Set-up and Installation-ja.srt 4.7 kB
[磁力链接] 添加时间:2018-06-26 大小:4.5 GB 最近下载:2025-10-05 热度:461

[GigaCourse.Com] Udemy - The Data Science Course Complete Data Science Bootcamp

  • 16 - Statistics - Practical Example Descriptive Statistics/001 Practical Example Descriptive Statistics.mp4 157.5 MB
  • 11 - Probability - Bayesian Inference/012 A Practical Example of Bayesian Inference.mp4 145.9 MB
  • 12 - Probability - Distributions/015 A Practical Example of Probability Distributions.mp4 144.8 MB
  • 05 - The Field of Data Science - Popular Data Science Techniques/001 Techniques for Working with Traditional Data.mp4 112.6 MB
  • 40 - Part 6 Mathematics/011 Why is Linear Algebra Useful.mp4 92.7 MB
  • 35 - Advanced Statistical Methods - Practical Example Linear Regression/001 Practical Example Linear Regression (Part 1).mp4 88.8 MB
  • 20 - Statistics - Hypothesis Testing/001 Null vs Alternative Hypothesis.mp4 87.6 MB
  • 64 - Appendix - Working with Text Files in Python/018 Importing Data from .json Files.mp4 85.9 MB
  • 05 - The Field of Data Science - Popular Data Science Techniques/010 Types of Machine Learning.mp4 84.5 MB
  • 05 - The Field of Data Science - Popular Data Science Techniques/007 Techniques for Working with Traditional Methods.mp4 79.8 MB
  • 64 - Appendix - Working with Text Files in Python/013 Importing .csv Files - Part III.mp4 78.7 MB
  • 51 - Deep Learning - Business Case Example/004 Business Case Preprocessing the Data.mp4 77.4 MB
  • 58 - Case Study - Preprocessing the 'Absenteeism_data'/011 Obtaining Dummies from a Single Feature.mp4 73.2 MB
  • 19 - Statistics - Practical Example Inferential Statistics/001 Practical Example Inferential Statistics.mp4 72.3 MB
  • 56 - Software Integration/003 Taking a Closer Look at APIs.mp4 70.3 MB
  • 55 - Appendix Deep Learning - TensorFlow 1 Business Case/004 Business Case Preprocessing.mp4 66.8 MB
  • 05 - The Field of Data Science - Popular Data Science Techniques/003 Techniques for Working with Big Data.mp4 65.1 MB
  • 55 - Appendix Deep Learning - TensorFlow 1 Business Case/001 Business Case Getting Acquainted with the Dataset.mp4 63.2 MB
  • 56 - Software Integration/002 What are Data Connectivity, APIs, and Endpoints.mp4 63.2 MB
  • 58 - Case Study - Preprocessing the 'Absenteeism_data'/016 Classifying the Various Reasons for Absence.mp4 62.1 MB
[磁力链接] 添加时间:2023-12-18 大小:9.9 GB 最近下载:2025-10-05 热度:1795

[ FreeCourseWeb.com ] Udemy - Machine Learning & Data Science Bootcamp with R & Python (07 - 2021)

  • ~Get Your Files Here !/11 Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia/001 Demo - [without voice].mp4 449.1 MB
  • ~Get Your Files Here !/07 Convolutional Neural Networks - CNN/001 How to Develop a CNN From Scratch for CIFAR-10 Photo Classification.mp4 415.1 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/002 Univariate Linear regression Part 2.mp4 298.5 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/003 Multivariate Linear Regression.mp4 222.1 MB
  • ~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/005 K-Means clustering - Code walkthrough with Theory & Practical.mp4 157.3 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/004 Logistic regression.mp4 157.1 MB
  • ~Get Your Files Here !/11 Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia/002 Demonstration with Step by step Guidance [With voice].mp4 141.8 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/001 Univariate Linear regression Part 1.mp4 141.1 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/005 Naive Bayes Classifier.mp4 130.6 MB
  • ~Get Your Files Here !/06 Implementing a ANN with R programming _ R Studio/001 Implementing a ANN with R programming _ R Studio.mp4 126.8 MB
  • ~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/001 Clustering _ Lecture Part 1.mp4 93.8 MB
  • ~Get Your Files Here !/01 Introduction/007 Classification _ Definition.mp4 88.7 MB
  • ~Get Your Files Here !/01 Introduction/003 What is Machine Learning.mp4 84.8 MB
  • ~Get Your Files Here !/02 Setting up the Environment for Machine Learning - R language and R studio/001 Installing R and R studio.mp4 79.6 MB
  • ~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/003 What is clustering in Machine Learning.mp4 73.0 MB
  • ~Get Your Files Here !/03 Setting up the Environment for Machine Learning - Python & Anaconda/001 Installing Python and Pycharm IDE.mp4 49.4 MB
  • ~Get Your Files Here !/01 Introduction/005 Steps to Solve a Data Mining & Machine Learning Problem.mp4 48.4 MB
  • ~Get Your Files Here !/01 Introduction/001 Why we need Data Mining & Machine Learning.mp4 45.3 MB
  • ~Get Your Files Here !/01 Introduction/008 Clustering _ Definition.mp4 38.9 MB
  • ~Get Your Files Here !/03 Setting up the Environment for Machine Learning - Python & Anaconda/002 Setting up the Environment _ Anaconda.mp4 38.1 MB
[磁力链接] 添加时间:2024-04-20 大小:3.0 GB 最近下载:2025-10-05 热度:1772

Curso completo de Machine Learning Data Science en Python - COMPLETO

  • 8. Regresión logística con Python/7. Estimación con el método de máxima verosimilitud.mp4 476.4 MB
  • 8. Regresión logística con Python/8. Crear un modelo logístico desde cero.mp4 461.6 MB
  • 9. Clustering y clasificación/2. ¿Qué es y para qué sirve el clustering.mp4 347.6 MB
  • 7. Regresión lineal con Python/19. Transformar las variables en relaciones no lineales.mp4 333.6 MB
  • 14. Análisis de componentes principales/3. Demostración de cómo se hace un ACP.mp4 325.2 MB
  • 10. Árboles y bosques aleatorios/5. Algoritmos para la generación de árboles de clasificación.mp4 323.2 MB
  • 11. Máquinas de Soporte Vectorial/14. Práctica de SVM reconocimiento facial a lo CSI.mp4 322.4 MB
  • 9. Clustering y clasificación/3. El concepto de distancia.mp4 320.8 MB
  • 8. Regresión logística con Python/9. Análisis exploratorio de los datos.mp4 315.2 MB
  • 9. Clustering y clasificación/17. Implementando la técnica del codo y el coeficiente de la silueta.mp4 313.1 MB
  • 10. Árboles y bosques aleatorios/4. Entropía y ganancia de Información.mp4 310.3 MB
  • 7. Regresión lineal con Python/16. Variables categóricas en una regresión lineal.mp4 298.3 MB
  • 8. Regresión logística con Python/16. Implementación de las curvas ROC en Python.mp4 296.5 MB
  • 15. Introducción a las redes neuronales y al deep learning con TensorFlow/7. La carga del dataset de imágenes.mp4 295.8 MB
  • 7. Regresión lineal con Python/5. Sumas de los cuadrados totales, de las diferencias y de la regresión.mp4 294.4 MB
  • 11. Máquinas de Soporte Vectorial/3. El problema de clasificación no óptimo.mp4 286.7 MB
  • 11. Máquinas de Soporte Vectorial/15. Práctica de SVM Clasificación de las flores de Iris.mp4 281.7 MB
  • 14. Análisis de componentes principales/6. Plotly, la librería de gráficos personalizados e interactivos.mp4 280.2 MB
  • 9. Clustering y clasificación/10. Un clustering completo por donde cortamos el dendrograma.mp4 275.9 MB
  • 9. Clustering y clasificación/6. Uniendo datos manualmente.mp4 265.8 MB
[磁力链接] 添加时间:2021-03-21 大小:28.0 GB 最近下载:2025-10-05 热度:1325

O'Reilly - Data Science at the Command Line

  • part00.mp4 411.1 MB
[磁力链接] 添加时间:2017-02-09 大小:411.1 MB 最近下载:2025-10-05 热度:1832

giga-course.-com-udemy-complete-machine-learning-data-science-bootcamp-2023

  • 9 - Scikitlearn Creating Machine Learning Models/114 - NEW Choosing The Right Model For Your Data.mp4 456.4 MB
  • 5 - Data Science Environment Setup/40 - Windows Environment Setup 2.mp4 437.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/137 - NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 430.1 MB
  • 16 - Career Advice Extra Bits/268 - CWD Git Github.mp4 379.5 MB
  • 9 - Scikitlearn Creating Machine Learning Models/104 - Typical scikitlearn Workflow.mp4 352.2 MB
  • 9 - Scikitlearn Creating Machine Learning Models/105 - Optional Debugging Warnings In Jupyter.mp4 337.7 MB
  • 16 - Career Advice Extra Bits/262 - What If I Dont Have Enough Experience.mp4 327.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/239 - Training Your Deep Neural Network.mp4 311.7 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/181 - Feature Engineering.mp4 305.0 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/241 - Make And Transform Predictions.mp4 292.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/182 - Turning Data Into Numbers.mp4 278.7 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 - Turning Data Into Batches 2.mp4 278.7 MB
  • 5 - Data Science Environment Setup/37 - Mac Environment Setup.mp4 274.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/147 - Putting It All Together.mp4 273.8 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/192 - Preproccessing Our Data.mp4 271.4 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/194 - Feature Importance.mp4 266.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/244 - Visualizing And Evaluate Model Predictions 2.mp4 266.0 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/179 - Exploring Our Data.mp4 263.6 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/160 - Finding Patterns 3.mp4 260.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/248 - Making Predictions On Test Images.mp4 257.0 MB
[磁力链接] 添加时间:2023-12-30 大小:51.8 GB 最近下载:2025-10-05 热度:2093

[ WebToolTip.com ] Data Science for Beginners by Dr Preethiya

  • ~Get Your Files Here !/2 - NumPy & Pandas/1 -NumPy.mp4 172.9 MB
  • ~Get Your Files Here !/3 - Data Science Process/2 -Data Wrangling.mp4 135.9 MB
  • ~Get Your Files Here !/2 - NumPy & Pandas/2 -Pandas Series and DataFrames.mp4 135.5 MB
  • ~Get Your Files Here !/1 - Introduction of Data and Data Science/1 -Introduction to Data, Data science.mp4 123.7 MB
  • ~Get Your Files Here !/3 - Data Science Process/3 -Data Transformation.mp4 71.8 MB
  • ~Get Your Files Here !/1 - Introduction of Data and Data Science/3 -Descriptive Statistics.mp4 65.9 MB
  • ~Get Your Files Here !/1 - Introduction of Data and Data Science/2 -Sampling.mp4 59.3 MB
  • ~Get Your Files Here !/3 - Data Science Process/1 -Data Cleaning and Preparation.mp4 55.4 MB
  • ~Get Your Files Here !/3 - Data Science Process/2 -Data Wrangling.pptx 247.6 kB
  • Get Bonus Downloads Here.url 180 Bytes
  • ~Get Your Files Here !/Bonus Resources.txt 70 Bytes
[磁力链接] 添加时间:2025-06-12 大小:820.5 MB 最近下载:2025-10-05 热度:371

[DMC.RIP] [Skillbox] Основы математики для Data Science (2020)

  • [DMC.RIP] 3.Аналитика и ML. Функции одной переменной, их свойства и графики/[DMC.RIP] 3.4 Элементарные функции и их свойства.mp4 129.4 MB
  • [DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.2 Задача аппроксимации как система линейных уравнений.mp4 121.4 MB
  • [DMC.RIP] 9.ML. Вектора и Матрицы. Градиент/9.3 Скалярное произведение векторов и линейная модель.mp4 101.2 MB
  • [DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.3 Представление СЛАУ в виде матричного уравнения.mp4 94.8 MB
  • [DMC.RIP] 5.ML. Аппроксимация и преобразования функций/5.2 Функция потерь.mp4 90.1 MB
  • [DMC.RIP] 6.ML. Аппроксимация и производные/[DMC.RIP] 6.6 Минимум MSE и техники вычисления производных (часть 2).mp4 90.1 MB
  • [DMC.RIP] 5.ML. Аппроксимация и преобразования функций/5.3 Преобразования функций. Сдвиги вправо и влево.mp4 88.8 MB
  • [DMC.RIP] 9.ML. Вектора и Матрицы. Градиент/9.5 Вектор функций и градиент.mp4 87.2 MB
  • [DMC.RIP] 7.ML. Функции нескольких переменных, их свойства и графики/7.2 Определение функции нескольких переменных.mp4 86.9 MB
  • [DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.1 Введение.mp4 86.5 MB
  • [DMC.RIP] 8.ML. Частные производные функции нескольких переменных/8.2 Задача аппроксимации функцией многих переменных.mp4 82.9 MB
  • [DMC.RIP] 11.Задача аппроксимации как матричное уравнение/11.3 Детерминант и нахождение обратных матриц (часть 1).mp4 82.5 MB
  • [DMC.RIP] 1.Аналитика и ML. Дроби и преобразования/[DMC.RIP] 1.2 Основные операции с дробями.mp4 79.8 MB
  • [DMC.RIP] 6.ML. Аппроксимация и производные/[DMC.RIP] 6.8 Сигмоида и еще несколько правил вычисления производных.mp4 79.3 MB
  • [DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.5 Переопределенные СЛАУ.mp4 74.3 MB
  • [DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.4 Решение СЛАУ с помощью sympy.mp4 69.0 MB
  • [DMC.RIP] 2.Аналитика и ML. Необходимые функции и некоторые дополнительные объекты/2.4 Логарифмы и их свойства.mp4 69.0 MB
  • [DMC.RIP] 11.Задача аппроксимации как матричное уравнение/11.4 Детерминант и нахождение обратных матриц (часть 2).mp4 68.8 MB
  • [DMC.RIP] 5.ML. Аппроксимация и преобразования функций/5.4 Преобразования функций. Растяжения и сжатия.mp4 68.3 MB
  • [DMC.RIP] 11.Задача аппроксимации как матричное уравнение/11.2 Решение задачи аппроксимации с помощью матриц.mp4 67.7 MB
[磁力链接] 添加时间:2021-03-20 大小:3.6 GB 最近下载:2025-10-05 热度:549


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