[GigaCourse.com] Udemy - Support Vector Machines in Python - SVM in Python 2019

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[GigaCourse.com] Udemy - Support Vector Machines in Python - SVM in Python 2019

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种子哈希：a776e8269fee689e79c72ba5c8492b0a47240553
文件大小： 2.26G
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收录时间：2020-04-28
最近下载：2025-09-26

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文件列表

  • 2. Machine Learning Basics/1. Introduction to Machine Learning.mp4 129.2 MB
  • 8. Appendix 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4 105.3 MB
  • 3. Maximum Margin Classifier/3. Maximum Margin Classifier.srt 87.0 MB
  • 1. Setting up Python and Python Crash Course/6. Strings in Python Python Basics.mp4 83.9 MB
  • 6. Creating Support Vector Machine Model in Python/9. SVM based Regression Model in Python.mp4 83.7 MB
  • 6. Creating Support Vector Machine Model in Python/13. SVM Based classification model.mp4 82.3 MB
  • 1. Setting up Python and Python Crash Course/7. Lists, Tuples and Directories Python Basics.mp4 76.7 MB
  • 1. Setting up Python and Python Crash Course/3. Opening Jupyter Notebook.mp4 76.6 MB
  • 8. Appendix 1 Data Preprocessing/17. Correlation Analysis.mp4 75.1 MB
  • 6. Creating Support Vector Machine Model in Python/14. Hyper Parameter Tuning.mp4 74.2 MB
  • 8. Appendix 1 Data Preprocessing/8. Outlier Treatment in Python.mp4 73.6 MB
  • 8. Appendix 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.8 MB
  • 4. Support Vector Classifier/1. Support Vector classifiers.mp4 67.2 MB
  • 8. Appendix 1 Data Preprocessing/6. EDD in Python.mp4 64.8 MB
  • 1. Setting up Python and Python Crash Course/9. Working with Pandas Library of Python.mp4 58.9 MB
  • 8. Appendix 1 Data Preprocessing/18. Correlation Analysis in Python.mp4 58.0 MB
  • 6. Creating Support Vector Machine Model in Python/11. Classification model - Preprocessing.mp4 57.1 MB
  • 1. Setting up Python and Python Crash Course/8. Working with Numpy Library of Python.mp4 56.4 MB
  • 1. Setting up Python and Python Crash Course/4. Introduction to Jupyter.mp4 53.4 MB
  • 1. Setting up Python and Python Crash Course/10. Working with Seaborn Library of Python.mp4 51.0 MB
  • 6. Creating Support Vector Machine Model in Python/8. Standardizing the data.mp4 49.6 MB
  • 6. Creating Support Vector Machine Model in Python/16. Radial Kernel with Hyperparameter Tuning.mp4 47.9 MB
  • 5. Support Vector Machines/1. Kernel Based Support Vector Machines.mp4 47.9 MB
  • 2. Machine Learning Basics/2. Building a Machine Learning Model.mp4 47.1 MB
  • 8. Appendix 1 Data Preprocessing/13. Variable transformation and deletion in Python.mp4 46.3 MB
  • 6. Creating Support Vector Machine Model in Python/2. The Data set for the Regression problem.mp4 43.8 MB
  • 8. Appendix 1 Data Preprocessing/15. Dummy variable creation Handling qualitative data.mp4 38.6 MB
  • 3. Maximum Margin Classifier/2. The Concept of a Hyperplane.mp4 37.0 MB
  • 6. Creating Support Vector Machine Model in Python/3. Importing data for regression model.mp4 33.7 MB
  • 6. Creating Support Vector Machine Model in Python/5. Dummy Variable creation.mp4 33.3 MB
  • 1. Setting up Python and Python Crash Course/5. Arithmetic operators in Python Python Basics.srt 30.5 MB
  • 8. Appendix 1 Data Preprocessing/4. Importing Data in Python.mp4 29.2 MB
  • 6. Creating Support Vector Machine Model in Python/7. Test-Train Split.mp4 28.8 MB
  • 8. Appendix 1 Data Preprocessing/16. Dummy variable creation in Python.mp4 27.8 MB
  • 3. Maximum Margin Classifier/3. Maximum Margin Classifier.mp4 27.4 MB
  • 8. Appendix 1 Data Preprocessing/9. Missing Value Imputation.mp4 26.2 MB
  • 8. Appendix 1 Data Preprocessing/7. Outlier Treatment.mp4 25.7 MB
  • 8. Appendix 1 Data Preprocessing/5. Univariate analysis and EDD.mp4 25.4 MB
  • 8. Appendix 1 Data Preprocessing/10. Missing Value Imputation in Python.mp4 24.5 MB
  • 6. Creating Support Vector Machine Model in Python/15. Polynomial Kernel with Hyperparameter Tuning.mp4 24.1 MB
  • 8. Appendix 1 Data Preprocessing/1. Gathering Business Knowledge.mp4 23.4 MB
  • 6. Creating Support Vector Machine Model in Python/4. Missing value treatment.mp4 23.4 MB
  • 6. Creating Support Vector Machine Model in Python/10. The Data set for the Classification problem.mp4 23.1 MB
  • 8. Appendix 1 Data Preprocessing/2. Data Exploration.mp4 21.5 MB
  • 8. Appendix 1 Data Preprocessing/14. Non-usable variables.mp4 21.2 MB
  • 6. Creating Support Vector Machine Model in Python/6. X-y Split.mp4 20.3 MB
  • 1. Setting up Python and Python Crash Course/1. Installing Python and Anaconda.mp4 19.5 MB
  • 8. Appendix 1 Data Preprocessing/11. Seasonality in Data.mp4 17.9 MB
  • 1. Setting up Python and Python Crash Course/5. Arithmetic operators in Python Python Basics.mp4 16.7 MB
  • 4. Support Vector Classifier/2. Limitations of Support Vector Classifiers.mp4 13.6 MB
  • 3. Maximum Margin Classifier/4. Limitations of Maximum Margin Classifier.mp4 13.1 MB
  • 6. Creating Support Vector Machine Model in Python/12. Classification model - Standardizing the data.mp4 12.5 MB
  • 3. Maximum Margin Classifier/1. Course flow.mp4 10.3 MB
  • 6. Creating Support Vector Machine Model in Python/1. Regression and Classification Models.mp4 5.5 MB
  • 1. Setting up Python and Python Crash Course/2.1 Files_svm_py.zip 1.9 MB
  • 3. Maximum Margin Classifier/1.1 Resources.zip 1.5 MB
  • 1. Setting up Python and Python Crash Course/9.1 Customer.csv 65.6 kB
  • 8. Appendix 1 Data Preprocessing/4.1 House_Price.csv 54.8 kB
  • 2. Machine Learning Basics/1. Introduction to Machine Learning.srt 18.9 kB
  • 8. Appendix 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.srt 18.7 kB
  • 1. Setting up Python and Python Crash Course/7. Lists, Tuples and Directories Python Basics.srt 17.4 kB
  • 1. Setting up Python and Python Crash Course/6. Strings in Python Python Basics.srt 16.8 kB
  • 8. Appendix 1 Data Preprocessing/8. Outlier Treatment in Python.srt 13.3 kB
  • 1. Setting up Python and Python Crash Course/4. Introduction to Jupyter.srt 12.7 kB
  • 6. Creating Support Vector Machine Model in Python/13. SVM Based classification model.srt 11.8 kB
  • 8. Appendix 1 Data Preprocessing/17. Correlation Analysis.srt 11.3 kB
  • 1. Setting up Python and Python Crash Course/8. Working with Numpy Library of Python.srt 10.7 kB
  • 8. Appendix 1 Data Preprocessing/6. EDD in Python.srt 10.6 kB
  • 6. Creating Support Vector Machine Model in Python/14. Hyper Parameter Tuning.srt 10.1 kB
  • 2. Machine Learning Basics/2. Building a Machine Learning Model.srt 9.9 kB
  • 4. Support Vector Classifier/1. Support Vector classifiers.srt 9.9 kB
  • 6. Creating Support Vector Machine Model in Python/9. SVM based Regression Model in Python.srt 9.9 kB
  • 1. Setting up Python and Python Crash Course/3. Opening Jupyter Notebook.srt 9.4 kB
  • 6. Creating Support Vector Machine Model in Python/11. Classification model - Preprocessing.srt 8.4 kB
  • 1. Setting up Python and Python Crash Course/9. Working with Pandas Library of Python.srt 8.3 kB
  • 8. Appendix 1 Data Preprocessing/3. The Dataset and the Data Dictionary.srt 8.0 kB
  • 8. Appendix 1 Data Preprocessing/13. Variable transformation and deletion in Python.srt 7.7 kB
  • 1. Setting up Python and Python Crash Course/10. Working with Seaborn Library of Python.srt 7.7 kB
  • 6. Creating Support Vector Machine Model in Python/16. Radial Kernel with Hyperparameter Tuning.srt 6.7 kB
  • 8. Appendix 1 Data Preprocessing/18. Correlation Analysis in Python.srt 6.7 kB
  • 5. Support Vector Machines/1. Kernel Based Support Vector Machines.srt 6.5 kB
  • 6. Creating Support Vector Machine Model in Python/8. Standardizing the data.srt 6.4 kB
  • 6. Creating Support Vector Machine Model in Python/7. Test-Train Split.srt 5.9 kB
  • 8. Appendix 1 Data Preprocessing/4. Importing Data in Python.srt 5.7 kB
  • 8. Appendix 1 Data Preprocessing/16. Dummy variable creation in Python.srt 5.6 kB
  • 8. Appendix 1 Data Preprocessing/14. Non-usable variables.srt 5.5 kB
  • 6. Creating Support Vector Machine Model in Python/3. Importing data for regression model.srt 5.4 kB
  • 8. Appendix 1 Data Preprocessing/15. Dummy variable creation Handling qualitative data.srt 5.0 kB
  • 3. Maximum Margin Classifier/2. The Concept of a Hyperplane.srt 5.0 kB
  • 6. Creating Support Vector Machine Model in Python/5. Dummy Variable creation.srt 4.8 kB
  • 8. Appendix 1 Data Preprocessing/7. Outlier Treatment.srt 4.6 kB
  • 6. Creating Support Vector Machine Model in Python/15. Polynomial Kernel with Hyperparameter Tuning.srt 4.2 kB
  • 8. Appendix 1 Data Preprocessing/9. Missing Value Imputation.srt 4.2 kB
  • 8. Appendix 1 Data Preprocessing/10. Missing Value Imputation in Python.srt 4.2 kB
  • 8. Appendix 1 Data Preprocessing/1. Gathering Business Knowledge.srt 4.0 kB
  • 6. Creating Support Vector Machine Model in Python/6. X-y Split.srt 3.9 kB
  • 8. Appendix 1 Data Preprocessing/11. Seasonality in Data.srt 3.9 kB
  • 8. Appendix 1 Data Preprocessing/2. Data Exploration.srt 3.7 kB
  • 8. Appendix 1 Data Preprocessing/5. Univariate analysis and EDD.srt 3.5 kB
  • 6. Creating Support Vector Machine Model in Python/4. Missing value treatment.srt 3.2 kB
  • 6. Creating Support Vector Machine Model in Python/2. The Data set for the Regression problem.srt 3.0 kB
  • 1. Setting up Python and Python Crash Course/1. Installing Python and Anaconda.srt 2.6 kB
  • 3. Maximum Margin Classifier/4. Limitations of Maximum Margin Classifier.srt 2.5 kB
  • 6. Creating Support Vector Machine Model in Python/10. The Data set for the Classification problem.srt 1.8 kB
  • 6. Creating Support Vector Machine Model in Python/12. Classification model - Standardizing the data.srt 1.8 kB
  • 3. Maximum Margin Classifier/1. Course flow.srt 1.7 kB
  • 4. Support Vector Classifier/2. Limitations of Support Vector Classifiers.srt 1.6 kB
  • 7. Bonus Section/1. Bonus Lecture.html 1.6 kB
  • Readme.txt 962 Bytes
  • 6. Creating Support Vector Machine Model in Python/1. Regression and Classification Models.srt 811 Bytes
  • 4. Support Vector Classifier/3. Quiz.html 166 Bytes
  • 5. Support Vector Machines/2. Quiz.html 166 Bytes
  • 5. Support Vector Machines/3. Quiz.html 166 Bytes
  • 1. Setting up Python and Python Crash Course/2. Course resources.html 95 Bytes
  • [GigaCourse.com].url 49 Bytes

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