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

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

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2.2 GB

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Files:

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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