Udemy Support Vector Machines in Python SVM in Python 2019 Course Drive

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Torrent Hash :	3E96371BEA7E2CC8BF750C2428A7ED3800997BB9
Torrent Added :	at Oct. 28, 2023, 5:27 a.m. in Other
Torrent Size :	2.2 GB

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Torrent File Content (3 files)

Udemy Support Vector Machines in Python SVM in Python 2019 Course Drive
011 Introduction to Machine Learning.mp4 -

123.2 MB

Visit Coursedrive.org.url -

124 bytes

ReadMe.txt -

220 bytes

Visit Coursedrive.org.url -

124 bytes

001 Installing Python and Anaconda-en.srt -

2.6 KB

001 Installing Python and Anaconda.mp4 -

18.6 MB

002 Course resources.html -

952 bytes

002 Files-svm-py.zip -

1.8 MB

003 Opening Jupyter Notebook-en.srt -

9.1 KB

003 Opening Jupyter Notebook.mp4 -

73.0 MB

004 Introduction to Jupyter-en.srt -

12.4 KB

004 Introduction to Jupyter.mp4 -

50.9 MB

005 Arithmetic operators in Python Python Basics-en.srt -

4.0 KB

005 Arithmetic operators in Python Python Basics.mp4 -

15.9 MB

006 Strings in Python Python Basics-en.srt -

16.4 KB

006 Strings in Python Python Basics.mp4 -

80.0 MB

007 Lists Tuples and Directories Python Basics-en.srt -

17.0 KB

007 Lists Tuples and Directories Python Basics.mp4 -

73.2 MB

008 Working with Numpy Library of Python-en.srt -

10.5 KB

008 Working with Numpy Library of Python.mp4 -

53.8 MB

009 Customer.csv -

64.0 KB

009 Working with Pandas Library of Python-en.srt -

8.2 KB

009 Working with Pandas Library of Python.mp4 -

56.1 MB

010 Working with Seaborn Library of Python-en.srt -

7.5 KB

010 Working with Seaborn Library of Python.mp4 -

48.6 MB

011 Introduction to Machine Learning-en.srt -

18.4 KB

ReadMe.txt -

220 bytes

012 Building a Machine Learning Model-en.srt -

9.7 KB

012 Building a Machine Learning Model.mp4 -

44.9 MB

013 Course flow-en.srt -

1.7 KB

013 Course flow.mp4 -

9.8 MB

013 Resources.zip -

1.4 MB

014 The Concept of a Hyperplane-en.srt -

4.8 KB

014 The Concept of a Hyperplane.mp4 -

35.3 MB

015 Maximum Margin Classifier-en.srt -

3.2 KB

015 Maximum Margin Classifier.mp4 -

26.2 MB

016 Limitations of Maximum Margin Classifier-en.srt -

2.4 KB

016 Limitations of Maximum Margin Classifier.mp4 -

12.5 MB

017 Support Vector classifiers-en.srt -

9.7 KB

017 Support Vector classifiers.mp4 -

64.1 MB

018 Limitations of Support Vector Classifiers-en.srt -

1.6 KB

018 Limitations of Support Vector Classifiers.mp4 -

13.0 MB

019 Kernel Based Support Vector Machines-en.srt -

6.4 KB

019 Kernel Based Support Vector Machines.mp4 -

45.7 MB

020 Regression and Classification Models-en.srt -

811 bytes

020 Regression and Classification Models.mp4 -

5.2 MB

021 The Data set for the Regression problem-en.srt -

3.0 KB

021 The Data set for the Regression problem.mp4 -

41.7 MB

022 Importing data for regression model-en.srt -

5.3 KB

022 Importing data for regression model.mp4 -

32.2 MB

023 Missing value treatment-en.srt -

3.1 KB

023 Missing value treatment.mp4 -

22.3 MB

024 Dummy Variable creation-en.srt -

4.7 KB

024 Dummy Variable creation.mp4 -

31.7 MB

025 X-y Split-en.srt -

3.8 KB

025 X-y Split.mp4 -

19.3 MB

026 Test-Train Split-en.srt -

5.8 KB

026 Test-Train Split.mp4 -

27.5 MB

027 Standardizing the data-en.srt -

6.2 KB

027 Standardizing the data.mp4 -

47.3 MB

028 SVM based Regression Model in Python-en.srt -

9.7 KB

028 SVM based Regression Model in Python.mp4 -

79.8 MB

029 The Data set for the Classification problem-en.srt -

1.8 KB

029 The Data set for the Classification problem.mp4 -

22.0 MB

030 Classification model - Preprocessing-en.srt -

8.2 KB

030 Classification model - Preprocessing.mp4 -

54.5 MB

031 Classification model - Standardizing the data-en.srt -

1.8 KB

031 Classification model - Standardizing the data.mp4 -

11.9 MB

032 SVM Based classification model-en.srt -

11.5 KB

032 SVM Based classification model.mp4 -

78.5 MB

033 Hyper Parameter Tuning-en.srt -

9.8 KB

033 Hyper Parameter Tuning.mp4 -

70.8 MB

034 Polynomial Kernel with Hyperparameter Tuning-en.srt -

4.1 KB

034 Polynomial Kernel with Hyperparameter Tuning.mp4 -

22.9 MB

035 Radial Kernel with Hyperparameter Tuning-en.srt -

6.6 KB

035 Radial Kernel with Hyperparameter Tuning.mp4 -

45.7 MB

036 Bonus Lecture.html -

2.4 KB

037 Gathering Business Knowledge-en.srt -

3.9 KB

037 Gathering Business Knowledge.mp4 -

22.3 MB

038 Data Exploration-en.srt -

3.6 KB

038 Data Exploration.mp4 -

20.5 MB

039 The Dataset and the Data Dictionary-en.srt -

7.8 KB

039 The Dataset and the Data Dictionary.mp4 -

69.4 MB

040 Importing Data in Python-en.srt -

5.6 KB

040 Importing Data in Python.mp4 -

27.8 MB

041 Univariate analysis and EDD-en.srt -

3.4 KB

041 Univariate analysis and EDD.mp4 -

24.2 MB

042 EDD in Python-en.srt -

10.4 KB

042 EDD in Python.mp4 -

61.8 MB

043 Outlier Treatment-en.srt -

4.5 KB

043 Outlier Treatment.mp4 -

24.5 MB

044 Outlier Treatment in Python-en.srt -

13.0 KB

044 Outlier Treatment in Python.mp4 -

70.2 MB

045 Missing Value Imputation-en.srt -

4.1 KB

045 Missing Value Imputation.mp4 -

25.0 MB

046 Missing Value Imputation in Python-en.srt -

4.1 KB

046 Missing Value Imputation in Python.mp4 -

23.4 MB

047 Seasonality in Data-en.srt -

3.8 KB

047 Seasonality in Data.mp4 -

17.0 MB

048 Bi-variate analysis and Variable transformation-en.srt -

18.3 KB

048 Bi-variate analysis and Variable transformation.mp4 -

100.4 MB

049 Variable transformation and deletion in Python-en.srt -

7.5 KB

049 Variable transformation and deletion in Python.mp4 -

44.1 MB

050 Non-usable variables-en.srt -

5.4 KB

050 Non-usable variables.mp4 -

20.2 MB

051 Dummy variable creation Handling qualitative data-en.srt -

4.9 KB

051 Dummy variable creation Handling qualitative data.mp4 -

36.8 MB

052 Dummy variable creation in Python-en.srt -

5.5 KB

052 Dummy variable creation in Python.mp4 -

26.5 MB

053 Correlation Analysis-en.srt -

11.0 KB

053 Correlation Analysis.mp4 -

71.6 MB

054 Correlation Analysis in Python-en.srt -

6.6 KB

054 Correlation Analysis in Python.mp4 -

55.3 MB

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