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[DesireCourse.Net] Udemy - Complete 2019 Data Science & Machine Learning Bootcamp

  • [DesireCourse.Net] Udemy - Complete 2019 Data Science & Machine Learning Bootcamp.zip 15.8 GB
  • [DesireCourse.Net].url 51 Bytes
  • [CourseClub.Me].url 48 Bytes
[磁力链接] 添加时间:2022-03-05 大小:15.8 GB 最近下载:2025-02-20 热度:294

[Udemy] 40 Days Bootcamp 40 Data Science and Machine Learning Projects (09.2021)

  • 16. Project-15 Cats Vs Dogs Image Classification App/2. Creating Project Notebook.mp4 256.2 MB
  • 18. Project-17 Gender From Voice Prediction/2. Creating Project Notebook.mp4 254.8 MB
  • 19. Project-18 Restaurant Recommendation System/4. Data Analysis 2.mp4 254.6 MB
  • 20. Project-19 Check Happiness Ranking Using Machine Learning/2. Project Notebook.mp4 252.2 MB
  • 13. Project-12 Attrition Rate Django App/2. Creating Colab Notebook.mp4 224.1 MB
  • 21. Project-20 Predicting Forest Fire/2. Project Notebook.mp4 217.2 MB
  • 32. Project-31 Video Game Sales Prediction App/2. Google Colab part-1.mp4 211.9 MB
  • 17. Project-16 Customer Revenue Prediction/2. Colab Notebook.mp4 211.5 MB
  • 21. Project-20 Predicting Forest Fire/6.1 Forest Fires App -Code.zip 196.6 MB
  • 21. Project-20 Predicting Forest Fire/6.2 Forest Fires App -Code.zip 196.6 MB
  • 16. Project-15 Cats Vs Dogs Image Classification App/6.1 Cats Vs Dogs App Code.zip 189.3 MB
  • 14. Project-13 Project To Find Legendary Pokemon/2. Creating Colab Notebook.mp4 185.7 MB
  • 30. Project-29 Customer Churning Prediction/3. Data visualization.mp4 168.3 MB
  • 32. Project-31 Video Game Sales Prediction App/4. Creating Django App.mp4 154.6 MB
  • 30. Project-29 Customer Churning Prediction/4. Model building.mp4 154.5 MB
  • 12. Project-11 Sentiment Analysis Using Logistic Regression/2. Project Notebook Google Colab.mp4 147.6 MB
  • 20. Project-19 Check Happiness Ranking Using Machine Learning/3. Creating Django App.mp4 145.0 MB
  • 29. Project-28 Covid 19 Data Analysis/4. Data Analysis part2.mp4 141.5 MB
  • 35. Project-34 Mushroom Classification App - Deploy On Heruko/2. Importing libraries and Understanding data.mp4 135.8 MB
  • 9. Project-8 Create Face Swapping Application/3. Data preprocessing and creating output.mp4 133.9 MB
[磁力链接] 添加时间:2022-02-05 大小:15.2 GB 最近下载:2025-05-17 热度:7604

[FreeCourseSite.com] Udemy - The Data Science Course 2019 Complete Data Science Bootcamp

  • 16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 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. Combinatorics/20. A Practical Example of Combinatorics.mp4 140.7 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
  • 5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 129.5 MB
  • 53. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
  • 20. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4 118.1 MB
  • 2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
  • 53. 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
  • 51. Deep Learning - Business Case Example/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 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
  • 12. Probability Distributions/3. Types of Probability Distributions.mp4 96.8 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:2021-04-07 大小:15.1 GB 最近下载:2025-05-13 热度:488

[DesireCourse.Com] Udemy - The Data Science Course 2019 Complete Data Science Bootcamp

  • 16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 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. Combinatorics/20. A Practical Example of Combinatorics.mp4 140.7 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
  • 5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 129.5 MB
  • 53. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
  • 20. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4 118.1 MB
  • 2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
  • 53. 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
  • 51. Deep Learning - Business Case Example/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 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
  • 12. Probability Distributions/3. Types of Probability Distributions.mp4 96.8 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:2022-05-03 大小:15.1 GB 最近下载:2025-05-10 热度:255

[Udemy] [2021] Tableau 2020 A-Z Hands-on Tableau For Data Science (2021) [En]

  • 35 Pivot Table and Dashboards in Excel/002 Excel If Nested Ifs Functions with its Alternatives.mp4 615.8 MB
  • 35 Pivot Table and Dashboards in Excel/001 Pivot Table and its Properties.mp4 594.8 MB
  • 39 Understanding Expressions and Statements/002 Power Query Analytics Tool.mp4 557.2 MB
  • 34 Basic Excel Functions/006 Excel Function Sumproduct_Count_ifs.mp4 546.3 MB
  • 36 Excel Shortcuts and Conditional Formatting/003 Office 365 Functions and Exercises.mp4 504.0 MB
  • 36 Excel Shortcuts and Conditional Formatting/001 Aggregate Functions and Excel Practices.mp4 433.3 MB
  • 33 Introduction to Lookup Functions/002 Vlookup with Multiple Criteria.mp4 423.8 MB
  • 36 Excel Shortcuts and Conditional Formatting/002 Excel Keyboard Shortcuts.mp4 415.8 MB
  • 38 Introduction to VBA_ Visual Basic for Applications/004 Basics of VBA for Each loop and Exercises.mp4 400.7 MB
  • 32 Sorting , Freeze Panes, Insert Rows etc/001 Sorting , Freeze Panes, Insert Rows etc.mp4 392.1 MB
  • 38 Introduction to VBA_ Visual Basic for Applications/002 Excel VBA Basics.mp4 371.5 MB
  • 34 Basic Excel Functions/003 Count Function Series.mp4 351.1 MB
  • 38 Introduction to VBA_ Visual Basic for Applications/006 Functions and Exercises.mp4 337.3 MB
  • 34 Basic Excel Functions/001 Functions and Exercises.mp4 337.1 MB
  • 34 Basic Excel Functions/005 Sum with IF and Sum product Series.mp4 333.9 MB
  • 34 Basic Excel Functions/002 Advanced Filter.mp4 331.4 MB
  • 38 Introduction to VBA_ Visual Basic for Applications/003 Excel Basics of VBA Combo Box and Exercises.mp4 312.8 MB
  • 35 Pivot Table and Dashboards in Excel/003 Conditional Formatting.mp4 296.7 MB
  • 33 Introduction to Lookup Functions/003 Two Way Lookup.mp4 291.9 MB
  • 37 Basic Functions in Excel/001 Xlookup Function with Mod and Time Functions.mp4 279.9 MB
[磁力链接] 添加时间:2021-03-22 大小:14.8 GB 最近下载:2025-05-17 热度:2040

[FTU] Udemy - The Data Science Course 2019 Complete Data Science Bootcamp

  • 16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 MB
  • 40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.3 MB
  • 10. Combinatorics/20. A Practical Example of Combinatorics.mp4 140.7 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 129.5 MB
  • 53. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
  • 20. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4 118.1 MB
  • 2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
  • 53. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
  • 51. Deep Learning - Business Case Example/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 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
  • 12. Probability Distributions/3. Types of Probability Distributions.mp4 96.8 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
  • 51. Deep Learning - Business Case Example/1. Business Case Getting acquainted with the dataset.mp4 91.9 MB
  • 58. Case Study - Analyzing the Predicted Outputs in Tableau/4. Analyzing Reasons vs Probability in Tableau.mp4 91.1 MB
  • 36. Advanced Statistical Methods - Logistic Regression/3. Logistic vs Logit Function.mp4 90.7 MB
[磁力链接] 添加时间:2021-03-08 大小:14.7 GB 最近下载:2025-05-17 热度:4945

[ FreeCourseWeb.com ] Udemy - The Data Science Course 2019- Complete Data Science Bootcamp.rar

  • [ FreeCourseWeb.com ] Udemy - The Data Science Course 2019- Complete Data Science Bootcamp.rar 14.5 GB
[磁力链接] 添加时间:2021-06-24 大小:14.5 GB 最近下载:2025-05-12 热度:784

[DesireCourse.Net] 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
  • 17. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4 184.1 MB
  • 17. 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/44. Putting It All Together.mp4 166.0 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
  • 9. Scikit-learn Creating Machine Learning Models/14. 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
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Binary Classification)/9. Finding Patterns 3.mp4 144.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Exploring Our Data.mp4 144.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/13. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 143.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/11. Getting Your Data Ready Convert Data To Numbers.mp4 141.6 MB
  • 17. Career Advice + Extra Bits/11. Contributing To Open Source.mp4 136.6 MB
  • 11. Milestone Project 1 Supervised Learning (Binary Classification)/20. Finding The Most Important Features.mp4 133.7 MB
  • 5. Data Science Environment Setup/6. Mac Environment Setup 2.mp4 131.6 MB
[磁力链接] 添加时间:2024-03-28 大小:14.2 GB 最近下载:2025-03-16 热度:232

GetFreeCourses.Me-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
  • 17. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4 184.1 MB
  • 17. 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/44. Putting It All Together.mp4 166.0 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
  • 9. Scikit-learn Creating Machine Learning Models/14. 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
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Binary Classification)/9. Finding Patterns 3.mp4 144.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Exploring Our Data.mp4 144.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/13. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 143.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/11. Getting Your Data Ready Convert Data To Numbers.mp4 141.6 MB
  • 17. Career Advice + Extra Bits/11. Contributing To Open Source.mp4 136.6 MB
  • 11. Milestone Project 1 Supervised Learning (Binary Classification)/20. Finding The Most Important Features.mp4 133.7 MB
  • 5. Data Science Environment Setup/6. Mac Environment Setup 2.mp4 131.6 MB
[磁力链接] 添加时间:2021-03-07 大小:14.2 GB 最近下载:2025-05-17 热度:1402

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
  • 17. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4 184.1 MB
  • 17. 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/44. Putting It All Together.mp4 166.0 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
  • 9. Scikit-learn Creating Machine Learning Models/14. 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
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Binary Classification)/9. Finding Patterns 3.mp4 144.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Exploring Our Data.mp4 144.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/13. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 143.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/11. Getting Your Data Ready Convert Data To Numbers.mp4 141.6 MB
  • 17. Career Advice + Extra Bits/11. Contributing To Open Source.mp4 136.6 MB
  • 11. Milestone Project 1 Supervised Learning (Binary Classification)/20. Finding The Most Important Features.mp4 133.7 MB
  • 5. Data Science Environment Setup/6. Mac Environment Setup 2.mp4 131.6 MB
[磁力链接] 添加时间:2021-04-12 大小:14.2 GB 最近下载:2025-05-15 热度:1151

[GigaCourse.Com] Udemy - Diploma in Python with Data Science and Machine Learning

  • 12. 13. (BONUS SERIES) Java Programming/6. 6. Arrays in Java.mp4 1.4 GB
  • 12. 13. (BONUS SERIES) Java Programming/9. 09. Operators in Java.mp4 1.4 GB
  • 12. 13. (BONUS SERIES) Java Programming/1. 1. Java introduction.mp4 1.1 GB
  • 12. 13. (BONUS SERIES) Java Programming/10. 10. Type Casting in Java.mp4 752.1 MB
  • 12. 13. (BONUS SERIES) Java Programming/7. 7. Strings in Java part 1.mp4 657.8 MB
  • 12. 13. (BONUS SERIES) Java Programming/5. 5. Literals in Java.mp4 586.7 MB
  • 12. 13. (BONUS SERIES) Java Programming/2. 2. Variables in Java.mp4 516.4 MB
  • 12. 13. (BONUS SERIES) Java Programming/8. 8. Strings in Java part 2.mp4 490.0 MB
  • 12. 13. (BONUS SERIES) Java Programming/11. 11. Control statement If else in Java.mp4 464.7 MB
  • 12. 13. (BONUS SERIES) Java Programming/12. 12. Switch Statement in Java.mp4 318.2 MB
  • 12. 13. (BONUS SERIES) Java Programming/4. 4. Reserved Keywords in Java.mp4 192.8 MB
  • 15. Project Based Learning and Mini Project/7. PBL7.mp4 161.4 MB
  • 17. CSS/8. Web Development CSS 8.mp4 157.4 MB
  • 12. 13. (BONUS SERIES) Java Programming/3. 3. Identifiers in Java.mp4 152.3 MB
  • 16. Web Development Bootcamp/1. 1. Web development 1.mp4 149.2 MB
  • 17. CSS/9. Web Development CSS 9.mp4 140.1 MB
  • 13. 12. Advanced Machine Learning/5. 05. Case study.mp4 139.5 MB
  • 17. CSS/7. Web Development CSS 7.mp4 133.7 MB
  • 13. 12. Advanced Machine Learning/9. 09. Decision Tree.mp4 133.4 MB
  • 14. Speech Recognition by Python ( Mini Project )/2. Computer vision lecture 1.mp4 115.5 MB
[磁力链接] 添加时间:2024-05-16 大小:13.8 GB 最近下载:2025-05-17 热度:1050

[FreeCourseWorld.Com] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

  • 20 Handling errors during ETL (Phases 1 2)/136 How to analyze the error files.mp4 344.7 MB
  • 27 Homework Solutions/209 ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 301.8 MB
  • 20 Handling errors during ETL (Phases 1 2)/132 SSIS Error Data truncation.mp4 280.5 MB
  • 20 Handling errors during ETL (Phases 1 2)/130 What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
  • 27 Homework Solutions/208 ETL Error Handling (Phases 1 and 2).mp4 250.6 MB
  • 27 Homework Solutions/211 ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 242.6 MB
  • 26 Presenting for Data Scientists/199 REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 241.7 MB
  • 13 Assessing your model/084 How to build a CAP curve in Excel.mp4 223.4 MB
  • 22 ETL Phase 3 Data Wrangling after the load/168 Create the proc for the second file.mp4 217.0 MB
  • 23 Handling errors during ETL (Phase 3)/176 Upload the data to RAW table.mp4 207.4 MB
  • 26 Presenting for Data Scientists/201 How to present to executives.mp4 207.1 MB
  • 25 Working with people/192 The art of saying No.mp4 205.9 MB
  • 22 ETL Phase 3 Data Wrangling after the load/173 What you can do with these tables going forward [drv files etc.].mp4 199.0 MB
  • 10 Multiple Linear Regression/059 Backward Elimination - Practice time.mp4 196.0 MB
  • 25 Working with people/194 Building a data culture.mp4 194.2 MB
  • 12 Building a robust geodemographic segmentation model/075 Lets build the model - backward elimination STEP-BY-STEP.mp4 179.7 MB
  • 14 Drawing insights from your model/096 Deriving insights from your coefficients (advanced topic).mp4 176.4 MB
  • 25 Working with people/191 Go and sit with them.mp4 176.2 MB
  • 10 Multiple Linear Regression/060 Using Adjusted R-squared to create Robust models.mp4 175.3 MB
  • 26 Presenting for Data Scientists/198 Intro dissection - recap.mp4 173.2 MB
[磁力链接] 添加时间:2021-04-16 大小:13.7 GB 最近下载:2025-04-01 热度:576

GetFreeCourses.Co-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:2023-12-20 大小:13.5 GB 最近下载:2025-05-17 热度:1471

[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:2025-05-17 热度:3301

[GigaCourse.Com] Udemy - Data Science Bootcamp with 5 Data Science Projects

  • 8. Statistics and Probability/27. Confidence Intervals.mp4 127.1 MB
  • 2. Python for Data Analysis/18. Time Complexity.mp4 126.1 MB
  • 2. Python for Data Analysis/22. Insertion and Selection Sort.mp4 125.9 MB
  • 1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4 125.8 MB
  • 2. Python for Data Analysis/23. Merge Sort.mp4 121.0 MB
  • 2. Python for Data Analysis/20. Binary Search.mp4 114.8 MB
  • 5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4 111.3 MB
  • 1. Python Fundamentals/3. Naming Convention for variables.mp4 107.1 MB
  • 10. Data Exploration/8. Exploring the Dabl Library.mp4 106.8 MB
  • 8. Statistics and Probability/8. Permutations and Combinations.mp4 101.7 MB
  • 2. Python for Data Analysis/19. Linear Search.mp4 100.0 MB
  • 8. Statistics and Probability/23. Sample Mean and Population Mean.mp4 90.3 MB
  • 8. Statistics and Probability/10. Quiz Solution.mp4 90.2 MB
  • 14. Capstone Project 4 Global Cost of Living/4. Extracting Latitude and Longitude from the L.mp4 86.9 MB
  • 5. Data Cleaning/6. Imputing missing values in a real-time scenario.mp4 86.6 MB
  • 10. Data Exploration/9. Exploring the Sweetviz Library.mp4 85.5 MB
  • 8. Statistics and Probability/5. Conditional Probability.mp4 84.3 MB
  • 3. Python Functions Deep Dive/9. Filter, Map, and Zip Functions.mp4 83.8 MB
  • 5. Data Cleaning/3. When should we delete the missing values.mp4 83.5 MB
  • 8. Statistics and Probability/13. Measures of Spread.mp4 82.8 MB
[磁力链接] 添加时间:2022-01-11 大小:13.4 GB 最近下载:2025-03-09 热度:165

[Tutorialsplanet.NET] Udemy - Data Science Bootcamp with 5 Data Science Projects

  • 8. Statistics and Probability/27. Confidence Intervals.mp4 127.1 MB
  • 2. Python for Data Analysis/18. Time Complexity.mp4 126.1 MB
  • 2. Python for Data Analysis/22. Insertion and Selection Sort.mp4 125.9 MB
  • 1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4 125.8 MB
  • 2. Python for Data Analysis/23. Merge Sort.mp4 121.0 MB
  • 2. Python for Data Analysis/20. Binary Search.mp4 114.8 MB
  • 5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4 111.3 MB
  • 1. Python Fundamentals/3. Naming Convention for variables.mp4 107.1 MB
  • 10. Data Exploration/8. Exploring the Dabl Library.mp4 106.8 MB
  • 8. Statistics and Probability/8. Permutations and Combinations.mp4 101.7 MB
  • 2. Python for Data Analysis/19. Linear Search.mp4 100.0 MB
  • 8. Statistics and Probability/23. Sample Mean and Population Mean.mp4 90.3 MB
  • 8. Statistics and Probability/10. Quiz Solution.mp4 90.2 MB
  • 14. Capstone Project 4 Global Cost of Living/4. Extracting Latitude and Longitude from the L.mp4 86.9 MB
  • 5. Data Cleaning/6. Imputing missing values in a real-time scenario.mp4 86.6 MB
  • 10. Data Exploration/9. Exploring the Sweetviz Library.mp4 85.5 MB
  • 8. Statistics and Probability/5. Conditional Probability.mp4 84.3 MB
  • 3. Python Functions Deep Dive/9. Filter, Map, and Zip Functions.mp4 83.8 MB
  • 5. Data Cleaning/3. When should we delete the missing values.mp4 83.5 MB
  • 8. Statistics and Probability/13. Measures of Spread.mp4 82.8 MB
[磁力链接] 添加时间:2022-01-14 大小:13.4 GB 最近下载:2025-05-17 热度:349

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

  • 8. Statistics and Probability/27. Confidence Intervals.mp4 127.1 MB
  • 2. Python for Data Analysis/18. Time Complexity.mp4 126.1 MB
  • 2. Python for Data Analysis/22. Insertion and Selection Sort.mp4 125.9 MB
  • 1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4 125.8 MB
  • 2. Python for Data Analysis/23. Merge Sort.mp4 121.0 MB
  • 2. Python for Data Analysis/20. Binary Search.mp4 114.8 MB
  • 5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4 111.3 MB
  • 1. Python Fundamentals/3. Naming Convention for variables.mp4 107.1 MB
  • 10. Data Exploration/8. Exploring the Dabl Library.mp4 106.8 MB
  • 8. Statistics and Probability/8. Permutations and Combinations.mp4 101.7 MB
  • 2. Python for Data Analysis/19. Linear Search.mp4 100.0 MB
  • 8. Statistics and Probability/23. Sample Mean and Population Mean.mp4 90.3 MB
  • 8. Statistics and Probability/10. Quiz Solution.mp4 90.2 MB
  • 14. Capstone Project 4 Global Cost of Living/4. Extracting Latitude and Longitude from the L.mp4 86.9 MB
  • 5. Data Cleaning/6. Imputing missing values in a real-time scenario.mp4 86.6 MB
  • 10. Data Exploration/9. Exploring the Sweetviz Library.mp4 85.5 MB
  • 8. Statistics and Probability/5. Conditional Probability.mp4 84.3 MB
  • 3. Python Functions Deep Dive/9. Filter, Map, and Zip Functions.mp4 83.8 MB
  • 5. Data Cleaning/3. When should we delete the missing values.mp4 83.5 MB
  • 8. Statistics and Probability/13. Measures of Spread.mp4 82.8 MB
[磁力链接] 添加时间:2022-01-14 大小:13.4 GB 最近下载:2025-05-05 热度:560

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

  • 53. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.1 MB
  • 53. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
  • 55. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.7 MB
  • 54. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.6 MB
  • 1. Installations/1. Installing Anaconda Distribution for Windows.mp4 136.7 MB
  • 52. First Contact with Kaggle/1. What is Kaggle.mp4 136.0 MB
  • 1. Installations/3. Installing Anaconda Distribution for Linux.mp4 133.4 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
  • 52. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 122.9 MB
  • 32. Matplotlib/8. Basic Plots in Matplotlib I.mp4 116.6 MB
  • 57. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.3 MB
  • 38. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • 55. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 111.0 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.1 MB
  • 36. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.2 MB
  • 33. Seaborn/5. Basic Plots in Seaborn.mp4 103.6 MB
  • 36. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • 61. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 95.8 MB
  • 29. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 95.1 MB
[磁力链接] 添加时间:2024-02-16 大小:13.1 GB 最近下载:2025-05-17 热度:3106

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023]

  • [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023].part1.rar 6.4 GB
  • [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023].part2.rar 6.4 GB
  • [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023].part3.rar 78.6 MB
[磁力链接] 添加时间:2023-12-21 大小:13.0 GB 最近下载:2025-05-15 热度:3907

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

  • 37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
  • 26. K-Means Clustering/6. K-Means Clustering in Python - Step 2.srt 175.4 MB
  • 29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
  • 37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
  • 43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
  • 17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
  • 22. Random Forest Classification/3. Random Forest Classification in Python.srt 149.4 MB
  • 23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
  • 27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
  • 13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
  • 26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
  • 16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
  • 37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
  • 39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
  • 43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
  • 36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
  • 21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
  • 29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
  • 37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
  • 18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
[磁力链接] 添加时间:2021-03-26 大小:12.7 GB 最近下载:2025-05-15 热度:766


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