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[FreeCourseSite.com] Udemy - Master SQL For Data Science

  • 10. Window Functions for Analytics/5. Working with Rollups and Cubes.mp4 117.4 MB
  • 10. Window Functions for Analytics/3. RANK, FIRST_VALUE and NTILE Functions.mp4 116.6 MB
  • 9. Working with Multiple Tables/6. Creating Views vs. Inline Views.mp4 84.3 MB
  • 2. Database Basics/4. Install Postgres on Windows.mp4 75.1 MB
  • 10. Window Functions for Analytics/4. LEAD and LAG Functions.mp4 66.2 MB
  • 1. Chapter 1/1. Course Overview.mp4 55.4 MB
  • 2. Database Basics/5. Create Table and Insert Statements.mp4 45.4 MB
  • 9. Working with Multiple Tables/2. INNER and OUTER Joins + [EXERCISES].mp4 42.7 MB
  • 3. SQL Query Basics/2. Filter Data Using the WHERE Clause + AND & OR.mp4 42.4 MB
  • 2. Database Basics/7. Prepare the Database.mp4 41.9 MB
  • 10. Window Functions for Analytics/2. Ordering Data in Window Frames.mp4 36.5 MB
  • 7. Using the CASE Clause in Interesting Ways/1. Conditional Expressions Using CASE Clause + [EXERCISES].mp4 34.7 MB
  • 6. Using Subqueries/4. Subqueries with ANY and ALL Operators + [EXERCISES].mp4 34.6 MB
  • 3. SQL Query Basics/1. Introducing the SELECT Statement.mp4 34.4 MB
  • 8. Advanced Query Techniques using Correlated Subqueries/1. Understanding Correlated Subqueries.mp4 33.6 MB
  • 7. Using the CASE Clause in Interesting Ways/2. Transposing Data using the CASE Clause + [EXERCISES].mp4 31.7 MB
  • 3. SQL Query Basics/3. Filtering Operators - IN, NOT IN, IS NULL, BETWEEN.mp4 31.6 MB
  • 10. Window Functions for Analytics/1. Window Functions using the OVER() Clause.mp4 31.3 MB
  • 6. Using Subqueries/3. Subqueries Continued + [EXERCISES].mp4 31.2 MB
  • 9. Working with Multiple Tables/5. [EXERCISES] Joins and Subqueries Continued.mp4 28.7 MB
[磁力链接] 添加时间:2021-04-01 大小:1.4 GB 最近下载:2025-05-16 热度:1162

[ 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:2025-10-09 热度:1008

[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:2025-10-12 热度:10068

Python for Data Science and Machine Learning Bootcamp [UDEMY]

  • 26 Neural Nets and Deep Learning/135 TensorFlow Installation.mp4 96.4 MB
  • 25 Big Data and Spark with Python/125 EC2 Instance Set-Up.mp4 90.7 MB
  • 18 K Nearest Neighbors/094 KNN Project Solutions.mp4 74.3 MB
  • 25 Big Data and Spark with Python/130 RDD Transformations and Actions.mp4 74.2 MB
  • 25 Big Data and Spark with Python/127 PySpark Setup.mp4 74.0 MB
  • 11 Python for Data Visualization - Plotly and Cufflinks/059 Plotly and Cufflinks.mp4 65.6 MB
  • 09 Python for Data Visualization - Seaborn/047 Distribution Plots.mp4 64.7 MB
  • 13 Data Capstone Project/071 Finance Project - Solutions Part 1.mp4 63.4 MB
  • 13 Data Capstone Project/068 911 Calls Solutions - Part 2.mp4 61.7 MB
  • 24 Natural Language Processing/118 NLP Project Solutions.mp4 60.5 MB
  • 21 K Means Clustering/107 K Means Project Solutions.mp4 59.5 MB
  • 26 Neural Nets and Deep Learning/139 MNIST with Multi-Layer Perceptron - Part 3.mp4 59.5 MB
  • 15 Linear Regression/083 Linear Regression Project Solution.mp4 59.2 MB
  • 20 Support Vector Machines/101 Support Vector Machines with Python.mp4 58.9 MB
  • 13 Data Capstone Project/072 Finance Project - Solutions Part 2.mp4 58.6 MB
  • 12 Python for Data Visualization - Geographical Plotting/061 Choropleth Maps - Part 1 - USA.mp4 57.6 MB
  • 18 K Nearest Neighbors/092 KNN with Python.mp4 57.3 MB
  • 26 Neural Nets and Deep Learning/142 Tensorflow Project Exercise - Solutions.mp4 55.3 MB
  • 15 Linear Regression/080 Linear Regression with Python - Part 1.mp4 54.8 MB
  • 07 Python for Data Analysis - Pandas Exercises/038 Ecommerce Purchases Exercise Solutions.mp4 54.5 MB
[磁力链接] 添加时间:2021-04-01 大小:4.2 GB 最近下载:2025-06-25 热度:136

[CourseClub.Me] O'REILLY - Python for Data Science Complete Video Course Video Training

  • 48 - 9.2 Learn SciPy.mp4 697.3 MB
  • 77 - 14.4 Use function-based concurrency.mp4 637.7 MB
  • 08 - 2.2 Manage Colab documents.mp4 473.7 MB
  • 84 - 16.1 PyTest.mp4 391.0 MB
  • 24 - 5.1 Use lists and tuples.mp4 387.9 MB
  • 85 - 16.2 Visual Studio Code.mp4 382.4 MB
  • 79 - 15.1 Share with Github.mp4 375.5 MB
  • 50 - 9.4 Learn TensorFlow.mp4 358.5 MB
  • 75 - 14.2 Read and write with Pandas - CSV, JSON.mp4 352.8 MB
  • 49 - 9.3 Learn Pandas.mp4 351.9 MB
  • 07 - 2.1 Create your first Colab document.mp4 344.8 MB
  • 45 - 8.5 Advanced Use of Functions.mp4 334.5 MB
  • 72 - 13.3 Sort in Pandas.mp4 316.6 MB
  • 47 - 9.1 Learn NumPy.mp4 301.9 MB
  • 67 - 12.2 Use regular expressions.mp4 298.4 MB
  • 52 - 9.6 Use Plotly for interactive plots.mp4 274.8 MB
  • 51 - 9.5 Use Seaborn for 2D plots.mp4 274.4 MB
  • 10 - 2.4 Understand compatibility with Jupyter.mp4 270.6 MB
  • 53 - 9.7 Specialized Visualization Libraries.mp4 253.4 MB
  • 27 - 5.4 Work with the numpy array.mp4 245.8 MB
[磁力链接] 添加时间:2021-03-31 大小:14.1 GB 最近下载:2025-10-13 热度:1290

[ FreeCourseWeb.com ] Udemy - Introduction to Data Science with Python for beginners.zip

  • [ FreeCourseWeb.com ] Udemy - Introduction to Data Science with Python for beginners.zip 1.1 GB
[磁力链接] 添加时间:2021-03-31 大小:1.1 GB 最近下载:2025-06-13 热度:143

2021 Python for Machine Learning & Data Science Masterclass

  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/29. Pandas Project Exercise Solutions.mp4 190.4 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/16. Logistic Regression Project Exercise - Solutions.mp4 176.6 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/3. Dealing with Outliers.mp4 147.9 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/7. Coding Classification with Random Forest Classifier - Part Two.mp4 145.8 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/8. Coding Decision Trees - Part Two -Creating the Model.mp4 143.0 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/27. Pandas Pivot Tables.mp4 135.0 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/5. Dealing with Missing Data Part Two - Filling or Dropping data based on Rows.mp4 131.3 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/6. Dealing with Missing Data Part 3 - Fixing data based on Columns.mp4 128.7 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/7. Coding Decision Trees - Part One - The Data.mp4 120.7 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/5. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/4. KNN Coding with Python - Part Two - Choosing K.mp4 117.8 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/14. Multi-Class Classification with Logistic Regression - Part Two - Model.mp4 116.4 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
  • [TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/6. KNN Classification Project Exercise Solutions.mp4 115.1 MB
[磁力链接] 添加时间:2021-03-31 大小:11.4 GB 最近下载:2025-10-03 热度:2993

SQL For Data Science With Google Big Query

  • [TutsNode.com] - SQL For Data Science With Google Big Query/07 Census International Data Dashboard Project/047 Project Intro.mp4 236.1 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/05 Project 1_ New York Citi Bike Dashboard/040 Create Dashboard in Data Studio.mp4 233.6 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/04 Group By And Aggregate Functions/025 Group By And Aggregation Functions_ MAX MIN SUM COUNT AVG.mp4 201.0 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/01 Introduction/006 How Big Query Charges Per Query and How to Make Your Credit Last A Long Time.mp4 182.7 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/06 Joins (Joining Multiple Tables Together)/041 Intro to Joins.mp4 146.6 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/06 Joins (Joining Multiple Tables Together)/045 Joins & Where Clause & Group By and Aggregate_ Putting it all together Examples.mp4 142.2 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/01 Introduction/003 Signing up for 12 Month Free Trial of Google Cloud Platform and Google Big Query.mp4 140.0 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/08 Big Query Standard SQL Functions/052 Examples with Date and Timestamp Functions.mp4 139.8 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/06 Joins (Joining Multiple Tables Together)/046 Joining On Multiple Columns With Multiple Tables (More than 2).mp4 135.6 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/03 Where Clause/020 Where Clause On TIMESTAMP Columns And Some Useful Extract Functions.mp4 133.5 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/01 Introduction/005 Introduction Big Query UI and Functionality.mp4 121.8 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/04 Group By And Aggregate Functions/026 Group By Example_ COUNT with WHERE Clause and Visualization In Data Studio.mp4 121.0 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/03 Where Clause/016 Where Clauses On Numerical Columns.mp4 120.6 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/04 Group By And Aggregate Functions/028 Group By Example_ MAX MIN AVG with WHERE and Visualization In Data Studio.mp4 110.5 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/04 Group By And Aggregate Functions/024 Intro to Group By, Aggregation, and Google's Data Studio Visualization Tool.mp4 104.6 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/02 Counting Records, Returning Distinct Records, and Ordering Records/014 Returning DIstinct Records and Order with Multiple Columns.mp4 103.5 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/05 Project 1_ New York Citi Bike Dashboard/039 Prepare Remaining Three Data Sets In Data Studio_ NY Citi Bike Project.mp4 101.1 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/01 Introduction/004 Getting Access to Big Query Public Data Sets and Pinning them Quick Access.mp4 95.9 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/04 Group By And Aggregate Functions/032 Grouping By Multiple Columns Explanation.mp4 95.4 MB
  • [TutsNode.com] - SQL For Data Science With Google Big Query/02 Counting Records, Returning Distinct Records, and Ordering Records/007 Intro to Count and Count Distinct.mp4 91.8 MB
[磁力链接] 添加时间:2021-03-31 大小:4.4 GB 最近下载:2025-10-12 热度:2977

[FreeCourseLab.me] Udemy - Complete Machine Learning and Data Science Zero to Mastery

  • 05 Data Science Environment Setup/038 Windows Environment Setup 2.mp4 238.7 MB
  • 09 Scikit-learn Creating Machine Learning Models/101 Typical scikit-learn Workflow.mp4 199.4 MB
  • 09 Scikit-learn Creating Machine Learning Models/102 Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 16 Career Advice Extra Bits/257 CWD Git Github.mp4 184.7 MB
  • 09 Scikit-learn Creating Machine Learning Models/133 Tuning Hyperparameters.mp4 184.1 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 Training Your Deep Neural Network.mp4 174.7 MB
  • 16 Career Advice Extra Bits/251 What If I Dont Have Enough Experience.mp4 168.8 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/170 Feature Engineering.mp4 166.9 MB
  • 09 Scikit-learn Creating Machine Learning Models/139 Putting It All Together.mp4 166.0 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/230 Make And Transform Predictions.mp4 162.5 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/217 Turning Data Into Batches 2.mp4 156.6 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/171 Turning Data Into Numbers.mp4 153.3 MB
  • 05 Data Science Environment Setup/035 Mac Environment Setup.mp4 151.4 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/233 Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 09 Scikit-learn Creating Machine Learning Models/109 Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/183 Feature Importance.mp4 149.2 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/237 Making Predictions On Test Images.mp4 147.7 MB
  • 14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/236 Training Model On Full Dataset.mp4 146.6 MB
  • 12 Milestone Project 2 Supervised Learning (Time Series Data)/181 Preproccessing Our Data.mp4 146.1 MB
  • 11 Milestone Project 1 Supervised Learning (Classification)/151 Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2021-03-31 大小:20.6 GB 最近下载:2025-09-16 热度:131

[DesireCourse.Net] Udemy - The Data Science Course 2020 Complete Data Science Bootcamp

  • 16. Statistics - Practical Example Descriptive Statistics/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 151.4 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. The Field of Data Science - Connecting the Data Science Disciplines/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. The Field of Data Science - The Various Data Science Disciplines/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 108.6 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 107.7 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.2 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
  • 20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 94.3 MB
[磁力链接] 添加时间:2021-03-31 大小:16.4 GB 最近下载:2025-10-08 热度:3361

[FreeCourseLab.me] Udemy - Python required for Data Science and Machine Learning 2020

  • 6. Python Basics V/2. Topic 2.mp4 83.6 MB
  • 8. Exploratory Data Analysis/2. Case Study - Topic 2.mp4 65.1 MB
  • 6. Python Basics V/1. Topic 1.mp4 63.6 MB
  • 3. Python Basics II/4. Topic 4.mp4 48.7 MB
  • 7. Visualization Tools/2. Matplotlib - Topic 2.mp4 41.8 MB
  • 5. Python Basics IV/1. Topic 1.mp4 34.9 MB
  • 5. Python Basics IV/4. Topic 4.mp4 32.9 MB
  • 3. Python Basics II/3. Topic 3.mp4 28.4 MB
  • 1. Introduction/3. What is Machine Learning and Data Science.mp4 28.3 MB
  • 5. Python Basics IV/2. Topic 2.mp4 27.4 MB
  • 3. Python Basics II/2. Topic 2.mp4 26.7 MB
  • 2. Python Basic I/4. Topic 2.mp4 22.3 MB
  • 2. Python Basic I/2. Installation.mp4 21.3 MB
  • 7. Visualization Tools/3. Seaborn- Topic 1.mp4 18.8 MB
  • 5. Python Basics IV/3. Topic 3.srt 18.0 MB
  • 5. Python Basics IV/3. Topic 3.mp4 18.0 MB
  • 4. Python Basics III/1. Topic 1.mp4 17.0 MB
  • 7. Visualization Tools/7. Seaborn- Topic 5.mp4 16.8 MB
  • 4. Python Basics III/4. Topic 4.mp4 15.1 MB
  • 8. Exploratory Data Analysis/1. Case Study - Topic 1.mp4 14.6 MB
[磁力链接] 添加时间:2021-03-31 大小:750.4 MB 最近下载:2022-04-18 热度:100

[ FreeCourseWeb.com ] Udemy - Python Crash Course for Data Science and Machine Learning.zip

  • [ FreeCourseWeb.com ] Udemy - Python Crash Course for Data Science and Machine Learning.zip 391.1 MB
[磁力链接] 添加时间:2021-03-30 大小:391.1 MB 最近下载:2025-09-05 热度:810

[GigaCourse.com] Udemy - Advanced Data Science Techniques in SPSS

  • 01 Getting Started/001 Introduction.mp4 47.8 MB
  • 06 Growing Binary Trees (CART) in SPSS/045 Using Binary Trees for Future Predictions.mp4 36.1 MB
  • 04 K Nearest Neighbor in SPSS/027 Interpreting the results of the KNN analysis.mp4 30.4 MB
  • 06 Growing Binary Trees (CART) in SPSS/042 Interpreting the CART Classification Tree.mp4 29.7 MB
  • 11 Two-Step Cluster Analysis/067 Interpreting the Output of the Two-Step Cluster Analysis (2).mp4 26.3 MB
  • 02 Advanced Linear Regression Techniques/005 Interpreting the Results of the Stepwise Method.mp4 25.9 MB
  • 07 Growing Non-Binary Trees (CHAID) in SPSS/047 Interpreting a CHAID Regression Tree.mp4 21.8 MB
  • 07 Growing Non-Binary Trees (CHAID) in SPSS/052 Using Non-Binary Trees for Future Predictions.mp4 21.4 MB
  • 04 K Nearest Neighbor in SPSS/030 Using the KNN Model for Future Predictions.mp4 21.3 MB
  • 07 Growing Non-Binary Trees (CHAID) in SPSS/050 Interpreting a CHAID Classification Tree.mp4 21.1 MB
  • 09 Training a Multilayer Perceptron (MLP) in SPSS/058 Interpreting the Multilayer Perceptron.mp4 20.5 MB
  • 06 Growing Binary Trees (CART) in SPSS/036 Intepreting a Binary Regression Tree (1).mp4 19.7 MB
  • 03 Nonlinear Regression Analysis/015 Performing a Quadratic Regression in SPSS (1).mp4 19.5 MB
  • 06 Growing Binary Trees (CART) in SPSS/041 Growing a CART Classification Tree in SPSS.mp4 18.4 MB
  • 11 Two-Step Cluster Analysis/066 Interpreting the Output of the Two-Step Cluster Analysis (1).mp4 18.1 MB
  • 12 Survival Analysis/077 Executing the Cox Regression.mp4 16.5 MB
  • 02 Advanced Linear Regression Techniques/007 Interpreting the Results of the Forward Selection Method.mp4 14.7 MB
  • 04 K Nearest Neighbor in SPSS/026 Performing the KNN technique.mp4 14.5 MB
  • 05 Introduction to Decision Trees/031 What Are Decision Trees.mp4 14.3 MB
  • 03 Nonlinear Regression Analysis/017 Performing a Cubic Regression in SPSS (1).mp4 14.1 MB
[磁力链接] 添加时间:2021-03-30 大小:953.7 MB 最近下载:2025-05-30 热度:31

[ FreeCourseWeb.com ] Udemy - Complete Data Science Course- Beginner to Advance.zip

  • [ FreeCourseWeb.com ] Udemy - Complete Data Science Course- Beginner to Advance.zip 832.8 MB
[磁力链接] 添加时间:2021-03-29 大小:832.8 MB 最近下载:2025-10-03 热度:81

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:2025-10-09 热度:4758

[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:2021-03-29 大小:7.2 GB 最近下载:2025-10-10 热度:989

Udemy - Practical Financial Data Analysis With Python Data Science.zip.enc

  • Udemy - Practical Financial Data Analysis With Python Data Science.zip.enc 2.8 GB
[磁力链接] 添加时间:2021-03-29 大小:2.8 GB 最近下载:2025-05-16 热度:142

[GigaCourse.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/14. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
[磁力链接] 添加时间:2021-03-29 大小:6.4 GB 最近下载:2025-09-24 热度:768

[Tutorialsplanet.NET] Udemy - Data Science Supervised Machine Learning in Python

  • 9. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
  • 10. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
  • 9. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 46.1 MB
  • 11. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 12. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 11. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.4 MB
  • 2. K-Nearest Neighbor/7. Effect of K.mp4 37.6 MB
  • 4. Decision Trees/6. Decision Tree in Code.mp4 31.8 MB
  • 11. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
  • 10. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
  • 4. Decision Trees/1. Decision Tree Intuition.mp4 21.4 MB
  • 2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4 18.8 MB
  • 2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4 18.4 MB
  • 2. K-Nearest Neighbor/8. KNN Exercise.mp4 17.7 MB
  • 2. K-Nearest Neighbor/9. Suggestion Box.mp4 16.9 MB
  • 6. Practical Machine Learning/5. Sci-Kit Learn.mp4 16.6 MB
  • 3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.mp4 16.5 MB
  • 10. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).mp4 15.5 MB
[磁力链接] 添加时间:2021-03-29 大小:1.1 GB 最近下载:2025-05-12 热度:146

[Tutorialsplanet.NET] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

  • 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
  • 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
  • 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
  • 26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
  • 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
  • 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
  • 13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
  • 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
  • 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
  • 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
  • 10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
  • 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
  • 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
  • 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
  • 10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 66.4 MB
[磁力链接] 添加时间:2021-03-29 大小:6.3 GB 最近下载:2025-09-05 热度:234


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