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种子名称：
[GigaCourse.com] Udemy - Support Vector Machines in Python - SVM in Python 2019
文件类型：
视频
文件数目：
52个文件
文件大小：
2.15 GB
收录时间：
2022-8-7 02:28
已经下载：
3次
资源热度：
210
最近下载：
2025-1-5 08:55
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[GigaCourse.com] Udemy - Support Vector Machines in Python - SVM in Python 2019.torrent
1. Setting up Python and Python Crash Course/1. Installing Python and Anaconda.mp418.56MB
1. Setting up Python and Python Crash Course/10. Working with Seaborn Library of Python.mp448.63MB
1. Setting up Python and Python Crash Course/3. Opening Jupyter Notebook.mp473.04MB
1. Setting up Python and Python Crash Course/4. Introduction to Jupyter.mp450.9MB
1. Setting up Python and Python Crash Course/5. Arithmetic operators in Python Python Basics.mp415.9MB
1. Setting up Python and Python Crash Course/6. Strings in Python Python Basics.mp480.04MB
1. Setting up Python and Python Crash Course/7. Lists, Tuples and Directories Python Basics.mp473.16MB
1. Setting up Python and Python Crash Course/8. Working with Numpy Library of Python.mp453.76MB
1. Setting up Python and Python Crash Course/9. Working with Pandas Library of Python.mp456.13MB
2. Machine Learning Basics/1. Introduction to Machine Learning.mp4123.26MB
2. Machine Learning Basics/2. Building a Machine Learning Model.mp444.92MB
3. Maximum Margin Classifier/1. Course flow.mp49.78MB
3. Maximum Margin Classifier/2. The Concept of a Hyperplane.mp435.33MB
3. Maximum Margin Classifier/3. Maximum Margin Classifier.mp426.18MB
3. Maximum Margin Classifier/4. Limitations of Maximum Margin Classifier.mp412.52MB
4. Support Vector Classifier/1. Support Vector classifiers.mp464.11MB
4. Support Vector Classifier/2. Limitations of Support Vector Classifiers.mp412.96MB
5. Support Vector Machines/1. Kernel Based Support Vector Machines.mp445.7MB
6. Creating Support Vector Machine Model in Python/1. Regression and Classification Models.mp45.21MB
6. Creating Support Vector Machine Model in Python/10. The Data set for the Classification problem.mp421.99MB
6. Creating Support Vector Machine Model in Python/11. Classification model - Preprocessing.mp454.47MB
6. Creating Support Vector Machine Model in Python/12. Classification model - Standardizing the data.mp411.88MB
6. Creating Support Vector Machine Model in Python/13. SVM Based classification model.mp478.52MB
6. Creating Support Vector Machine Model in Python/14. Hyper Parameter Tuning.mp470.8MB
6. Creating Support Vector Machine Model in Python/15. Polynomial Kernel with Hyperparameter Tuning.mp422.94MB
6. Creating Support Vector Machine Model in Python/16. Radial Kernel with Hyperparameter Tuning.mp445.73MB
6. Creating Support Vector Machine Model in Python/2. The Data set for the Regression problem.mp441.72MB
6. Creating Support Vector Machine Model in Python/3. Importing data for regression model.mp432.16MB
6. Creating Support Vector Machine Model in Python/4. Missing value treatment.mp422.3MB
6. Creating Support Vector Machine Model in Python/5. Dummy Variable creation.mp431.72MB
6. Creating Support Vector Machine Model in Python/6. X-y Split.mp419.36MB
6. Creating Support Vector Machine Model in Python/7. Test-Train Split.mp427.48MB
6. Creating Support Vector Machine Model in Python/8. Standardizing the data.mp447.28MB
6. Creating Support Vector Machine Model in Python/9. SVM based Regression Model in Python.mp479.83MB
8. Appendix 1 Data Preprocessing/1. Gathering Business Knowledge.mp422.31MB
8. Appendix 1 Data Preprocessing/10. Missing Value Imputation in Python.mp423.4MB
8. Appendix 1 Data Preprocessing/11. Seasonality in Data.mp417.03MB
8. Appendix 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4100.44MB
8. Appendix 1 Data Preprocessing/13. Variable transformation and deletion in Python.mp444.11MB
8. Appendix 1 Data Preprocessing/14. Non-usable variables.mp420.24MB
8. Appendix 1 Data Preprocessing/15. Dummy variable creation Handling qualitative data.mp436.83MB
8. Appendix 1 Data Preprocessing/16. Dummy variable creation in Python.mp426.55MB
8. Appendix 1 Data Preprocessing/17. Correlation Analysis.mp471.62MB
8. Appendix 1 Data Preprocessing/18. Correlation Analysis in Python.mp455.32MB
8. Appendix 1 Data Preprocessing/2. Data Exploration.mp420.5MB
8. Appendix 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp469.4MB
8. Appendix 1 Data Preprocessing/4. Importing Data in Python.mp427.81MB
8. Appendix 1 Data Preprocessing/5. Univariate analysis and EDD.mp424.21MB
8. Appendix 1 Data Preprocessing/6. EDD in Python.mp461.78MB
8. Appendix 1 Data Preprocessing/7. Outlier Treatment.mp424.5MB
8. Appendix 1 Data Preprocessing/8. Outlier Treatment in Python.mp470.23MB
8. Appendix 1 Data Preprocessing/9. Missing Value Imputation.mp424.97MB
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