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[FreeCourseSite.com] Udemy - Data Science Bootcamp with 5 Data Science Projects

  • 01 - Python Fundamentals/001 Why should you learn Python_.mp4 135.4 MB
  • 02 - Mastering Python Data Structures/015 Time Complexity.mp4 130.7 MB
  • 02 - Mastering Python Data Structures/019 Insertion and Selection Sort.mp4 129.8 MB
  • 02 - Mastering Python Data Structures/020 Merge Sort.mp4 125.0 MB
  • 02 - Mastering Python Data Structures/017 Binary Search.mp4 119.3 MB
  • 05 - Data Cleaning/022 Data Cleaning on Naukri Dataset.mp4 109.5 MB
  • 10 - Data Exploration/007 Exploring the Dabl Library.mp4 109.5 MB
  • 02 - Mastering Python Data Structures/016 Linear Search.mp4 104.2 MB
  • 01 - Python Fundamentals/002 Installing Python and Jupyter Notebook.mp4 100.0 MB
  • 08 - Statistics and Probability/024 Confidence Intervals.mp4 99.6 MB
  • 14 - Capstone Project 4_ Global Cost of Living/004 Extracting Latitude and Longitude from the L.mp4 88.0 MB
  • 05 - Data Cleaning/006 Imputing missing values in a real-time scenario.mp4 86.6 MB
  • 10 - Data Exploration/008 Exploring the Sweetviz Library.mp4 85.5 MB
  • 03 - Python Functions Deep Dive/008 Filter, Map, and Zip Functions.mp4 83.8 MB
  • 09 - Hypothesis Testing/004 P-Value and Level of Significance.mp4 82.6 MB
  • 02 - Mastering Python Data Structures/018 Bubble Sort.mp4 81.8 MB
  • 01 - Python Fundamentals/010 Arithmetic and Assignment Operators.mp4 81.8 MB
  • 02 - Mastering Python Data Structures/008 Introduction to Sets.mp4 81.3 MB
  • 05 - Data Cleaning/004 Imputing missing values with the business logic.mp4 80.7 MB
  • 08 - Statistics and Probability/008 Permutations and Combinations.mp4 80.5 MB
[磁力链接] 添加时间:2022-01-25 大小:12.6 GB 最近下载:2025-05-12 热度:545

[Tutorialsplanet.NET] 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.srt 116.8 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
  • 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
  • 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
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
[磁力链接] 添加时间:2021-04-02 大小:5.5 GB 最近下载:2025-05-22 热度:543

[Tutorialsplanet.NET] Udemy - The Data Science Course 2019 Complete Data Science Bootcamp

  • 16/1. Practical Example Descriptive Statistics.mp4 168.2 MB
  • 12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
  • 11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 152.2 MB
  • 40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.3 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
  • 10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
  • 3/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
  • 56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 117.1 MB
  • 2/7. Continuing with BI, ML, and AI.mp4 114.3 MB
  • 56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
  • 6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
  • 55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
  • 19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.6 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.1 MB
  • 13. Probability - Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
  • 35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
  • 35/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
  • 20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
[磁力链接] 添加时间:2022-01-19 大小:16.3 GB 最近下载:2025-05-17 热度:541

[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:2025-05-25 热度:540

Udemy - The Data Science Course Complete Data Science Bootcamp 2025 (12.2024)

  • 11. Probability - Bayesian Inference/12. A Practical Example of Bayesian Inference.mp4 146.0 MB
  • 12. Probability - Distributions/15. A Practical Example of Probability Distributions.mp4 145.0 MB
  • 16. Statistics - Practical Example Descriptive Statistics/01. Practical Example Descriptive Statistics.mp4 136.9 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/01. Techniques for Working with Traditional Data.mp4 112.4 MB
  • 42. Part 6 Mathematics/11. Why is Linear Algebra Useful.mp4 92.8 MB
  • 35. Advanced Statistical Methods - Practical Example Linear Regression/01. Practical Example Linear Regression (Part 1).mp4 88.9 MB
  • 03. The Field of Data Science - Connecting the Data Science Disciplines/01. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 87.6 MB
  • 06. The Field of Data Science - Popular Data Science Tools/01. Necessary Programming Languages and Software Used in Data Science.mp4 86.4 MB
  • 10. Probability - Combinatorics/11. A Practical Example of Combinatorics.mp4 84.6 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/07. Techniques for Working with Traditional Methods.mp4 79.7 MB
  • 57. Appendix Deep Learning - TensorFlow 1 Business Case/04. Business Case Preprocessing.mp4 78.0 MB
  • 53. Deep Learning - Business Case Example/04. Business Case Preprocessing the Data.mp4 77.4 MB
  • 60. Case Study - Preprocessing the 'Absenteeism_data'/11. Obtaining Dummies from a Single Feature.mp4 73.1 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/10. Types of Machine Learning.mp4 72.8 MB
  • 19. Statistics - Practical Example Inferential Statistics/01. Practical Example Inferential Statistics.mp4 72.4 MB
  • 05. The Field of Data Science - Popular Data Science Techniques/03. Techniques for Working with Big Data.mp4 65.1 MB
  • 57. Appendix Deep Learning - TensorFlow 1 Business Case/01. Business Case Getting Acquainted with the Dataset.mp4 63.2 MB
  • 58. Software Integration/02. What are Data Connectivity, APIs, and Endpoints.mp4 63.1 MB
  • 08. The Field of Data Science - Debunking Common Misconceptions/01. Debunking Common Misconceptions.mp4 61.7 MB
  • 57. Appendix Deep Learning - TensorFlow 1 Business Case/06. Creating a Data Provider.mp4 59.0 MB
[磁力链接] 添加时间:2025-04-30 大小:9.8 GB 最近下载:2025-05-31 热度:540

[FreeTutorials.Us] data-science-deep-learning-in-theano-tensorflow

  • 01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/001 Outline - what did you learn previously and what will you learn in this course.mp4 4.9 MB
  • 01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp4 6.3 MB
  • 01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp4 9.2 MB
  • 01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
  • 02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp4 6.1 MB
  • 02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
  • 03 Momentum and adaptive learning rates/007 Momentum.mp4 3.3 MB
  • 03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
  • 03 Momentum and adaptive learning rates/009 Variable and adaptive learning rates.mp4 5.3 MB
  • 03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
  • 04 Choosing Hyperparameters/011 Hyperparameter Optimization Cross-validation Grid Search and Random Search.mp4 5.8 MB
  • 04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
  • 04 Choosing Hyperparameters/013 Random Search in Code.mp4 8.3 MB
  • 05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
  • 05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
  • 06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
  • 06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
  • 07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
  • 07 GPU Speedup Homework and Other Misc Topics/019 Can Big Data be used to Speed Up Backpropagation.mp4 5.5 MB
  • 07 GPU Speedup Homework and Other Misc Topics/020 Exercises and Concepts Still to be Covered.mp4 4.7 MB
[磁力链接] 添加时间:2017-08-25 大小:514.7 MB 最近下载:2025-05-29 热度:539

[DesireCourse.Net] Udemy - Alteryx Data Science for Non-Scientists

  • 4. Beginner - Core Cleansing Tools, Data Preparation and Cleansing/6. Summarize Tool - Basic, Numeric, String, First, Last, Statistics.mp4 215.0 MB
  • 4. Beginner - Core Cleansing Tools, Data Preparation and Cleansing/2. Select Tool - All Features Explained Inc Dynamic Fields.mp4 192.0 MB
  • 4. Beginner - Core Cleansing Tools, Data Preparation and Cleansing/4. Basic Filtering - Strings, Numbers and Dates. Filter in Serial.mp4 169.2 MB
  • 2. Welcome to the Accelerator Program!/2. Input, Analysis and Output - The three parts of every analysis!.mp4 129.5 MB
  • 4. Beginner - Core Cleansing Tools, Data Preparation and Cleansing/5. Data Cleansing Tool - All options.mp4 117.3 MB
  • 3. Beginner - How to InputUpload Different Data Types/2. How to Read CSV files and the many options available.mp4 117.2 MB
  • 3. Beginner - How to InputUpload Different Data Types/1. Course Structure Moving Forward.mp4 91.1 MB
  • 2. Welcome to the Accelerator Program!/3. Help Function and Basic Filtering.mp4 90.8 MB
  • 4. Beginner - Core Cleansing Tools, Data Preparation and Cleansing/3. Sorting Tool and Comparison to Browse Tool.mp4 90.7 MB
  • 2. Welcome to the Accelerator Program!/8. Text to Columns or Rows - 2 Methods.mp4 83.6 MB
  • 3. Beginner - How to InputUpload Different Data Types/6. Import Multiple Sheets Manually or Using the Dynamic Input.mp4 79.9 MB
  • 1. Introduction - Welcome to Alteryx!!! Oh yeah!/2. A VERY Quick Demo of Alteryx.mp4 77.8 MB
  • 2. Welcome to the Accelerator Program!/4. Formulas, Sampling and Sorting.mp4 74.1 MB
  • 1. Introduction - Welcome to Alteryx!!! Oh yeah!/1. What is Alteryx.mp4 68.0 MB
  • 3. Beginner - How to InputUpload Different Data Types/4. Importing Txt Files with Tab Delimited and Fixed Width. + Dynamic Rename.mp4 59.7 MB
  • 3. Beginner - How to InputUpload Different Data Types/7. How to Import Multiple Excel Files using a Wildcard.mp4 46.0 MB
  • 2. Welcome to the Accelerator Program!/7. Unioning Data and 3 Methods to Do It.mp4 42.7 MB
  • 2. Welcome to the Accelerator Program!/5. Summarize Tool for Aggregates.mp4 41.7 MB
  • 3. Beginner - How to InputUpload Different Data Types/3. How to Upload an Access Database and all the different Options.mp4 40.6 MB
  • 2. Welcome to the Accelerator Program!/6. Find and Replace Function.mp4 38.0 MB
[磁力链接] 添加时间:2021-04-15 大小:2.0 GB 最近下载:2025-05-30 热度:535

Data Science w Pythonie. Kurs video. Przetwarzanie i analiza danych - Videopoint.pl.zip

  • Data Science w Pythonie. Kurs video. Przetwarzanie i analiza danych - Videopoint.pl.zip 1.1 GB
[磁力链接] 添加时间:2024-01-02 大小:1.1 GB 最近下载:2025-05-08 热度:535

[ DevCourseWeb.com ] Udemy - Data Science Course (2023)

  • ~Get Your Files Here !/02 - Data Science Introduction/004 Pandas Data Science Library with Python.mp4 80.0 MB
  • ~Get Your Files Here !/02 - Data Science Introduction/002 What is Data Science----------Data.mp4 78.7 MB
  • ~Get Your Files Here !/02 - Data Science Introduction/006 Matplotlib Data Science Library with Python.mp4 70.2 MB
  • ~Get Your Files Here !/02 - Data Science Introduction/005 Numpy Data Science Library with Python.mp4 57.9 MB
  • ~Get Your Files Here !/05 - Data Science Advanced Tools/003 Linear Regression Part 2.mp4 52.4 MB
  • ~Get Your Files Here !/02 - Data Science Introduction/010 Data Cleaning.mp4 43.8 MB
  • ~Get Your Files Here !/01 - Introduction/001 Downloading Anaconda and Installing Python.mp4 42.4 MB
  • ~Get Your Files Here !/02 - Data Science Introduction/007 Scipy Data Science Library with Python.mp4 40.6 MB
  • ~Get Your Files Here !/05 - Data Science Advanced Tools/002 Linear Regression Part 1.mp4 38.7 MB
  • ~Get Your Files Here !/01 - Introduction/002 Installing Anaconda and Opening Jupyter Notebook.mp4 36.9 MB
  • ~Get Your Files Here !/04 - Statistical Analysis Tools/004 Variance.mp4 36.1 MB
  • ~Get Your Files Here !/01 - Introduction/003 Anaconda Navigator.mp4 35.0 MB
  • ~Get Your Files Here !/02 - Data Science Introduction/009 Functions.mp4 35.0 MB
  • ~Get Your Files Here !/02 - Data Science Introduction/003 Data Representation.mp4 33.8 MB
  • ~Get Your Files Here !/03 - Mathematics Functions for Data Scientist/004 Gradient and the intercept.mp4 33.0 MB
  • ~Get Your Files Here !/02 - Data Science Introduction/008 Seaborn Data Science Library with Python.mp4 30.4 MB
  • ~Get Your Files Here !/01 - Introduction/004 Google Colab.mp4 28.7 MB
  • ~Get Your Files Here !/05 - Data Science Advanced Tools/005 Linear Regression Table Summary.mp4 28.5 MB
  • ~Get Your Files Here !/04 - Statistical Analysis Tools/005 Correlation.mp4 26.8 MB
  • ~Get Your Files Here !/05 - Data Science Advanced Tools/004 Linear Regression Table.mp4 26.3 MB
[磁力链接] 添加时间:2024-04-03 大小:978.2 MB 最近下载:2025-05-11 热度:535

[CourseClub.Me] Coursera - Genomic Data Science Specialization

  • genomic-tools/01_basic-unix-commands/01_welcome-to-the-course/03_vmbox-download-instructions_centos6_B.ova 3.1 GB
  • bioconductor/01_week-one/03_week-1/03_the-bioconductor-website.mp4 47.3 MB
  • bioconductor/02_week-two/01_week-2/07_genomicfeatures.mp4 46.8 MB
  • genomic-tools/01_basic-unix-commands/02_basic-unix-commands/10_basic-unix-commands-10-archiving-content.mp4 46.3 MB
  • genomic-tools/02_week-two/01_module-2/03_sequences-and-genomic-features-3-annotation.mp4 45.4 MB
  • genomic-tools/02_week-two/01_module-2/11_sequences-and-genomic-features-10-bedtools-ii.mp4 45.1 MB
  • genomic-tools/01_basic-unix-commands/02_basic-unix-commands/08_basic-unix-commands-8-querying-content.mp4 45.1 MB
  • genomic-tools/04_week-four/01_module-4/06_tools-for-transcriptomics-5-cuffdiff.mp4 44.7 MB
  • genomic-tools/01_basic-unix-commands/02_basic-unix-commands/11_basic-unix-commands-11-practical-exercises-i.mp4 42.0 MB
  • genomic-tools/02_week-two/01_module-2/10_sequences-and-genomic-features-9-bedtools-i.mp4 41.9 MB
  • bioconductor/03_week-three/01_week-3/08_r-s4-classes.mp4 41.3 MB
  • genomic-tools/03_week-three/02_quiz-exam/02_module-3-exam-instructions-important_gencommand_proj3_data.tar.gz 40.8 MB
  • genomic-tools/02_week-two/01_module-2/04_sequences-and-genomic-features-4-1-alignment-i.mp4 40.0 MB
  • introduction-genomics/01_overview/02_molecular-biology/03_the-human-genome-project.mp4 39.4 MB
  • bioconductor/04_week-four/01_week-4/05_limma.mp4 39.1 MB
  • bioconductor/04_week-four/01_week-4/07_count-based-rna-seq-analysis.mp4 38.5 MB
  • bioconductor/03_week-three/01_week-3/07_biomart.mp4 38.0 MB
  • bioconductor/02_week-two/01_week-2/08_rtracklayer-data-import.mp4 37.4 MB
  • genomic-tools/02_week-two/01_module-2/06_sequences-and-genomic-features-5-recreating-sequences-features.mp4 36.9 MB
  • python-genomics/04_week-four/01_module-4/03_lecture-7-3-communicating-with-the-outside-part-3-17-42.mp4 35.2 MB
[磁力链接] 添加时间:2024-05-22 大小:7.8 GB 最近下载:2025-05-30 热度:531

[DesireCourse.Net] Udemy - Statistics for Business Analytics and Data Science A-Z™

  • 3. Central Limit Theorem/8. Hands-On CLT - Analytics Challenge.mp4 189.6 MB
  • 5. Advanced Hypothesis Testing/6. Warning about misuse and overuse of p-values.mp4 55.2 MB
  • 5. Advanced Hypothesis Testing/9. THANK YOU bonus video.mp4 54.8 MB
  • 2. Distributions/10. Homework Solution - Part 1.mp4 54.0 MB
  • 2. Distributions/11. Homework Solution - Part 2.mp4 52.4 MB
  • 5. Advanced Hypothesis Testing/3. T-Tests.mp4 51.9 MB
  • 2. Distributions/2. Updates on Udemy Reviews.mp4 51.3 MB
  • 3. Central Limit Theorem/10. Homework Solution.mp4 45.9 MB
  • 4. Hypothesis Testing Statistical Significance/6. Proportion Testing.mp4 41.6 MB
  • 5. Advanced Hypothesis Testing/5. 2-Tailed Test Exercise.mp4 40.2 MB
  • 4. Hypothesis Testing Statistical Significance/2. Hypothesis Testing - Steps.mp4 38.0 MB
  • 6. Vitaly Dolgov's Guest Section/6. Trends in Analytics - Part 2.mp4 36.0 MB
  • 5. Advanced Hypothesis Testing/1. What it means when you cannot reject the Null Hypothesis.mp4 34.9 MB
  • 4. Hypothesis Testing Statistical Significance/8. Homework Solution.mp4 33.4 MB
  • 5. Advanced Hypothesis Testing/7. Real Life Example.mp4 31.9 MB
  • 2. Distributions/4. What is a Distribution.mp4 27.6 MB
  • 4. Hypothesis Testing Statistical Significance/4. Hypothesis Testing - Rejection Region.mp4 25.9 MB
  • 3. Central Limit Theorem/7. Z-Score.mp4 25.8 MB
  • 2. Distributions/5. What is Standard Deviation.mp4 25.6 MB
  • 4. Hypothesis Testing Statistical Significance/5. Hypothesis Testing Assumptions.mp4 25.4 MB
[磁力链接] 添加时间:2024-01-03 大小:1.3 GB 最近下载:2025-03-31 热度:530

[FreeCourseSite.com] Udemy - Complete Machine Learning and Data Science Zero to Mastery

  • 5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/39. Tuning Hyperparameters.mp4 184.1 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
  • 16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
  • 9. Scikit-learn Creating Machine Learning Models/45. Putting It All Together.mp4 166.0 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/15. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4 149.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2022-01-10 大小:20.6 GB 最近下载:2025-02-25 热度:528

Coursera - Expressway to Data Science Python Programming Specialization 2022-12

  • introduction-python-functions/03_functions-with-return-values/01_what-are-return-values/01_what-are-return-values.mp4 72.4 MB
  • introduction-python-functions/01_hello-functions/02_functions-are-useful/01_why-do-we-need-functions.mp4 69.0 MB
  • introduction-python-functions/04_functions-in-functions/03_hierarchy-of-functions/01_the-design-of-hierarchy-of-functions.mp4 64.5 MB
  • introduction-python-functions/01_hello-functions/03_introduction-to-functions/01_what-are-functions.mp4 59.5 MB
  • python-packages-data-science/03_data-visualization-matplotlib/02_matplotlib-plots/01_matplotlib-plots.mp4 55.3 MB
  • python-packages-data-science/04_data-visualization-seaborn/01_introduction-to-seaborn/01_introduction-to-seaborn.mp4 52.9 MB
  • python-packages-data-science/04_data-visualization-seaborn/03_summary/01_summary.mp4 50.7 MB
  • python-packages-data-science/02_data-manipulation-numpy-and-pandas/01_numpy-introduction/01_numpy-introduction.mp4 46.4 MB
  • introduction-python-functions/04_functions-in-functions/04_recursive-functions/01_recursive-functions.mp4 45.3 MB
  • python-packages-data-science/02_data-manipulation-numpy-and-pandas/06_pandas-more/01_pandas-more.mp4 39.4 MB
  • python-packages-data-science/02_data-manipulation-numpy-and-pandas/04_numpy-in-sum/01_numpy-in-sum.mp4 36.3 MB
  • python-packages-data-science/03_data-visualization-matplotlib/01_introduction-to-matplotlib/01_introduction-to-matplotlib.mp4 32.6 MB
  • python-packages-data-science/02_data-manipulation-numpy-and-pandas/03_numpy-more/01_numpy-more.mp4 32.5 MB
  • python-packages-data-science/03_data-visualization-matplotlib/03_matplotlib-summary/01_matplotlib-summary.mp4 31.7 MB
  • introduction-python-fundamentals/04_flow-control-repetition/01_condition-based-repetitions/02_condition-based-repetition.mp4 29.8 MB
  • python-packages-data-science/01_hello-packages/04_exercise-game-2/01_exercise-game-2.mp4 29.3 MB
  • introduction-python-fundamentals/04_flow-control-repetition/02_count-based-repetitions/01_count-based-repetition.mp4 29.1 MB
  • python-packages-data-science/04_data-visualization-seaborn/02_more-seaborn/01_more-seaborn.mp4 29.0 MB
  • introduction-python-fundamentals/03_flow-control-branching/03_nested-branching/01_decision-tree.mp4 28.3 MB
  • introduction-python-fundamentals/02_variables-and-operations/01_variables-and-assignment-operation/03_types-of-variables.mp4 27.8 MB
[磁力链接] 添加时间:2024-06-23 大小:1.5 GB 最近下载:2025-05-21 热度:522

[CourseClub.Me] O`REILLY - Data Science Bookcamp, video edition

  • 113 - Chapter 21. Measuring feature importance with coefficients.mp4 97.7 MB
  • 71 - Chapter 15. Clustering texts by topic, Part 2.mp4 91.3 MB
  • 66 - Chapter 15. Vectorizing documents using scikit-learn.mp4 91.3 MB
  • 86 - Case study 5 - Predicting future friendships from social network data.mp4 84.3 MB
  • 23 - Chapter 7. Data dredging - Coming to false conclusions through oversampling.mp4 83.8 MB
  • 14 - Chapter 5. Basic probability and statistical analysis using SciPy.mp4 79.9 MB
  • 98 - Chapter 19. Community detection using Markov clustering, Part 2.mp4 78.9 MB
  • 93 - Chapter 19. Dynamic graph theory techniques for node ranking and social network analysis.mp4 78.7 MB
  • 87 - Chapter 18. An introduction to graph theory and network analysis.mp4 78.5 MB
  • 16 - Chapter 5. Variance as a measure of dispersion.mp4 77.5 MB
  • 70 - Chapter 15. Clustering texts by topic, Part 1.mp4 76.9 MB
  • 109 - Chapter 21. Training a linear classifier, Part 2.mp4 76.8 MB
  • 81 - Chapter 17. Filtering jobs by relevance.mp4 76.7 MB
  • 44 - Chapter 12. Visualizing and clustering the extracted location data.mp4 74.2 MB
  • 84 - Chapter 17. Exploring clusters at alternative values of K.mp4 72.7 MB
  • 42 - Chapter 11. Limitations of the GeoNamesCache library.mp4 72.5 MB
  • 36 - Chapter 10. Clustering based on non-Euclidean distance.mp4 72.1 MB
  • 64 - Chapter 14. Efficient dimension reduction using SVD and scikit-learn.mp4 71.9 MB
  • 22 - Chapter 7. Assessing the divergence between sample mean and population mean.mp4 71.6 MB
  • 82 - Chapter 17. Clustering skills in relevant job postings.mp4 69.8 MB
[磁力链接] 添加时间:2022-03-14 大小:6.9 GB 最近下载:2025-05-17 热度:518

[FreeCourseSite.com] Udemy - Data Science and Machine Learning Bootcamp with R

  • 4. Mac OS Installation Set-Up/1. Mac OS Installation Procedure.mp4 74.9 MB
  • 18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 66.4 MB
  • 19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 62.6 MB
  • 21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 62.4 MB
  • 14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 60.5 MB
  • 15. Data Visualization with R/2. Histograms.mp4 59.7 MB
  • 23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 59.0 MB
  • 20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 58.3 MB
  • 33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 57.4 MB
  • 20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 56.6 MB
  • 22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 49.9 MB
  • 24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 49.0 MB
  • 21. Machine Learning Project - Linear Regression/1. Introduction to Linear Regression Project.mp4 48.8 MB
  • 22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 48.6 MB
  • 1. Course Introduction/4.1 R-Course-HTML-Notes.zip 47.8 MB
  • 6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip 47.8 MB
  • 18. Capstone Data Project/1. Introduction to Capstone Project.mp4 47.7 MB
  • 15. Data Visualization with R/3. Scatterplots.mp4 47.4 MB
  • 12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 45.5 MB
  • 32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 44.9 MB
[磁力链接] 添加时间:2021-04-28 大小:3.1 GB 最近下载:2025-05-31 热度:517

365 Data Science - Intro to Data and Data Science [CoursesGhar]

  • 4. Common data science techniques [CoursesGhar.Com]/1. Traditional Data - Techniques.mp4 137.4 MB
  • 4. Common data science techniques [CoursesGhar.Com]/7. Traditional Methods - Techniques.mp4 93.2 MB
  • 7. Dispelling common Misconceptions [CoursesGhar.Com]/1. Dispelling Common Misconceptions.mp4 91.6 MB
  • 4. Common data science techniques [CoursesGhar.Com]/10. Machine Learning (ML) - Types of Machine Learning.mp4 82.7 MB
  • 4. Common data science techniques [CoursesGhar.Com]/3. Big Data - Techniques.mp4 72.0 MB
  • 3. What is the purpose of each data science field [CoursesGhar.Com]/1. Why do we need each of these disciplines.mp4 67.8 MB
  • 4. Common data science techniques [CoursesGhar.Com]/5. Business Intelligence (BI) - Techniques.mp4 61.3 MB
  • 1. The different data science fields [CoursesGhar.Com]/6. An Overview of our Data Science Infographic.mp4 59.5 MB
  • 1. The different data science fields [CoursesGhar.Com]/1. Welcome to Intro to Data and Data Science.mp4 52.3 MB
  • 4. Common data science techniques [CoursesGhar.Com]/9. Machine Learning (ML) - Techniques.mp4 51.6 MB
  • 4. Common data science techniques [CoursesGhar.Com]/6. Business Intelligence (BI) - Real-life Examples.mp4 45.8 MB
  • 6. Data science career paths [CoursesGhar.Com]/1. Data Science Job Positions - What do they Involve and What to Look out for.mp4 45.3 MB
  • 4. Common data science techniques [CoursesGhar.Com]/8. Traditional Methods - Real-life Examples.mp4 45.1 MB
  • 1. The different data science fields [CoursesGhar.Com]/4. Intro to Business Analytics, Data Analytics, and Data Science.mp4 42.4 MB
  • 4. Common data science techniques [CoursesGhar.Com]/11. Machine Learning (ML) - Real-life Examples.mp4 36.3 MB
  • 1. The different data science fields [CoursesGhar.Com]/2. Why are there so many business and data science buzzwords.mp4 35.7 MB
  • 4. Common data science techniques [CoursesGhar.Com]/2. Traditional Data - Real-life Examples.mp4 20.7 MB
  • 1. The different data science fields [CoursesGhar.Com]/3. Analysis vs Analytics.mp4 20.5 MB
  • 4. Common data science techniques [CoursesGhar.Com]/4. Big Data - Real-life Examples.mp4 16.2 MB
  • Uploaded by [Coursesghar.com].txt 1.1 kB
[磁力链接] 添加时间:2024-02-03 大小:1.1 GB 最近下载:2025-05-30 热度:517

R Programming Hands-on Specialization for Data Science (Lv1)

  • 9. Data Science Application in R - Automated Web Scraping Bot/2. Web Scraping - One Simple yet Powerful Way to do so!.mp4 35.4 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/34. Advanced Data Frames Manipulation.mp4 35.3 MB
  • 7. R Data Structure - Data Frames/6. Data Frames - Everything you need to know about Subsetting.mp4 31.0 MB
  • 7. R Data Structure - Data Frames/8. Data Frames - Imputing Missing Values like Pros!.mp4 29.7 MB
  • 2. R Fundamentals/3. R Basics - Working Directory, Environment Variables and more!.mp4 28.9 MB
  • 7. R Data Structure - Data Frames/9. Data Frames - Advanced Subsetting Techniques for robust analytics.mp4 27.0 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/33. Advanced Data Munging - Discretizing Continuous Values.mp4 26.9 MB
  • 7. R Data Structure - Data Frames/2. Data Frames - Creation and important functions for Basic Exploratory Analysis.mp4 26.4 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/3. Web Scraping - Use Case Custom Churn Analysis.mp4 26.2 MB
  • 5. R Data Structure - Matrices/3. Matrices - Creation from Vectors + Naming Dimensions (Explicit, Implicit).mp4 25.3 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/1. Web Scraping - Setting Context + Highlighting Use-Cases.mp4 25.2 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/6. Use Case Custom Churn - Performing Data Cleansing.mp4 24.9 MB
  • 4. R Data Structure - Vectors/1. Vectors - Creation, Homogeneity, Coercion Implications and Important Functions!.mp4 24.6 MB
  • 1. Introduction/2. Why you should learn R.mp4 24.0 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/23. Systematic analysis of website for efficient Scraping.mp4 23.2 MB
  • 8. R Control Structures/2. For Loops in R - Intro and Practical Use-Cases.mp4 23.1 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/35. Orchestrating Automation of Web Scraping Routine.mp4 22.4 MB
  • 9. Data Science Application in R - Automated Web Scraping Bot/8. Web Scraping - Contextual Understanding of HTML Tags.mp4 21.9 MB
  • 7. R Data Structure - Data Frames/7. Data Frames - Handling Missing Values like Pros!.mp4 21.4 MB
  • 4. R Data Structure - Vectors/3. Vectors - Understanding Indexing like never before!.mp4 20.7 MB
[磁力链接] 添加时间:2021-04-18 大小:1.1 GB 最近下载:2025-05-04 热度:512

[ FreeCourseWeb.com ] Do ' s and Do Not ' s of AI in Data Science.zip

  • [ FreeCourseWeb.com ] Do ' s and Do Not ' s of AI in Data Science.zip 173.6 MB
[磁力链接] 添加时间:2025-01-26 大小:173.6 MB 最近下载:2025-05-31 热度:512

04 eni python pour la data science.pdf

  • 04 eni python pour la data science.pdf 136.3 MB
[磁力链接] 添加时间:2021-05-21 大小:136.3 MB 最近下载:2024-06-10 热度:511

Data Science & Machine Learning - Hands on Data Science 2020

  • Data Science & Machine Learning - Hands on Data Science 2020/21 Data Science in Cloud/117 Data Science in Cloud - 2 (Microsoft Azure).mp4 199.6 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/107 Create Python virtual environment -2.mp4 153.2 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/040 Insight -1.mp4 123.4 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/062 How to use developer tools in browser.mp4 119.1 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/17 Linear Regression/091 Python Implementation - Step 1.mp4 104.3 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/18 Logistic Regression/095 Python Implementation - Step 1.mp4 102.5 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/100 Installation Part - 1 and 2.mp4 98.5 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/041 Insight - 2.mp4 96.1 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/101 Installation Part - 3 and 4.mp4 92.3 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/01 Introduction/002 Download and Install Anaconda - Ubuntu Linux.mp4 89.9 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/111 Python Variables and Datatypes.mp4 77.4 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/033 Plotly scatter and line chart.mp4 76.2 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/151 Measure Statistical Parameter with Microsoft Excel.mp4 76.1 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/17 Linear Regression/092 Python Implementation - Step 2.mp4 75.3 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/037 Plotly - Histogram and Distribution plot.mp4 74.9 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/18 Logistic Regression/096 Python Implementation - Step 2.mp4 64.0 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/24 -------- Probability --------/133 Union Intersection of complement of event.mp4 63.6 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/115 Python Looping in Python.mp4 59.7 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/21 Data Science in Cloud/116 Data Science in Cloud -1.mp4 56.8 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/16 K nearest neighbour/086 KNN algorithm - Intitution.mp4 55.1 MB
[磁力链接] 添加时间:2022-03-15 大小:4.5 GB 最近下载:2025-05-31 热度:511


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