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

Creation Time	March 21, 2025, 6:45 a.m.
Last Access Time	Oct. 25, 2025, 10:11 p.m.
File Size	2.3 GB
Keywords	SVM Python Support - Udemy Vector 2019 GigaCourse in com Machines
Total Requests	95
Total Files	115
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2. Machine Learning Basics/1. Introduction to Machine Learning.mp4 123.3 MB
8. Appendix 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4 100.4 MB
3. Maximum Margin Classifier/3. Maximum Margin Classifier.srt 83.0 MB
1. Setting up Python and Python Crash Course/6. Strings in Python Python Basics.mp4 80.0 MB
6. Creating Support Vector Machine Model in Python/9. SVM based Regression Model in Python.mp4 79.8 MB
6. Creating Support Vector Machine Model in Python/13. SVM Based classification model.mp4 78.5 MB
1. Setting up Python and Python Crash Course/7. Lists, Tuples and Directories Python Basics.mp4 73.2 MB
1. Setting up Python and Python Crash Course/3. Opening Jupyter Notebook.mp4 73.0 MB
8. Appendix 1 Data Preprocessing/17. Correlation Analysis.mp4 71.6 MB
6. Creating Support Vector Machine Model in Python/14. Hyper Parameter Tuning.mp4 70.8 MB
8. Appendix 1 Data Preprocessing/8. Outlier Treatment in Python.mp4 70.2 MB
8. Appendix 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 69.4 MB
4. Support Vector Classifier/1. Support Vector classifiers.mp4 64.1 MB
8. Appendix 1 Data Preprocessing/6. EDD in Python.mp4 61.8 MB
1. Setting up Python and Python Crash Course/9. Working with Pandas Library of Python.mp4 56.1 MB
8. Appendix 1 Data Preprocessing/18. Correlation Analysis in Python.mp4 55.3 MB
6. Creating Support Vector Machine Model in Python/11. Classification model - Preprocessing.mp4 54.5 MB
1. Setting up Python and Python Crash Course/8. Working with Numpy Library of Python.mp4 53.8 MB
1. Setting up Python and Python Crash Course/4. Introduction to Jupyter.mp4 50.9 MB
1. Setting up Python and Python Crash Course/10. Working with Seaborn Library of Python.mp4 48.6 MB
6. Creating Support Vector Machine Model in Python/8. Standardizing the data.mp4 47.3 MB
6. Creating Support Vector Machine Model in Python/16. Radial Kernel with Hyperparameter Tuning.mp4 45.7 MB
5. Support Vector Machines/1. Kernel Based Support Vector Machines.mp4 45.7 MB
2. Machine Learning Basics/2. Building a Machine Learning Model.mp4 44.9 MB
8. Appendix 1 Data Preprocessing/13. Variable transformation and deletion in Python.mp4 44.1 MB
6. Creating Support Vector Machine Model in Python/2. The Data set for the Regression problem.mp4 41.7 MB
8. Appendix 1 Data Preprocessing/15. Dummy variable creation Handling qualitative data.mp4 36.8 MB
3. Maximum Margin Classifier/2. The Concept of a Hyperplane.mp4 35.3 MB
6. Creating Support Vector Machine Model in Python/3. Importing data for regression model.mp4 32.2 MB
6. Creating Support Vector Machine Model in Python/5. Dummy Variable creation.mp4 31.7 MB
1. Setting up Python and Python Crash Course/5. Arithmetic operators in Python Python Basics.srt 29.1 MB
8. Appendix 1 Data Preprocessing/4. Importing Data in Python.mp4 27.8 MB
6. Creating Support Vector Machine Model in Python/7. Test-Train Split.mp4 27.5 MB
8. Appendix 1 Data Preprocessing/16. Dummy variable creation in Python.mp4 26.5 MB
3. Maximum Margin Classifier/3. Maximum Margin Classifier.mp4 26.2 MB
8. Appendix 1 Data Preprocessing/9. Missing Value Imputation.mp4 25.0 MB
8. Appendix 1 Data Preprocessing/7. Outlier Treatment.mp4 24.5 MB
8. Appendix 1 Data Preprocessing/5. Univariate analysis and EDD.mp4 24.2 MB
8. Appendix 1 Data Preprocessing/10. Missing Value Imputation in Python.mp4 23.4 MB
6. Creating Support Vector Machine Model in Python/15. Polynomial Kernel with Hyperparameter Tuning.mp4 22.9 MB
8. Appendix 1 Data Preprocessing/1. Gathering Business Knowledge.mp4 22.3 MB
6. Creating Support Vector Machine Model in Python/4. Missing value treatment.mp4 22.3 MB
6. Creating Support Vector Machine Model in Python/10. The Data set for the Classification problem.mp4 22.0 MB
8. Appendix 1 Data Preprocessing/2. Data Exploration.mp4 20.5 MB
8. Appendix 1 Data Preprocessing/14. Non-usable variables.mp4 20.2 MB
6. Creating Support Vector Machine Model in Python/6. X-y Split.mp4 19.4 MB
1. Setting up Python and Python Crash Course/1. Installing Python and Anaconda.mp4 18.6 MB
8. Appendix 1 Data Preprocessing/11. Seasonality in Data.mp4 17.0 MB
1. Setting up Python and Python Crash Course/5. Arithmetic operators in Python Python Basics.mp4 15.9 MB
4. Support Vector Classifier/2. Limitations of Support Vector Classifiers.mp4 13.0 MB
3. Maximum Margin Classifier/4. Limitations of Maximum Margin Classifier.mp4 12.5 MB
6. Creating Support Vector Machine Model in Python/12. Classification model - Standardizing the data.mp4 11.9 MB
3. Maximum Margin Classifier/1. Course flow.mp4 9.8 MB
6. Creating Support Vector Machine Model in Python/1. Regression and Classification Models.mp4 5.2 MB
1. Setting up Python and Python Crash Course/2.1 Files_svm_py.zip 1.8 MB
3. Maximum Margin Classifier/1.1 Resources.zip 1.4 MB
1. Setting up Python and Python Crash Course/9.1 Customer.csv 64.0 KB
8. Appendix 1 Data Preprocessing/4.1 House_Price.csv 53.5 KB
2. Machine Learning Basics/1. Introduction to Machine Learning.srt 18.4 KB
8. Appendix 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.srt 18.3 KB
1. Setting up Python and Python Crash Course/7. Lists, Tuples and Directories Python Basics.srt 17.0 KB
1. Setting up Python and Python Crash Course/6. Strings in Python Python Basics.srt 16.4 KB
8. Appendix 1 Data Preprocessing/8. Outlier Treatment in Python.srt 13.0 KB
1. Setting up Python and Python Crash Course/4. Introduction to Jupyter.srt 12.4 KB
6. Creating Support Vector Machine Model in Python/13. SVM Based classification model.srt 11.5 KB
8. Appendix 1 Data Preprocessing/17. Correlation Analysis.srt 11.0 KB
1. Setting up Python and Python Crash Course/8. Working with Numpy Library of Python.srt 10.5 KB
8. Appendix 1 Data Preprocessing/6. EDD in Python.srt 10.4 KB
6. Creating Support Vector Machine Model in Python/14. Hyper Parameter Tuning.srt 9.8 KB
2. Machine Learning Basics/2. Building a Machine Learning Model.srt 9.7 KB
4. Support Vector Classifier/1. Support Vector classifiers.srt 9.7 KB
6. Creating Support Vector Machine Model in Python/9. SVM based Regression Model in Python.srt 9.7 KB
1. Setting up Python and Python Crash Course/3. Opening Jupyter Notebook.srt 9.1 KB
6. Creating Support Vector Machine Model in Python/11. Classification model - Preprocessing.srt 8.2 KB
1. Setting up Python and Python Crash Course/9. Working with Pandas Library of Python.srt 8.2 KB
8. Appendix 1 Data Preprocessing/3. The Dataset and the Data Dictionary.srt 7.8 KB
8. Appendix 1 Data Preprocessing/13. Variable transformation and deletion in Python.srt 7.5 KB
1. Setting up Python and Python Crash Course/10. Working with Seaborn Library of Python.srt 7.5 KB
6. Creating Support Vector Machine Model in Python/16. Radial Kernel with Hyperparameter Tuning.srt 6.6 KB
8. Appendix 1 Data Preprocessing/18. Correlation Analysis in Python.srt 6.6 KB
5. Support Vector Machines/1. Kernel Based Support Vector Machines.srt 6.4 KB
6. Creating Support Vector Machine Model in Python/8. Standardizing the data.srt 6.2 KB
6. Creating Support Vector Machine Model in Python/7. Test-Train Split.srt 5.8 KB
8. Appendix 1 Data Preprocessing/4. Importing Data in Python.srt 5.6 KB
8. Appendix 1 Data Preprocessing/16. Dummy variable creation in Python.srt 5.5 KB
8. Appendix 1 Data Preprocessing/14. Non-usable variables.srt 5.4 KB
6. Creating Support Vector Machine Model in Python/3. Importing data for regression model.srt 5.3 KB
8. Appendix 1 Data Preprocessing/15. Dummy variable creation Handling qualitative data.srt 4.9 KB
3. Maximum Margin Classifier/2. The Concept of a Hyperplane.srt 4.8 KB
6. Creating Support Vector Machine Model in Python/5. Dummy Variable creation.srt 4.7 KB
8. Appendix 1 Data Preprocessing/7. Outlier Treatment.srt 4.5 KB
6. Creating Support Vector Machine Model in Python/15. Polynomial Kernel with Hyperparameter Tuning.srt 4.1 KB
8. Appendix 1 Data Preprocessing/9. Missing Value Imputation.srt 4.1 KB
8. Appendix 1 Data Preprocessing/10. Missing Value Imputation in Python.srt 4.1 KB
8. Appendix 1 Data Preprocessing/1. Gathering Business Knowledge.srt 3.9 KB
6. Creating Support Vector Machine Model in Python/6. X-y Split.srt 3.8 KB
8. Appendix 1 Data Preprocessing/11. Seasonality in Data.srt 3.8 KB
8. Appendix 1 Data Preprocessing/2. Data Exploration.srt 3.6 KB
8. Appendix 1 Data Preprocessing/5. Univariate analysis and EDD.srt 3.4 KB
6. Creating Support Vector Machine Model in Python/4. Missing value treatment.srt 3.1 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 2.4 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

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

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