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[Tutorialsplanet.NET] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost

  • 7. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 8. 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. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4 50.0 MB
  • 7. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4 43.8 MB
  • 9/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 10. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 9/4. What order should I take your courses in (part 2).mp4 39.5 MB
  • 9/3. What order should I take your courses in (part 1).mp4 30.8 MB
  • 8. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
  • 3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4 21.3 MB
  • 2. Bias-Variance Trade-Off/7. Suggestion Box.mp4 16.9 MB
  • 3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4 16.6 MB
  • 5. AdaBoost/4. AdaBoost Implementation.mp4 16.6 MB
  • 4. Random Forest/2. Random Forest Regressor.mp4 15.6 MB
  • 8. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).mp4 15.5 MB
  • 4. Random Forest/1. Random Forest Algorithm.mp4 15.1 MB
  • 2. Bias-Variance Trade-Off/3. Bias-Variance Decomposition.mp4 15.0 MB
  • 2. Bias-Variance Trade-Off/5. K-Nearest Neighbor and Decision Tree Demo.mp4 14.5 MB
  • 9/1. How to Succeed in this Course (Long Version).mp4 13.6 MB
[磁力链接] 添加时间:2021-05-03 大小:928.3 MB 最近下载:2024-10-26 热度:270

[ FreeCourseWeb.com ] Beyond Basic Programming - Intermediate Python (update).zip

  • [ FreeCourseWeb.com ] Beyond Basic Programming - Intermediate Python (update).zip 927.6 MB
[磁力链接] 添加时间:2024-07-21 大小:927.6 MB 最近下载:2025-09-26 热度:135

[ FreeCourseWeb.com ] Oreilly - Python Application Series- Python Made Simple.zip

  • [ FreeCourseWeb.com ] Oreilly - Python Application Series- Python Made Simple.zip 927.2 MB
[磁力链接] 添加时间:2021-04-01 大小:927.2 MB 最近下载:2025-09-10 热度:371

[DesireCourse.Com] Udemy - Python 3 Image processing in Python with Photoshop CS6

  • [DesireCourse.Com] Udemy - Python 3 Image processing in Python with Photoshop CS6.zip 926.6 MB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2018-09-21 大小:926.6 MB 最近下载:2025-11-06 热度:1147

Python 3 Image processing in Python with Photoshop CS6

  • TutsGalaxy.com.txt 41 Bytes
  • Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt 59 Bytes
  • Read Me.txt 80 Bytes
  • Python 3 Image processing in Python with Photoshop CS6.zip 926.6 MB
[磁力链接] 添加时间:2018-11-13 大小:926.6 MB 最近下载:2025-02-25 热度:40

[ WebToolTip.com ] Udemy - Build a Diabetes Dashboard with Python, Streamlit and ML

  • ~Get Your Files Here !/4 - Machine Learning - Logistic Regression & Decision Tree Classifiers/5 - Logistic Regression in Streamlit.mp4 71.7 MB
  • ~Get Your Files Here !/4 - Machine Learning - Logistic Regression & Decision Tree Classifiers/4 - Explanation of Metrics.mp4 62.0 MB
  • ~Get Your Files Here !/4 - Machine Learning - Logistic Regression & Decision Tree Classifiers/2 - Logistic Regression in Jupyter.mp4 52.7 MB
  • ~Get Your Files Here !/3 - Data Visualization/1 - Histograms and KDEs.mp4 51.2 MB
  • ~Get Your Files Here !/4 - Machine Learning - Logistic Regression & Decision Tree Classifiers/3 - Extra! In-Depth, Explained Logistic Regression in Jupyter.mp4 51.1 MB
  • ~Get Your Files Here !/1 - Introduction/2 - Anaconda Download Instructions.mp4 50.5 MB
  • ~Get Your Files Here !/3 - Data Visualization/6 - Heatmaps and Correlations.mp4 48.8 MB
  • ~Get Your Files Here !/4 - Machine Learning - Logistic Regression & Decision Tree Classifiers/6 - Decision Tree Classifier Theory.mp4 45.8 MB
  • ~Get Your Files Here !/4 - Machine Learning - Logistic Regression & Decision Tree Classifiers/1 - Logistic Regression Theory.mp4 44.1 MB
  • ~Get Your Files Here !/3 - Data Visualization/3 - Adding KDEs to Webapp.mp4 43.8 MB
  • ~Get Your Files Here !/3 - Data Visualization/7 - Data Cleaning.mp4 41.9 MB
  • ~Get Your Files Here !/2 - Extracting Basic Insights/2 - Uploading Basic Commands to App - Part 1.mp4 35.8 MB
  • ~Get Your Files Here !/3 - Data Visualization/5 - Subplots.mp4 35.4 MB
  • ~Get Your Files Here !/3 - Data Visualization/4 - Scatterplots.mp4 35.3 MB
  • ~Get Your Files Here !/4 - Machine Learning - Logistic Regression & Decision Tree Classifiers/8 - Decision Trees in Streamlit.mp4 33.5 MB
  • ~Get Your Files Here !/3 - Data Visualization/8 - Adding Scatterplots, Correlation Heatmap, and Cleaned Data to App.mp4 33.5 MB
  • ~Get Your Files Here !/5 - Extra Overfitting & Deploying the App/1 - Extra App Lecture Deploying your app through GitHub.mp4 33.4 MB
  • ~Get Your Files Here !/4 - Machine Learning - Logistic Regression & Decision Tree Classifiers/7 - Decision Trees in Jupyter.mp4 29.4 MB
  • ~Get Your Files Here !/1 - Introduction/3 - Opening the Files in Jupyter.mp4 25.9 MB
  • ~Get Your Files Here !/2 - Extracting Basic Insights/1 - Coding Basic Commands.mp4 24.9 MB
[磁力链接] 添加时间:2025-10-01 大小:926.4 MB 最近下载:2025-11-12 热度:113

[Tutorialsplanet.NET] Udemy - Apache Spark 2.0 + Python DO Big Data Analytics & ML

  • 6. Machine Learning with Spark/6. train Linear Regression Use Case.mp4 47.0 MB
  • 6. Machine Learning with Spark/11. train Random Forests and PCA Use Case.mp4 42.4 MB
  • 7. APPLY Your Course Challenge Project/3. Final Solution Review - we did it !.mp4 41.7 MB
  • 6. Machine Learning with Spark/13. Naive Bayes Classification.mp4 35.8 MB
  • 3. Spark Programming with Python/5. train Transformations.mp4 35.0 MB
  • 6. Machine Learning with Spark/5. Linear Regression - fit to a line.mp4 34.6 MB
  • 6. Machine Learning with Spark/8. train Decision Trees Use Case.mp4 33.7 MB
  • 6. Machine Learning with Spark/2. Types of Machine Learning.mp4 30.5 MB
  • 2. Introduction to Apache Spark/2. train Setup your Spark Python environment.mp4 29.0 MB
  • 5. Spark Streaming/3. train Spark Streaming.mp4 28.5 MB
  • 4. Spark SQL/2. train SQL Data Frames.mp4 27.3 MB
  • 6. Machine Learning with Spark/12. Text Pre-processing with TF-IDF.mp4 27.2 MB
  • 6. Machine Learning with Spark/3. Analyzing results and Errors.mp4 25.0 MB
  • 6. Machine Learning with Spark/16. train K-Means Clustering Use Case.mp4 23.6 MB
  • 6. Machine Learning with Spark/17. Recommendation Engines.mp4 21.6 MB
  • 6. Machine Learning with Spark/15. K-Means Clustering - grouping similar items.mp4 21.6 MB
  • 6. Machine Learning with Spark/1. Types of Analytics - simple to predictive.mp4 21.5 MB
  • 6. Machine Learning with Spark/14. train Naive Bayes and Text Pre-processing Use Case.mp4 20.8 MB
  • 3. Spark Programming with Python/8. train Actions.mp4 19.6 MB
  • 2. Introduction to Apache Spark/6. Spark Architecture - How it all works..mp4 19.6 MB
[磁力链接] 添加时间:2021-05-18 大小:926.4 MB 最近下载:2025-11-11 热度:1185

[FreeCourseLab.com] Udemy - Apache Spark 2.0 + Python DO Big Data Analytics & ML

  • 6. Machine Learning with Spark/6. train Linear Regression Use Case.mp4 47.0 MB
  • 6. Machine Learning with Spark/11. train Random Forests and PCA Use Case.mp4 42.4 MB
  • 7. APPLY Your Course Challenge Project/3. Final Solution Review - we did it !.mp4 41.7 MB
  • 6. Machine Learning with Spark/13. Naive Bayes Classification.mp4 35.8 MB
  • 3. Spark Programming with Python/5. train Transformations.mp4 35.0 MB
  • 6. Machine Learning with Spark/5. Linear Regression - fit to a line.mp4 34.6 MB
  • 6. Machine Learning with Spark/8. train Decision Trees Use Case.mp4 33.7 MB
  • 6. Machine Learning with Spark/2. Types of Machine Learning.mp4 30.5 MB
  • 2. Introduction to Apache Spark/2. train Setup your Spark Python environment.mp4 29.0 MB
  • 5. Spark Streaming/3. train Spark Streaming.mp4 28.5 MB
  • 4. Spark SQL/2. train SQL Data Frames.mp4 27.3 MB
  • 6. Machine Learning with Spark/12. Text Pre-processing with TF-IDF.mp4 27.2 MB
  • 6. Machine Learning with Spark/3. Analyzing results and Errors.mp4 25.0 MB
  • 6. Machine Learning with Spark/16. train K-Means Clustering Use Case.mp4 23.6 MB
  • 6. Machine Learning with Spark/17. Recommendation Engines.mp4 21.6 MB
  • 6. Machine Learning with Spark/15. K-Means Clustering - grouping similar items.mp4 21.6 MB
  • 6. Machine Learning with Spark/1. Types of Analytics - simple to predictive.mp4 21.5 MB
  • 6. Machine Learning with Spark/14. train Naive Bayes and Text Pre-processing Use Case.mp4 20.8 MB
  • 3. Spark Programming with Python/8. train Actions.mp4 19.6 MB
  • 2. Introduction to Apache Spark/6. Spark Architecture - How it all works..mp4 19.6 MB
[磁力链接] 添加时间:2021-03-31 大小:926.4 MB 最近下载:2025-01-10 热度:152

Boa.vs.Python.2004.WEBRip.x264-ION10

  • Boa.vs.Python.2004.WEBRip.x264-ION10.mp4 925.9 MB
  • Subs/2_English.srt 95.5 kB
  • RARBG_DO_NOT_MIRROR.exe 99 Bytes
  • RARBG.txt 30 Bytes
[磁力链接] 添加时间:2024-12-17 大小:926.0 MB 最近下载:2025-09-19 热度:48

Boa.vs.Python.2004.WEBRip.x264-ION10

  • Boa.vs.Python.2004.WEBRip.x264-ION10.mp4 925.9 MB
[磁力链接] 添加时间:2021-04-11 大小:925.9 MB 最近下载:2025-07-06 热度:25

[FreeCoursesOnline.Me] TalkPython - Visual Studio Code for Python Developers

  • 47. Working with a Git Repository.mp4 67.8 MB
  • 16. Extensions.mp4 54.4 MB
  • 15. Common Shortcuts.mp4 50.3 MB
  • 05. Choosing Your Python Distribution.mp4 49.0 MB
  • 23. Linting and Formatting Code.mp4 40.7 MB
  • 01. Welcome to the Course.mp4 36.6 MB
  • 48. Viewing and Syncing Changes.mp4 32.4 MB
  • 17. Themes.mp4 31.6 MB
  • 46. What is Source Control and Why Do You Need It.mp4 30.8 MB
  • 51. Thank you, Summary and Resources.mp4 29.3 MB
  • 06. Installing VS Code (There Are Choices).mp4 28.1 MB
  • 49. The GitHub PR (Pull Request) Extension.mp4 27.4 MB
  • 02. What You'll Need.mp4 26.8 MB
  • 34. Command-line Debugging Techniques.mp4 25.2 MB
  • 37. Working with Debug Configurations.mp4 20.7 MB
  • 10. Command Palette.mp4 19.1 MB
  • 24. Refactoring Code with VS Code.mp4 19.1 MB
  • 28. Handling multiple Python Versions with pyenv.mp4 18.9 MB
  • 35. Debugging with Visual Studio Code.mp4 18.8 MB
  • 25. Code Snippets.mp4 17.3 MB
[磁力链接] 添加时间:2024-05-11 大小:925.5 MB 最近下载:2025-11-12 热度:3223

TalkPython - Visual Studio Code for Python Developers

  • 47. Working with a Git Repository.mp4 67.8 MB
  • 16. Extensions.mp4 54.4 MB
  • 15. Common Shortcuts.mp4 50.3 MB
  • 05. Choosing Your Python Distribution.mp4 49.0 MB
  • 23. Linting and Formatting Code.mp4 40.7 MB
  • 01. Welcome to the Course.mp4 36.6 MB
  • 48. Viewing and Syncing Changes.mp4 32.4 MB
  • 17. Themes.mp4 31.6 MB
  • 46. What is Source Control and Why Do You Need It.mp4 30.8 MB
  • 51. Thank you, Summary and Resources.mp4 29.3 MB
  • 06. Installing VS Code (There Are Choices).mp4 28.1 MB
  • 49. The GitHub PR (Pull Request) Extension.mp4 27.4 MB
  • 02. What You'll Need.mp4 26.8 MB
  • 34. Command-line Debugging Techniques.mp4 25.2 MB
  • 37. Working with Debug Configurations.mp4 20.7 MB
  • 10. Command Palette.mp4 19.1 MB
  • 24. Refactoring Code with VS Code.mp4 19.1 MB
  • 28. Handling multiple Python Versions with pyenv.mp4 18.9 MB
  • 35. Debugging with Visual Studio Code.mp4 18.8 MB
  • 25. Code Snippets.mp4 17.3 MB
[磁力链接] 添加时间:2025-04-28 大小:925.5 MB 最近下载:2025-11-02 热度:136

[FreeCourseSite.com] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

  • 5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
  • 5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
  • 3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
  • 2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
  • 4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
  • 5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
  • 3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
  • 2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
  • 2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
  • 5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
  • 5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
  • 2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
  • 3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
  • 2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB
[磁力链接] 添加时间:2021-03-17 大小:924.3 MB 最近下载:2025-11-10 热度:1565

[DesireCourse.Net] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

  • 5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
  • 5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
  • 3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
  • 2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
  • 4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
  • 5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
  • 3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
  • 2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
  • 2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
  • 5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
  • 5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
  • 2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
  • 3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
  • 2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB
[磁力链接] 添加时间:2022-01-18 大小:924.3 MB 最近下载:2025-11-09 热度:862

[FreeCoursesOnline.Me] [Coursera] Applied Machine Learning in Python - [FCO]

  • 003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4 48.3 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
  • 004.Module 4 Supervised Machine Learning - Part 2/029. Neural Networks.mp4 43.5 MB
  • 002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 41.9 MB
  • 002.Module 2 Supervised Machine Learning/016. Kernelized Support Vector Machines.mp4 41.0 MB
  • 002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
  • 002.Module 2 Supervised Machine Learning/018. Decision Trees.mp4 39.7 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
  • 003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4 36.2 MB
  • 004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.mp4 34.5 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
  • 002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.mp4 31.5 MB
  • 005.Optional Unsupervised Machine Learning/034. Clustering.mp4 28.5 MB
  • 004.Module 4 Supervised Machine Learning - Part 2/027. Random Forests.mp4 27.7 MB
  • 002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4 23.8 MB
  • 002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4 23.6 MB
  • 004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4 22.4 MB
  • 003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4 21.8 MB
[磁力链接] 添加时间:2021-03-10 大小:924.2 MB 最近下载:2025-11-07 热度:1869

[FreeCoursesOnline.Me] Coursera - Applied Machine Learning in Python

  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.srt 16.5 kB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.srt 19.3 kB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/003. Python Tools for Machine Learning.mp4 13.5 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/003. Python Tools for Machine Learning.srt 6.3 kB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.srt 15.2 kB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.srt 12.3 kB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.srt 26.8 kB
  • 002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
  • 002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.srt 22.7 kB
  • 002.Module 2 Supervised Machine Learning/008. Overfitting and Underfitting.mp4 20.5 MB
  • 002.Module 2 Supervised Machine Learning/008. Overfitting and Underfitting.srt 16.2 kB
  • 002.Module 2 Supervised Machine Learning/009. Supervised Learning Datasets.mp4 11.8 MB
  • 002.Module 2 Supervised Machine Learning/009. Supervised Learning Datasets.srt 6.9 kB
  • 002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4 23.6 MB
  • 002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.srt 17.5 kB
[磁力链接] 添加时间:2018-08-25 大小:923.9 MB 最近下载:2025-11-10 热度:4203

[CourseClub.NET] Coursera - Applied Machine Learning in Python

  • 003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4 48.3 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
  • 004.Module 4 Supervised Machine Learning - Part 2/029. Neural Networks.mp4 43.5 MB
  • 002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 41.9 MB
  • 002.Module 2 Supervised Machine Learning/016. Kernelized Support Vector Machines.mp4 41.0 MB
  • 002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
  • 002.Module 2 Supervised Machine Learning/018. Decision Trees.mp4 39.7 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
  • 003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4 36.2 MB
  • 004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.mp4 34.5 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
  • 002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.mp4 31.5 MB
  • 005.Optional Unsupervised Machine Learning/034. Clustering.mp4 28.5 MB
  • 004.Module 4 Supervised Machine Learning - Part 2/027. Random Forests.mp4 27.7 MB
  • 002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4 23.8 MB
  • 002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4 23.6 MB
  • 004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4 22.4 MB
  • 003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4 21.8 MB
[磁力链接] 添加时间:2021-03-24 大小:923.9 MB 最近下载:2025-11-11 热度:2771

Learn Graphs and Social Network Analytics Using Python

  • Learn Graphs and Social Network Analytics Using Python.tgz 923.8 MB
  • Torrent downloaded from demonoid.pw.txt 46 Bytes
  • Torrent Downloaded From ExtraTorrent.cc.txt 352 Bytes
[磁力链接] 添加时间:2017-02-14 大小:923.8 MB 最近下载:2025-11-12 热度:1595

[ WebToolTip.com ] Udemy - Ai-Powered Api Automation With Python And Jira Integration

  • ~Get Your Files Here !/4 - Generating Test Cases Using AI/8 - Writing Prompts for Test Case Generation.mp4 184.6 MB
  • ~Get Your Files Here !/5 - Running API Tests/12 - Debugging and Validating API TestsPart 1.mp4 130.7 MB
  • ~Get Your Files Here !/3 - Fetching JIRA Story Details/6 - Fetching Story Details.mp4 124.4 MB
  • ~Get Your Files Here !/6 - Orchestration Generating and Serving Reports/14 - Orchestration and Report Generation.mp4 97.9 MB
  • ~Get Your Files Here !/4 - Generating Test Cases Using AI/9 - Saving Test Cases to CSV.mp4 77.4 MB
  • ~Get Your Files Here !/3 - Fetching JIRA Story Details/5 - Setting Up JIRA Integration.mp4 75.6 MB
  • ~Get Your Files Here !/5 - Running API Tests/10 - Writing API Test Scripts.mp4 53.1 MB
  • ~Get Your Files Here !/5 - Running API Tests/11 - Parametrizing Tests.mp4 50.4 MB
  • ~Get Your Files Here !/2 - Understanding the Workflow/4 - Workflow Overview.mp4 31.0 MB
  • ~Get Your Files Here !/4 - Generating Test Cases Using AI/7 - Introduction to AIPowered Test Case Generation.mp4 29.6 MB
  • ~Get Your Files Here !/7 - Automating the Workflow/15 - Running the Entire Workflow.mp4 29.1 MB
  • ~Get Your Files Here !/2 - Understanding the Workflow/3 - Overview of JIRA and API Testing.mp4 18.5 MB
  • ~Get Your Files Here !/1 - Introduction to the Course/2 - Setting Up the Environment.mp4 7.8 MB
  • ~Get Your Files Here !/1 - Introduction to the Course/1 - Welcome to the Course.mp4 6.8 MB
  • ~Get Your Files Here !/5 - Running API Tests/13 - Debugging and Validating API TestsPart 2.mp4 6.2 MB
  • Get Bonus Downloads Here.url 180 Bytes
  • ~Get Your Files Here !/Bonus Resources.txt 70 Bytes
[磁力链接] 添加时间:2025-05-25 大小:923.0 MB 最近下载:2025-11-11 热度:869

[udemy] Python Tutorial Python 100% Hands-On [MyFOM]

  • MyFreeOnlineMovies.co.uk.html 189.0 kB
  • Section 1 Getting Started with Python/Introduction to Python.mp4 12.9 MB
  • Section 1 Getting Started with Python/New Text Document.txt 1.4 kB
  • Section 1 Getting Started with Python/Welcome to this course!.mp4 4.5 MB
  • Section 10 Python and MySQL/My-Sql-Commands.txt 1.6 kB
  • Section 10 Python and MySQL/My-Sql-Linux-Remote-Access.txt 713 Bytes
  • Section 10 Python and MySQL/New Text Document (2).txt 784 Bytes
  • Section 10 Python and MySQL/New Text Document.txt 1.7 kB
  • Section 10 Python and MySQL/Python interacting with MySQL.mp4 20.0 MB
  • Section 10 Python and MySQL/Setting up the MySQL database.mp4 27.8 MB
  • Section 11 Bonus Python Tools/List _ Set _ Dictionary comprehensions.mp4 7.3 MB
  • Section 11 Bonus Python Tools/New Text Document.txt 161 Bytes
  • Section 11 Bonus Python Tools/Python Lambda functions.mp4 9.2 MB
  • Section 11 Bonus Python Tools/Python Map, Filter, Reduce.mp4 8.2 MB
  • Section 11 Bonus Python Tools/Python Threading basics.mp4 9.0 MB
  • Section 11 Bonus Python Tools/Some advice on coding.mp4 12.1 MB
  • Section 12 Python 2.x vs. Python 3.x. Converting your code easily/Converting Python 2.x to Python 3.x code in Linux.mp4 41.8 MB
  • Section 12 Python 2.x vs. Python 3.x. Converting your code easily/Converting Python 2.x to Python 3.x code in Windows.mp4 44.2 MB
  • Section 12 Python 2.x vs. Python 3.x. Converting your code easily/Converting large scripts from Python 2.x to 3.x.mp4 22.3 MB
  • Section 12 Python 2.x vs. Python 3.x. Converting your code easily/New Text Document.txt 972 Bytes
[磁力链接] 添加时间:2017-02-15 大小:922.9 MB 最近下载:2025-09-08 热度:1945


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