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001 Installing Python and Anaconda-en.srt
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001 Installing Python and Anaconda.mp4
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18.6 MB
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002 Course resources.html
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002 Files-svm-py.zip
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003 Opening Jupyter Notebook-en.srt
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003 Opening Jupyter Notebook.mp4
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004 Introduction to Jupyter-en.srt
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004 Introduction to Jupyter.mp4
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005 Arithmetic operators in Python Python Basics-en.srt
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4 KB
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005 Arithmetic operators in Python Python Basics.mp4
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006 Strings in Python Python Basics-en.srt
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006 Strings in Python Python Basics.mp4
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80 MB
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007 Lists Tuples and Directories Python Basics-en.srt
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17 KB
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007 Lists Tuples and Directories Python Basics.mp4
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008 Working with Numpy Library of Python-en.srt
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008 Working with Numpy Library of Python.mp4
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009 Customer.csv
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009 Working with Pandas Library of Python-en.srt
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009 Working with Pandas Library of Python.mp4
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010 Working with Seaborn Library of Python-en.srt
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010 Working with Seaborn Library of Python.mp4
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011 Introduction to Machine Learning-en.srt
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011 Introduction to Machine Learning.mp4
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123.2 MB
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012 Building a Machine Learning Model-en.srt
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9.7 KB
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012 Building a Machine Learning Model.mp4
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013 Course flow-en.srt
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013 Course flow.mp4
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013 Resources.zip
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1.4 MB
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014 The Concept of a Hyperplane-en.srt
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014 The Concept of a Hyperplane.mp4
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015 Maximum Margin Classifier-en.srt
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015 Maximum Margin Classifier.mp4
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016 Limitations of Maximum Margin Classifier-en.srt
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016 Limitations of Maximum Margin Classifier.mp4
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017 Support Vector classifiers-en.srt
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017 Support Vector classifiers.mp4
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018 Limitations of Support Vector Classifiers-en.srt
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018 Limitations of Support Vector Classifiers.mp4
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019 Kernel Based Support Vector Machines-en.srt
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019 Kernel Based Support Vector Machines.mp4
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020 Regression and Classification Models-en.srt
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020 Regression and Classification Models.mp4
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021 The Data set for the Regression problem-en.srt
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021 The Data set for the Regression problem.mp4
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022 Importing data for regression model-en.srt
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022 Importing data for regression model.mp4
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023 Missing value treatment-en.srt
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023 Missing value treatment.mp4
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024 Dummy Variable creation-en.srt
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024 Dummy Variable creation.mp4
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025 X-y Split-en.srt
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025 X-y Split.mp4
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026 Test-Train Split-en.srt
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026 Test-Train Split.mp4
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027 Standardizing the data-en.srt
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027 Standardizing the data.mp4
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028 SVM based Regression Model in Python-en.srt
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028 SVM based Regression Model in Python.mp4
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029 The Data set for the Classification problem-en.srt
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029 The Data set for the Classification problem.mp4
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030 Classification model - Preprocessing-en.srt
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030 Classification model - Preprocessing.mp4
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031 Classification model - Standardizing the data-en.srt
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031 Classification model - Standardizing the data.mp4
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032 SVM Based classification model-en.srt
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032 SVM Based classification model.mp4
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033 Hyper Parameter Tuning-en.srt
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033 Hyper Parameter Tuning.mp4
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034 Polynomial Kernel with Hyperparameter Tuning-en.srt
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034 Polynomial Kernel with Hyperparameter Tuning.mp4
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035 Radial Kernel with Hyperparameter Tuning-en.srt
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035 Radial Kernel with Hyperparameter Tuning.mp4
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036 Bonus Lecture.html
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037 Gathering Business Knowledge-en.srt
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037 Gathering Business Knowledge.mp4
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038 Data Exploration-en.srt
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038 Data Exploration.mp4
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039 The Dataset and the Data Dictionary-en.srt
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039 The Dataset and the Data Dictionary.mp4
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040 Importing Data in Python-en.srt
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040 Importing Data in Python.mp4
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041 Univariate analysis and EDD-en.srt
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041 Univariate analysis and EDD.mp4
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042 EDD in Python-en.srt
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042 EDD in Python.mp4
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043 Outlier Treatment-en.srt
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043 Outlier Treatment.mp4
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044 Outlier Treatment in Python-en.srt
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044 Outlier Treatment in Python.mp4
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045 Missing Value Imputation-en.srt
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045 Missing Value Imputation.mp4
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25 MB
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046 Missing Value Imputation in Python-en.srt
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046 Missing Value Imputation in Python.mp4
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23.4 MB
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047 Seasonality in Data-en.srt
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047 Seasonality in Data.mp4
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048 Bi-variate analysis and Variable transformation-en.srt
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048 Bi-variate analysis and Variable transformation.mp4
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049 Variable transformation and deletion in Python-en.srt
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049 Variable transformation and deletion in Python.mp4
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050 Non-usable variables-en.srt
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050 Non-usable variables.mp4
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051 Dummy variable creation Handling qualitative data-en.srt
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051 Dummy variable creation Handling qualitative data.mp4
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36.8 MB
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052 Dummy variable creation in Python-en.srt
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052 Dummy variable creation in Python.mp4
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053 Correlation Analysis-en.srt
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11 KB
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053 Correlation Analysis.mp4
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71.6 MB
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054 Correlation Analysis in Python-en.srt
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6.6 KB
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054 Correlation Analysis in Python.mp4
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55.3 MB
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ReadMe.txt
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TXT
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204.8 B
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Visit Coursedrive.org.url
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URL
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102.4 B
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![Udemy - Support Vector Machines in Python - SVM in Python 2019 [Course Drive]](/static/img/no-torrent-image.png "Udemy - Support Vector Machines in Python - SVM in Python 2019 [Course Drive]")
