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[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:2025-08-16 热度:292

[skillbox] Основы математики для Data Science (2020)

  • 2.Аналитика и ML. Базовые математические объекты и SymPy. Необходимые функции и некоторые дополнительные объекты/2.2 Степени и их свойства.mp4 138.8 MB
  • 3.Аналитика и ML. Функции одной переменной, их свойства и графики/3.4 Элементарные функции и их свойства.mp4 129.4 MB
  • 10.ML. Линейная регрессия и системы линейных уравнений/10.2 Задача аппроксимации как система линейных уравнений.mp4 121.4 MB
  • 9.ML. Вектора и Матрицы. Градиент/9.3 Скалярное произведение векторов и линейная модель.mp4 101.2 MB
  • 10.ML. Линейная регрессия и системы линейных уравнений/10.3 Представление СЛАУ в виде матричного уравнения.mp4 94.8 MB
  • 5.ML. Аппроксимация и преобразования функций/5.2 Функция потерь.mp4 90.1 MB
  • 6.ML. Аппроксимация и производные/6.6 Минимум MSE и техники вычисления производных (часть 2).mp4 90.1 MB
  • 5.ML. Аппроксимация и преобразования функций/5.3 Преобразования функций. Сдвиги вправо и влево.mp4 88.8 MB
  • 4.ML. Интерполяция и полиномы/4.2 Полиномы и интерполяция.mp4 88.2 MB
  • 9.ML. Вектора и Матрицы. Градиент/9.5 Вектор функций и градиент.mp4 87.2 MB
  • 7.ML. Функции нескольких переменных, их свойства и графики/7.2 Определение функции нескольких переменных.mp4 86.9 MB
  • 10.ML. Линейная регрессия и системы линейных уравнений/10.1 Введение.mp4 86.5 MB
  • 8.ML. Частные производные функции нескольких переменных/8.2 Задача аппроксимации функцией многих переменных.mp4 82.9 MB
  • 11.Задача аппроксимации как матричное уравнение/11.3 Детерминант и нахождение обратных матриц (часть 1).mp4 82.5 MB
  • 1.Аналитика и ML. Базовые математические объекты и SymPy. Дроби и преобразования/1.2 Основные операции с дробями.mp4 79.8 MB
  • 6.ML. Аппроксимация и производные/6.8 Сигмоида и еще несколько правил вычисления производных.mp4 79.3 MB
  • 10.ML. Линейная регрессия и системы линейных уравнений/10.5 Переопределенные СЛАУ.mp4 74.3 MB
  • 10.ML. Линейная регрессия и системы линейных уравнений/10.4 Решение СЛАУ с помощью sympy.mp4 69.0 MB
  • 2.Аналитика и ML. Базовые математические объекты и SymPy. Необходимые функции и некоторые дополнительные объекты/2.4 Логарифмы и их свойства.mp4 69.0 MB
  • 11.Задача аппроксимации как матричное уравнение/11.4 Детерминант и нахождение обратных матриц (часть 2).mp4 68.8 MB
[磁力链接] 添加时间:2021-04-01 大小:3.8 GB 最近下载:2025-08-16 热度:9921

[ FreeCourseWeb.com ] Udemy - Data Science in R Bootcamp

  • ~Get Your Files Here !/03 Datasets and Data Types/001 Datasets and Data Types.mp4 425.7 MB
  • ~Get Your Files Here !/05 Statistical Analyses and Summaries/001 Statistical Analysis in R.mp4 298.1 MB
  • ~Get Your Files Here !/06 Hypothesis Testing/001 Hypothesis Testing.mp4 283.6 MB
  • ~Get Your Files Here !/04 Visualizing Continuous and Categorical Data/001 Visualizing Continuous and Categorical Data.mp4 260.7 MB
  • ~Get Your Files Here !/02 Vectors and Vector Arithmetic/001 Vectors and Vector Arithmetic.mp4 252.4 MB
  • ~Get Your Files Here !/07 Linear Regression/001 Linear Regression.mp4 245.1 MB
  • ~Get Your Files Here !/01 Introduction To R and R Studio/001 Introduction to me, Data Science, and R.mp4 37.1 MB
  • ~Get Your Files Here !/03 Datasets and Data Types/001 Datasets and Data Types.en.srt 69.8 kB
  • ~Get Your Files Here !/02 Vectors and Vector Arithmetic/001 Vectors and Vector Arithmetic.en.srt 69.1 kB
  • ~Get Your Files Here !/06 Hypothesis Testing/001 Hypothesis Testing.en.srt 63.2 kB
  • ~Get Your Files Here !/05 Statistical Analyses and Summaries/001 Statistical Analysis in R.en.srt 60.6 kB
  • ~Get Your Files Here !/04 Visualizing Continuous and Categorical Data/001 Visualizing Continuous and Categorical Data.en.srt 57.5 kB
  • ~Get Your Files Here !/07 Linear Regression/001 Linear Regression.en.srt 50.0 kB
  • ~Get Your Files Here !/01 Introduction To R and R Studio/001 Introduction to me, Data Science, and R.en.srt 14.0 kB
  • ~Get Your Files Here !/04 Visualizing Continuous and Categorical Data/004 Lecture 4.R 2.5 kB
  • ~Get Your Files Here !/06 Hypothesis Testing/006 Lecture 6.R 2.2 kB
  • ~Get Your Files Here !/02 Vectors and Vector Arithmetic/002 Lecture2.R 2.0 kB
  • ~Get Your Files Here !/03 Datasets and Data Types/003 Lecture3.R 1.8 kB
  • ~Get Your Files Here !/05 Statistical Analyses and Summaries/005 Lecture 5.R 1.1 kB
  • ~Get Your Files Here !/07 Linear Regression/007 Lecture 7 .R 777 Bytes
[磁力链接] 添加时间:2022-03-30 大小:1.8 GB 最近下载:2025-08-16 热度:401

[ DevCourseWeb.com ] Udemy - Machine Learning - Data Science Product Management Made Easy

  • ~Get Your Files Here !/06 - Deep Learning Intro/002 Deep Learning Coding Notebook - Case Study in Predicting Dog and Cat Images!.mp4 228.0 MB
  • ~Get Your Files Here !/04 - Algorithms Overview and Linear Regression Deep Dive/004 Linear Regression Coding Notebook - Case Study in Predicting Housing Prices.mp4 191.3 MB
  • ~Get Your Files Here !/05 - Success Metrics/001 Classification success metrics.mp4 137.3 MB
  • ~Get Your Files Here !/08 - Key Questions to Ask and Roadmap Template for your ML Product/002 Key questions to ask your team.mp4 97.9 MB
  • ~Get Your Files Here !/03 - Data Science Loop/003 Data Science Loop Specifically.mp4 68.9 MB
  • ~Get Your Files Here !/01 - Introduction/003 Main Takeway Preview!.mp4 57.1 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/005 Demographic and Psychographic Factors to Consider.mp4 54.6 MB
  • ~Get Your Files Here !/03 - Data Science Loop/005 Comparing ML and Data Analysis.mp4 45.5 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/001 UX Issues in ML.mp4 45.4 MB
  • ~Get Your Files Here !/04 - Algorithms Overview and Linear Regression Deep Dive/002 Linear Regression Overview.mp4 45.3 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/006 A Research roadmap for you ML Product.mp4 43.5 MB
  • ~Get Your Files Here !/02 - Machine Learning Basics/008 Overfitting and Underfitting.mp4 41.7 MB
  • ~Get Your Files Here !/02 - Machine Learning Basics/001 Major ML Use Cases.mp4 39.9 MB
  • ~Get Your Files Here !/03 - Data Science Loop/006 Limitations of ML.mp4 38.4 MB
  • ~Get Your Files Here !/05 - Success Metrics/002 General success metrics.mp4 35.0 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/003 Testing mockups of your ML product.mp4 33.3 MB
  • ~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/004 Testing concept diagrams of your ML Product.mp4 30.6 MB
  • ~Get Your Files Here !/02 - Machine Learning Basics/005 Unsupervised Learning.mp4 29.3 MB
  • ~Get Your Files Here !/01 - Introduction/002 When ML is not the best approach!.mp4 25.3 MB
  • ~Get Your Files Here !/08 - Key Questions to Ask and Roadmap Template for your ML Product/003 Checklist of Key Sections for you ML Product Roadmap.mp4 24.1 MB
[磁力链接] 添加时间:2022-04-08 大小:1.6 GB 最近下载:2025-08-16 热度:3104

[DesireCourse.Net] Udemy - R Programming A-Z™ R For Data Science With Real Exercises!

  • 7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis.mp4 331.4 MB
  • 7. Homework Solutions/4. Homework Solution Section 5 World Trends.mp4 229.1 MB
  • 3. Fundamentals Of R/7. Functions in R.mp4 209.5 MB
  • 4. Matrices/4. Building Your First Matrix.mp4 183.0 MB
  • 4. Matrices/12. Basketball Insights.mp4 180.7 MB
  • 4. Matrices/8. Visualizing With Matplot().mp4 180.3 MB
  • 7. Homework Solutions/5. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 171.3 MB
  • 6. Advanced Visualization With GGPlot2/14. Perfecting By Adding Themes.mp4 160.3 MB
  • 7. Homework Solutions/6. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 160.0 MB
  • 6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 158.0 MB
  • 5. Data Frames/4. Exploring your dataset.mp4 156.2 MB
  • 5. Data Frames/10. Building Dataframes.mp4 154.6 MB
  • 6. Advanced Visualization With GGPlot2/11. Statistical Transformations.mp4 150.0 MB
  • 5. Data Frames/6. Basic operations with a Data Frame.mp4 146.6 MB
  • 1. Hit The Ground Running/5. Exercise - Get Excited!.mp4 142.5 MB
  • 4. Matrices/9. Subsetting.mp4 142.3 MB
  • 5. Data Frames/7. Filtering a Data Frame.mp4 135.6 MB
  • 6. Advanced Visualization With GGPlot2/12. Using Facets.mp4 134.5 MB
  • 4. Matrices/11. Creating Your First Function.mp4 130.6 MB
  • 3. Fundamentals Of R/6. The power of vectorized operations.mp4 128.8 MB
[磁力链接] 添加时间:2021-03-09 大小:7.3 GB 最近下载:2025-08-16 热度:6456

[ CourseMega.com ] Julia Programming Language - Next Gen Data Science and Machine Learning.zip

  • [ CourseMega.com ] Julia Programming Language - Next Gen Data Science and Machine Learning.zip 1.7 GB
[磁力链接] 添加时间:2021-05-16 大小:1.7 GB 最近下载:2025-08-16 热度:2352

Beginning with Machine Learning & Data Science in Python

  • Beginning with Machine Learning & Data Science in Python.zip 470.7 MB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2021-05-17 大小:470.7 MB 最近下载:2025-08-16 热度:1958

Applied Data Science with Python Specialization

  • Applied Data Science with Python Specialization.zip 3.6 GB
  • [TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
  • TutsNode.com.txt 63 Bytes
[磁力链接] 添加时间:2021-03-17 大小:3.6 GB 最近下载:2025-08-16 热度:1879

[ FreeCourseWeb.com ] Oreilly - Data Science and Machine Learning Series- Naive Bayes Classifier Advanced Concepts.zip

  • [ FreeCourseWeb.com ] Oreilly - Data Science and Machine Learning Series- Naive Bayes Classifier Advanced Concepts.zip 288.3 MB
[磁力链接] 添加时间:2021-05-13 大小:288.3 MB 最近下载:2025-08-16 热度:2518

Coursera - Data Science Statistics and Machine Learning Specialization 2024-5

  • 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
[磁力链接] 添加时间:2024-12-04 大小:4.3 GB 最近下载:2025-08-16 热度:338

[FreeCourseSite.com] Udemy - Complete 2022 Data Science & Machine Learning Bootcamp

  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 240.6 MB
  • 12 - Serving a Tensorflow Model through a Website/014 Calculating the Centre of Mass and Shifting the Image.mp4 220.7 MB
  • 05 - Predict House Prices with Multivariable Linear Regression/031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 210.7 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/012 Model Evaluation and the Confusion Matrix.mp4 202.6 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4 199.4 MB
  • 03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4 195.9 MB
  • 12 - Serving a Tensorflow Model through a Website/007 Loading a Tensorflow.js Model and Starting your own Server.mp4 183.9 MB
  • 05 - Predict House Prices with Multivariable Linear Regression/014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 183.7 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/010 Use the Model to Make Predictions.mp4 182.3 MB
  • 11 - Use Tensorflow to Classify Handwritten Digits/012 Different Model Architectures Experimenting with Dropout.mp4 182.3 MB
  • 12 - Serving a Tensorflow Model through a Website/009 Styling an HTML Canvas.mp4 181.1 MB
  • 12 - Serving a Tensorflow Model through a Website/010 Drawing on an HTML Canvas.mp4 167.0 MB
  • 12 - Serving a Tensorflow Model through a Website/016 Adding the Game Logic.mp4 165.9 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 159.9 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4 159.4 MB
  • 08 - Test and Evaluate a Naive Bayes Classifier Part 3/006 Visualising the Decision Boundary.mp4 156.7 MB
  • 12 - Serving a Tensorflow Model through a Website/013 Resizing and Adding Padding to Images.mp4 155.0 MB
  • 08 - Test and Evaluate a Naive Bayes Classifier Part 3/011 A Naive Bayes Implementation using SciKit Learn.mp4 152.8 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 152.3 MB
  • 03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation.mp4 144.8 MB
[磁力链接] 添加时间:2024-04-09 大小:13.5 GB 最近下载:2025-08-16 热度:4094

[FreeCourseSite.com] Udemy - Complete Data Science,Machine Learning,DL,NLP Bootcamp

  • 27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/011 Simple Linear Regression Practical.mp4 909.9 MB
  • 46 - Dockers For Beginners/009 9-Dockers-Compose.mp4 828.8 MB
  • 62 - Transformers/004 Self Attention Layer Working.mp4 774.0 MB
  • 48 - End To End Machine Learning Project With AWS,Azure Deployment/001 End To End ML Project With Deployment-Github And Code Set Up.mp4 704.0 MB
  • 48 - End To End Machine Learning Project With AWS,Azure Deployment/003 Discussing Project Problem Statement,EDA And Model Training.mp4 676.4 MB
  • 48 - End To End Machine Learning Project With AWS,Azure Deployment/002 Implementing Project Structure, Logging And Exception Handling.mp4 659.4 MB
  • 50 - MLFlow Dagshub and BentoML-Complete ML Project Lifecycle/001 Getting Started With MLOPS With MLFlow And Dagshub With Project.mp4 652.7 MB
  • 29 - Steps By Step Project Implementation With LifeCycle OF ML Project/007 End To End ML Project Implementation.mp4 651.8 MB
  • 27 - Understanding Complete Linear Regression Indepth Intuition And Practicals/012 Multiple Linear regression.mp4 615.5 MB
  • 62 - Transformers/012 Decoder Transformer- Masked Multi Head Attention Working.mp4 608.2 MB
  • 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/010 Implementing Data Ingestions Component.mp4 587.2 MB
  • 38 - Xgboost Machine Learning Algorithms/001 Xgboost Classification Indepth Intuit.mp4 580.5 MB
  • 13 - Data Analysis With Python/002 Pandas- DataFrame And Series.mp4 580.1 MB
  • 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/014 Data Transformation Implementation.mp4 557.1 MB
  • 32 - Naive Bayes Theorem/001 Understanding Baye's Theorem.mp4 547.2 MB
  • 13 - Data Analysis With Python/001 Numpy In Python.mp4 546.0 MB
  • 29 - Steps By Step Project Implementation With LifeCycle OF ML Project/002 Multiple Linear Regression Projects With Assumptions.mp4 545.2 MB
  • 25 - Exploratory Data Analysis and Feature Engineering/003 Data Cleaning With Google Playstore Dataset.mp4 513.5 MB
  • 49 - End To End MLOPS Projects With ETL Pipelines- Building Network Security System/012 Implementing Data Validation-Part 2.mp4 493.7 MB
  • 23 - Inferential Statistics/015 Partioning Of Variance In Annova.mp4 491.8 MB
[磁力链接] 添加时间:2025-01-30 大小:75.8 GB 最近下载:2025-08-16 热度:3759

Python - Полный Курс по Python, Django, Data Science и ML (2023)

  • 02 Установка и настройка редактора Visual Studio Code/02.05 Выполнения кода в Visual Studio Code.mp4 278.8 MB
  • 44 JSON/44.03 Практика - JSON.mp4 276.2 MB
  • 45 Работа с файлами/45.03 Практика - Работа с путями к файлам и директориям.mp4 271.2 MB
  • 06 Форматирование кода и PEP8/06.02 Форматирование кода Python и PEP8.mp4 210.7 MB
  • 45 Работа с файлами/45.08 РЕШЕНИЕ - Запись и чтение файлов.mp4 210.1 MB
  • 05 Встроенные функции в Python/05.04 Практика - Встроенная функция input и методы строк.mp4 205.3 MB
  • 18 Наборы/18.05 Методы наборов.mp4 186.2 MB
  • 61 Django - Создание сервиса API/61.10 Создание нового курса с помощью POST.mp4 175.3 MB
  • 50 Работа с регулярными выражениями/50.05 РЕШЕНИЕ - Проверка пароля.mp4 174.7 MB
  • 62 Django - Итоги по проекту/62.01 Подведение итогов по приложению API.mp4 171.9 MB
  • 14 Магические методы/14.02 Практика - Введение в магические методы.mp4 167.5 MB
  • 60 Django - Роутинг между страницами/60.10 Подведение итогов по приложению Shop.mp4 164.1 MB
  • 41 Магические методы в классах/41.03 Практика - Создание подклассов.mp4 162.2 MB
  • 39 Сокращенный цикл for in/39.01 Сокращенный цикл for in.mp4 160.6 MB
  • 62 Django - Итоги по проекту/62.02 Рефакторинг приложения API.mp4 156.2 MB
  • 62 Django - Итоги по проекту/62.03 Перенос магазина на главную страницу.mp4 155.1 MB
  • 74 Модель Машинного Обучения для реальных данных/74.05 Кодирование данных перед созданием модели.mp4 153.3 MB
  • 59 Django - Создание шаблонов/59.06 Добавление общего навигационного блока.mp4 152.5 MB
  • 73 Scikit-learn - Машинное обучение/73.11 Экспорт модели в .dot файл для визуализации процесса принятия решений.mp4 147.3 MB
  • 05 Встроенные функции в Python/05.03 Практика - Встроенные функции print и dir.mp4 146.6 MB
[磁力链接] 添加时间:2023-12-19 大小:25.4 GB 最近下载:2025-08-16 热度:25882

Pluralsight Path. Data Science with Microsoft Azure (2021)

  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/5. Demo - Azure Databricks with Azure Data Lake Storage Gen2.mp4 63.4 MB
  • F3. Deploying and Managing Models in Microsoft Azure (Jared Rhodes, 2020)/3. Using Continuous Integration and Continuous Deployment/4. Creating Pipelines.mp4 51.2 MB
  • E5. Building Features for Computer Vision in Microsoft Azure (David Tucker, 2020)/exercise.7z 45.9 MB
  • D2. Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer (Neeraj Kumar, 2019)/4. Using the Kusto Query Language (KQL)/6. Demo - Working with KQL - Timeseries.mp4 44.0 MB
  • F1. Developing Models in Microsoft Azure (Saravanan Dhandapani, 2020)/3. Import and Prepare Data for Modeling/2. Data Preprocessing with Microsoft AzureML.mp4 39.4 MB
  • D2. Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer (Neeraj Kumar, 2019)/4. Using the Kusto Query Language (KQL)/5. Demo - Working with KQL - Basic.mp4 39.0 MB
  • F3. Deploying and Managing Models in Microsoft Azure (Jared Rhodes, 2020)/2. Deploying a Machine Learning Model/5. Creating and Deploying.mp4 38.8 MB
  • E5. Building Features for Computer Vision in Microsoft Azure (David Tucker, 2020)/3. Utilizing the SIFT and HOG Algorithms for Feature Detection/4. Extracting and Matching Features with SIFT.mp4 37.1 MB
  • D2. Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer (Neeraj Kumar, 2019)/5. Data Ingestion for ADX/6. Demo - Data Ingestion Using EventHubs and .Net Custom Code.mp4 36.5 MB
  • B2. Sourcing Data in Microsoft Azure (Jared Rhodes, 2019)/3. Extracting and Loading Data into an Azure Workflow/6. HD Insights Demo.mp4 34.4 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/4. Model Evaluation and Summarizing Results/6. Demo - Create Model and Perform Predictive Analytics Part3.mp4 34.1 MB
  • F1. Developing Models in Microsoft Azure (Saravanan Dhandapani, 2020)/5. Tuning Hyperparameters and AutoML/3. Automated Machine Learning Experiment Using Python SDK.mp4 33.4 MB
  • F1. Developing Models in Microsoft Azure (Saravanan Dhandapani, 2020)/3. Import and Prepare Data for Modeling/1. Creating and Registering Microsoft AzureML Datastore.mp4 31.3 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/5. Reviewing Results with Stakeholders/4. Demo - Communicating Insights using MatPlotLib.mp4 29.9 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/4. Demo - Configuring and Working with Azure Databricks.mp4 29.1 MB
  • E5. Building Features for Computer Vision in Microsoft Azure (David Tucker, 2020)/3. Utilizing the SIFT and HOG Algorithms for Feature Detection/6. Extracting and Matching Features with HOG.mp4 28.5 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/6. Demo - Performing Exploratory Data Analysis using Azure Databricks.mp4 27.0 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/4. Model Evaluation and Summarizing Results/5. Demo - Create Model and Perform Predictive Analytics Part 2.mp4 25.7 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/7. Demo - Working with Streaming Data Using Azure Databricks and Event Hubs.mp4 24.7 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/5. Reviewing Results with Stakeholders/3. Demo - Communicating Insights using Power BI.mp4 24.5 MB
[磁力链接] 添加时间:2024-01-06 大小:3.4 GB 最近下载:2025-08-16 热度:2978

Udemy - Fundamentals of Data Science and Machine Learning

  • 6. Data Engineering.mp4 269.2 MB
  • 2. Data Science.mp4 228.8 MB
  • 4. Deep Learning.mp4 183.5 MB
  • 3. Artificial Intelligence.mp4 177.5 MB
  • 5. Machine Learning.mp4 151.2 MB
  • 7. Data Analytics.mp4 113.4 MB
  • 8. Business Intelligence.mp4 90.4 MB
  • 10. Cluster Analysis.mp4 88.3 MB
  • 9. Data Visualization.mp4 65.9 MB
  • 1. Introduction.mp4 62.1 MB
  • Torrent_downloaded_from_Demonoid.is_.txt 54 Bytes
[磁力链接] 添加时间:2023-12-18 大小:1.4 GB 最近下载:2025-08-16 热度:14272

365 Data Science - Deep Learning with TensorFlow [CoursesGhar]

  • 13. Business case/4. Preprocessing the data.mp4 82.6 MB
  • 14. Conclusion/3. An overview of CNNs.mp4 75.4 MB
  • 6. Deep nets overview/3. Really understand deep nets.mp4 61.0 MB
  • 13. Business case/10. Homework.mp4 60.3 MB
  • 13. Business case/5. Creating the batching class.mp4 59.4 MB
  • 2. Neural networks Intro/11. One-parameter gradient descent.mp4 59.1 MB
  • 12. Deeper example/9. Commenting on the results.mp4 55.3 MB
  • 6. Deep nets overview/7. Backpropagation.mp4 55.3 MB
  • 13. Business case/1. The dataset.mp4 55.2 MB
  • 2. Neural networks Intro/12. N-parameter gradient descent.mp4 52.5 MB
  • 1. Introduction/2. What does the course cover.mp4 51.6 MB
  • 14. Conclusion/1. Summary.mp4 50.9 MB
  • 4. Minimal example/4. Training the model.mp4 48.8 MB
  • 13. Business case/6. Outlining the model.mp4 48.5 MB
  • 12. Deeper example/4. MNIST - Outlining the model.mp4 47.2 MB
  • 13. Business case/3. Balancing a dataset.mp4 47.1 MB
  • 5. Introduction to TensorFlow/1. TensorFlow outline.mp4 46.8 MB
  • 2. Neural networks Intro/1. Introduction to neural networks.mp4 44.6 MB
  • 2. Neural networks Intro/6. The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
  • 14. Conclusion/5. Non-NN approaches.mp4 43.9 MB
[磁力链接] 添加时间:2022-04-08 大小:2.7 GB 最近下载:2025-08-16 热度:1746

[ FreeCourseWeb.com ] Udemy - Data Science- Project Management Methodology - CRISP-DM.zip

  • [ FreeCourseWeb.com ] Udemy - Data Science- Project Management Methodology - CRISP-DM.zip 2.4 GB
[磁力链接] 添加时间:2021-04-01 大小:2.4 GB 最近下载:2025-08-16 热度:977

[ DevCourseWeb.com ] Coursera - Practical Data Science on the AWS Cloud Specialization

  • ~Get Your Files Here !/automl-datasets-ml-models/05_Resources/01_sagemaker-studio-ui-resource/01__CD3O_Course_Feedback_V01_Final.mp4 141.6 MB
  • ~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/04_Resources/01_learning-the-aws-cloud/01__CD3O_Course_Feedback_V01_Final.mp4 141.6 MB
  • ~Get Your Files Here !/ml-pipelines-bert/04_Resources/01_learning-the-aws-cloud/01__CD3O_Course_Feedback_V01_Final.mp4 141.6 MB
  • ~Get Your Files Here !/ml-pipelines-bert/03_week-3-deploy-end-to-end-machine-learning-pipelines/02_machine-learning-pipelines-with-amazon-sagemaker/01_machine-learning-pipelines-with-amazon-sagemaker-pipelines.mp4 40.0 MB
  • ~Get Your Files Here !/automl-datasets-ml-models/01_week-1-explore-the-use-case-and-analyze-the-dataset/01_a-conversation-with-andrew-ng-antje-barth-shelbee-eigenbrode-and-sireesha/01_specialization-overview.mp4 35.7 MB
  • ~Get Your Files Here !/automl-datasets-ml-models/03_week-3-use-automated-machine-learning-to-train-a-text-classifier/01_automated-machine-learning/07_amazon-sagemaker-autopilot-demo.mp4 31.6 MB
  • ~Get Your Files Here !/automl-datasets-ml-models/03_week-3-use-automated-machine-learning-to-train-a-text-classifier/01_automated-machine-learning/03_automl-workflow.mp4 29.7 MB
  • ~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/02_week-2-advanced-model-deployment-and-monitoring/01_model-deployment-and-integration/04_amazon-sagemaker-hosting-real-time-inference.mp4 28.1 MB
  • ~Get Your Files Here !/ml-pipelines-bert/03_week-3-deploy-end-to-end-machine-learning-pipelines/01_machine-learning-operations-mlops-and-pipelines/02_machine-learning-operations-mlops-overview.mp4 26.7 MB
  • ~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/01_week-1-advanced-model-training-tuning-and-evaluation/02_advanced-model-training-and-tuning/03_tune-a-bert-based-text-classifier.mp4 23.8 MB
  • ~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/01_week-1-advanced-model-training-tuning-and-evaluation/01_a-conversation-with-andrew-ng-antje-barth-shelbee-eigenbrode-and-sireesha/01_course-3-overview.mp4 23.5 MB
  • ~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/02_week-2-advanced-model-deployment-and-monitoring/02_model-integration-and-monitoring/04_week-2-summary.mp4 22.7 MB
  • ~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/03_week-3-data-labeling-and-human-in-the-loop-pipelines/01_data-labeling/03_data-labeling-with-amazon-sagemaker-ground-truth.mp4 21.9 MB
  • ~Get Your Files Here !/ml-pipelines-bert/03_week-3-deploy-end-to-end-machine-learning-pipelines/02_machine-learning-pipelines-with-amazon-sagemaker/04_week-3-summary.mp4 20.9 MB
  • ~Get Your Files Here !/automl-datasets-ml-models/02_week-2-data-bias-and-feature-importance/01_statistical-bias-and-feature-importance/08_feature-importance-shap.mp4 20.3 MB
  • ~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/02_week-2-advanced-model-deployment-and-monitoring/01_model-deployment-and-integration/03_model-deployment-strategies.mp4 19.7 MB
  • ~Get Your Files Here !/ml-pipelines-bert/03_week-3-deploy-end-to-end-machine-learning-pipelines/01_machine-learning-operations-mlops-and-pipelines/03_creating-machine-learning-pipelines.mp4 19.6 MB
  • ~Get Your Files Here !/automl-datasets-ml-models/03_week-3-use-automated-machine-learning-to-train-a-text-classifier/01_automated-machine-learning/09_week-3-summary.mp4 19.6 MB
  • ~Get Your Files Here !/automl-datasets-ml-models/04_week-4-built-in-algorithms/01_built-in-algorithms/01_introduction.mp4 19.4 MB
  • ~Get Your Files Here !/automl-datasets-ml-models/04_week-4-built-in-algorithms/01_built-in-algorithms/03_use-cases-and-algorithms.mp4 19.0 MB
[磁力链接] 添加时间:2024-03-14 大小:1.6 GB 最近下载:2025-08-16 热度:1939

Data Science Real World Projects in Python

  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/29. How to Cross Validate your model.mp4 129.5 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/7. Perform Label Encoding on data.mp4 113.9 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/6. Handle Categorical Data & Feature Encoding.mp4 89.6 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/4. Project 3-- Predict Stock Prices using Time Series Analysis/9. Apply Auto-Arima on data.mp4 86.3 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/21. Intuition Behind Linear Regression- Part 3.mp4 85.8 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/4. Extract Derived Features from Data.mp4 84.3 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/10. Intuition Behind Random Forest Part-1.mp4 81.5 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/12. Applying Random Forest on Data & Automate predictions.mp4 78.6 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/16. Intuition Behind Decision Tree- Part 4.mp4 77.1 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/3. Understanding Data & data-preprocessing.mp4 73.8 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/28. Intuition Behind Cross Validation- Part 2.mp4 70.6 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/4. Project 3-- Predict Stock Prices using Time Series Analysis/4. Data preparation for Time Series Forecasting.mp4 70.1 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/14. Intuition Behind Decision Tree- Part 2.mp4 66.2 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/17. Intuition Behind Decision Tree- Part 5.mp4 65.2 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/15. Intuition Behind Decision Tree- Part 3.mp4 63.6 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/3. Project 2----- Predict Password Strength using Natural Language Processing/6. Apply TF-IDF on data.mp4 63.5 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/26. Play with multiple Algorithms & dumping your model.mp4 63.2 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/3. Project 2----- Predict Password Strength using Natural Language Processing/7. Intuition behind Logistic Regression --part 1.mp4 60.8 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/3. Project 2----- Predict Password Strength using Natural Language Processing/3. Exploring your data.mp4 59.9 MB
  • [TutsNode.com] - Data Science Real World Projects in Python/2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning/8. How to handle Outliers in Data.mp4 56.2 MB
[磁力链接] 添加时间:2021-03-29 大小:2.5 GB 最近下载:2025-08-16 热度:4735

Machine Learning and Data Science Hands-on with Python and R

  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/107. Tensorflow-Playground.mp4 143.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/14. Getting started with Anaconda.mp4 142.8 MB
  • Machine Learning and Data Science Hands-on with Python and R/10. Natural Language Processing (NLP) Tutorials/6. Replacing Contractions.mp4 141.6 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/108. Average of Quarter Denationalization.mp4 133.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/55. Creating a Graph for Kmeans Clustering.mp4 132.8 MB
  • Machine Learning and Data Science Hands-on with Python and R/3. Machine Learning Project #1 - Shipping and Time Estimation/8. Assigning a Training Set.mp4 131.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/54. Example of Kmeans Dataset.mp4 128.6 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/126. More on Rstudio in Market Analysis.mp4 128.5 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/85. R Type Model.mp4 127.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/3. Checking the Function Argument.mp4 127.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/79. Numeric Hosing Data.mp4 126.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/3. Machine Learning Project #1 - Shipping and Time Estimation/13. Normalization and Discretization.mp4 125.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/117. Example of Dataset Boosting in Gradient Continues.mp4 118.7 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/58. Grid.mp4 116.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/19. Arrays.mp4 115.7 MB
  • Machine Learning and Data Science Hands-on with Python and R/13. BIP - Business Intelligence Publisher using Siebel/8. Showing Report Views on Application.mp4 115.4 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/52. Pairplot.mp4 115.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/23. Universal Functions.mp4 114.9 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/101. Forecasting Using Stock Price.mp4 114.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/7. Machine Learning Project #5 - Fraud Detection in Credit Payments/10. VRS.mp4 112.7 MB
[磁力链接] 添加时间:2024-01-07 大小:32.4 GB 最近下载:2025-08-16 热度:2231


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