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[GigaCourse com] Udemy - Support Vector Machines in Python - SVM in Python 2019
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Torrent Files List
1. Setting up Python and Python Crash Course (Size: 2.26 GB) (Files: 115)
1. Setting up Python and Python Crash Course
1. Installing Python and Anaconda.mp4
1. Installing Python and Anaconda.srt
10. Working with Seaborn Library of Python.mp4
10. Working with Seaborn Library of Python.srt
2. Course resources.html
2.1 Files_svm_py.zip
3. Opening Jupyter Notebook.mp4
3. Opening Jupyter Notebook.srt
4. Introduction to Jupyter.mp4
4. Introduction to Jupyter.srt
5. Arithmetic operators in Python Python Basics.mp4
5. Arithmetic operators in Python Python Basics.srt
6. Strings in Python Python Basics.mp4
6. Strings in Python Python Basics.srt
7. Lists, Tuples and Directories Python Basics.mp4
7. Lists, Tuples and Directories Python Basics.srt
8. Working with Numpy Library of Python.mp4
8. Working with Numpy Library of Python.srt
9. Working with Pandas Library of Python.mp4
9. Working with Pandas Library of Python.srt
9.1 Customer.csv
2. Machine Learning Basics
1. Introduction to Machine Learning.mp4
1. Introduction to Machine Learning.srt
2. Building a Machine Learning Model.mp4
2. Building a Machine Learning Model.srt
3. Maximum Margin Classifier
1. Course flow.mp4
1. Course flow.srt
1.1 Resources.zip
2. The Concept of a Hyperplane.mp4
2. The Concept of a Hyperplane.srt
3. Maximum Margin Classifier.mp4
3. Maximum Margin Classifier.srt
4. Limitations of Maximum Margin Classifier.mp4
4. Limitations of Maximum Margin Classifier.srt
4. Support Vector Classifier
1. Support Vector classifiers.mp4
1. Support Vector classifiers.srt
2. Limitations of Support Vector Classifiers.mp4
2. Limitations of Support Vector Classifiers.srt
3. Quiz.html
5. Support Vector Machines
1. Kernel Based Support Vector Machines.mp4
1. Kernel Based Support Vector Machines.srt
2. Quiz.html
3. Quiz.html
6. Creating Support Vector Machine Model in Python
1. Regression and Classification Models.mp4
1. Regression and Classification Models.srt
10. The Data set for the Classification problem.mp4
10. The Data set for the Classification problem.srt
11. Classification model - Preprocessing.mp4
11. Classification model - Preprocessing.srt
12. Classification model - Standardizing the data.mp4
12. Classification model - Standardizing the data.srt
13. SVM Based classification model.mp4
13. SVM Based classification model.srt
14. Hyper Parameter Tuning.mp4
14. Hyper Parameter Tuning.srt
15. Polynomial Kernel with Hyperparameter Tuning.mp4
15. Polynomial Kernel with Hyperparameter Tuning.srt
16. Radial Kernel with Hyperparameter Tuning.mp4
16. Radial Kernel with Hyperparameter Tuning.srt
2. The Data set for the Regression problem.mp4
2. The Data set for the Regression problem.srt
3. Importing data for regression model.mp4
3. Importing data for regression model.srt
4. Missing value treatment.mp4
4. Missing value treatment.srt
5. Dummy Variable creation.mp4
5. Dummy Variable creation.srt
6. X-y Split.mp4
6. X-y Split.srt
7. Test-Train Split.mp4
7. Test-Train Split.srt
8. Standardizing the data.mp4
8. Standardizing the data.srt
9. SVM based Regression Model in Python.mp4
9. SVM based Regression Model in Python.srt
7. Bonus Section
1. Bonus Lecture.html
8. Appendix 1 Data Preprocessing
1. Gathering Business Knowledge.mp4
1. Gathering Business Knowledge.srt
10. Missing Value Imputation in Python.mp4
10. Missing Value Imputation in Python.srt
11. Seasonality in Data.mp4
11. Seasonality in Data.srt
12. Bi-variate analysis and Variable transformation.mp4
12. Bi-variate analysis and Variable transformation.srt
13. Variable transformation and deletion in Python.mp4
13. Variable transformation and deletion in Python.srt
14. Non-usable variables.mp4
14. Non-usable variables.srt
15. Dummy variable creation Handling qualitative data.mp4
15. Dummy variable creation Handling qualitative data.srt
16. Dummy variable creation in Python.mp4
16. Dummy variable creation in Python.srt
17. Correlation Analysis.mp4
17. Correlation Analysis.srt
18. Correlation Analysis in Python.mp4
18. Correlation Analysis in Python.srt
2. Data Exploration.mp4
2. Data Exploration.srt
3. The Dataset and the Data Dictionary.mp4
3. The Dataset and the Data Dictionary.srt
4. Importing Data in Python.mp4
4. Importing Data in Python.srt
4.1 House_Price.csv
5. Univariate analysis and EDD.mp4
5. Univariate analysis and EDD.srt
6. EDD in Python.mp4
6. EDD in Python.srt
7. Outlier Treatment.mp4
7. Outlier Treatment.srt
8. Outlier Treatment in Python.mp4
8. Outlier Treatment in Python.srt
9. Missing Value Imputation.mp4
9. Missing Value Imputation.srt
Readme.txt
[GigaCourse.com].url
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