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

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Category Other
Added Saturday 28th October 2023 05:27:29 AM (3 years ago)
Size2.2 GB
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Torrent Files (113)
FilenameSize
011 Introduction to Machine Learning.mp4123.2 MB
Visit Coursedrive.org.url124 bytes
ReadMe.txt220 bytes
Visit Coursedrive.org.url124 bytes
001 Installing Python and Anaconda-en.srt2.6 KB
001 Installing Python and Anaconda.mp418.6 MB
002 Course resources.html952 bytes
002 Files-svm-py.zip1.8 MB
003 Opening Jupyter Notebook-en.srt9.1 KB
003 Opening Jupyter Notebook.mp473.0 MB
004 Introduction to Jupyter-en.srt12.4 KB
004 Introduction to Jupyter.mp450.9 MB
005 Arithmetic operators in Python Python Basics-en.srt4.0 KB
005 Arithmetic operators in Python Python Basics.mp415.9 MB
006 Strings in Python Python Basics-en.srt16.4 KB
006 Strings in Python Python Basics.mp480.0 MB
007 Lists Tuples and Directories Python Basics-en.srt17.0 KB
007 Lists Tuples and Directories Python Basics.mp473.2 MB
008 Working with Numpy Library of Python-en.srt10.5 KB
008 Working with Numpy Library of Python.mp453.8 MB
009 Customer.csv64.0 KB
009 Working with Pandas Library of Python-en.srt8.2 KB
009 Working with Pandas Library of Python.mp456.1 MB
010 Working with Seaborn Library of Python-en.srt7.5 KB
010 Working with Seaborn Library of Python.mp448.6 MB
011 Introduction to Machine Learning-en.srt18.4 KB
ReadMe.txt220 bytes
012 Building a Machine Learning Model-en.srt9.7 KB
012 Building a Machine Learning Model.mp444.9 MB
013 Course flow-en.srt1.7 KB
013 Course flow.mp49.8 MB
013 Resources.zip1.4 MB
014 The Concept of a Hyperplane-en.srt4.8 KB
014 The Concept of a Hyperplane.mp435.3 MB
015 Maximum Margin Classifier-en.srt3.2 KB
015 Maximum Margin Classifier.mp426.2 MB
016 Limitations of Maximum Margin Classifier-en.srt2.4 KB
016 Limitations of Maximum Margin Classifier.mp412.5 MB
017 Support Vector classifiers-en.srt9.7 KB
017 Support Vector classifiers.mp464.1 MB
018 Limitations of Support Vector Classifiers-en.srt1.6 KB
018 Limitations of Support Vector Classifiers.mp413.0 MB
019 Kernel Based Support Vector Machines-en.srt6.4 KB
019 Kernel Based Support Vector Machines.mp445.7 MB
020 Regression and Classification Models-en.srt811 bytes
020 Regression and Classification Models.mp45.2 MB
021 The Data set for the Regression problem-en.srt3.0 KB
021 The Data set for the Regression problem.mp441.7 MB
022 Importing data for regression model-en.srt5.3 KB
022 Importing data for regression model.mp432.2 MB
023 Missing value treatment-en.srt3.1 KB
023 Missing value treatment.mp422.3 MB
024 Dummy Variable creation-en.srt4.7 KB
024 Dummy Variable creation.mp431.7 MB
025 X-y Split-en.srt3.8 KB
025 X-y Split.mp419.3 MB
026 Test-Train Split-en.srt5.8 KB
026 Test-Train Split.mp427.5 MB
027 Standardizing the data-en.srt6.2 KB
027 Standardizing the data.mp447.3 MB
028 SVM based Regression Model in Python-en.srt9.7 KB
028 SVM based Regression Model in Python.mp479.8 MB
029 The Data set for the Classification problem-en.srt1.8 KB
029 The Data set for the Classification problem.mp422.0 MB
030 Classification model - Preprocessing-en.srt8.2 KB
030 Classification model - Preprocessing.mp454.5 MB
031 Classification model - Standardizing the data-en.srt1.8 KB
031 Classification model - Standardizing the data.mp411.9 MB
032 SVM Based classification model-en.srt11.5 KB
032 SVM Based classification model.mp478.5 MB
033 Hyper Parameter Tuning-en.srt9.8 KB
033 Hyper Parameter Tuning.mp470.8 MB
034 Polynomial Kernel with Hyperparameter Tuning-en.srt4.1 KB
034 Polynomial Kernel with Hyperparameter Tuning.mp422.9 MB
035 Radial Kernel with Hyperparameter Tuning-en.srt6.6 KB
035 Radial Kernel with Hyperparameter Tuning.mp445.7 MB
036 Bonus Lecture.html2.4 KB
037 Gathering Business Knowledge-en.srt3.9 KB
037 Gathering Business Knowledge.mp422.3 MB
038 Data Exploration-en.srt3.6 KB
038 Data Exploration.mp420.5 MB
039 The Dataset and the Data Dictionary-en.srt7.8 KB
039 The Dataset and the Data Dictionary.mp469.4 MB
040 Importing Data in Python-en.srt5.6 KB
040 Importing Data in Python.mp427.8 MB
041 Univariate analysis and EDD-en.srt3.4 KB
041 Univariate analysis and EDD.mp424.2 MB
042 EDD in Python-en.srt10.4 KB
042 EDD in Python.mp461.8 MB
043 Outlier Treatment-en.srt4.5 KB
043 Outlier Treatment.mp424.5 MB
044 Outlier Treatment in Python-en.srt13.0 KB
044 Outlier Treatment in Python.mp470.2 MB
045 Missing Value Imputation-en.srt4.1 KB
045 Missing Value Imputation.mp425.0 MB
046 Missing Value Imputation in Python-en.srt4.1 KB
046 Missing Value Imputation in Python.mp423.4 MB
047 Seasonality in Data-en.srt3.8 KB
047 Seasonality in Data.mp417.0 MB
048 Bi-variate analysis and Variable transformation-en.srt18.3 KB
048 Bi-variate analysis and Variable transformation.mp4100.4 MB
049 Variable transformation and deletion in Python-en.srt7.5 KB
049 Variable transformation and deletion in Python.mp444.1 MB
050 Non-usable variables-en.srt5.4 KB
050 Non-usable variables.mp420.2 MB
051 Dummy variable creation Handling qualitative data-en.srt4.9 KB
051 Dummy variable creation Handling qualitative data.mp436.8 MB
052 Dummy variable creation in Python-en.srt5.5 KB
052 Dummy variable creation in Python.mp426.5 MB
053 Correlation Analysis-en.srt11.0 KB
053 Correlation Analysis.mp471.6 MB
054 Correlation Analysis in Python-en.srt6.6 KB
054 Correlation Analysis in Python.mp455.3 MB
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