Machine Learning Adv: Support Vector Machines (SVM) Python

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    Online

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You're looking for a complete Support Vector Machines course that teaches you everything you need to create a Support Vector Machines model in Python, right?You've found the right Support Vector Machines techniques course!How this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course.If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Support Vector Machines.Why should you choose this course?This course covers all the steps that one should take while solving a business problem through Decision tree.Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this courseWe are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur Promise
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Teaching our students is our job and we are committed to it

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About this course

Get a solid understanding of Support Vector Machines
Understand the business scenarios where Support Vector Machines is applicable
Tune a machine learning model's hyperparameters and evaluate its performance
Use Support Vector Machines to make predictions 

People pursuing a career in data science
Working Professionals beginning their Data journey
Statisticians needing more practical experience
Anyone curious to master SVM technique from Beginner to Advanced in short span of time

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This centre's achievements

2021

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The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 6 years

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Course programme

Setting up Python and Python Crash Course 9 lectures 01:38:02 Installing Python and Anaconda Opening Jupyter Notebook Introduction to Jupyter Arithmetic operators in Python: Python Basics Strings in Python: Python Basics Lists, Tuples and Directories: Python Basics Working with Numpy Library of Python Working with Pandas Library of Python Working with Seaborn Library of Python Setting up Python and Python Crash Course 9 lectures 01:38:02 Installing Python and Anaconda Opening Jupyter Notebook Introduction to Jupyter Arithmetic operators in Python: Python Basics Strings in Python: Python Basics Lists, Tuples and Directories: Python Basics Working with Numpy Library of Python Working with Pandas Library of Python Working with Seaborn Library of Python Installing Python and Anaconda Installing Python and Anaconda Installing Python and Anaconda Installing Python and Anaconda Opening Jupyter Notebook Opening Jupyter Notebook Opening Jupyter Notebook Opening Jupyter Notebook Introduction to Jupyter Introduction to Jupyter Introduction to Jupyter Introduction to Jupyter Arithmetic operators in Python: Python Basics Arithmetic operators in Python: Python Basics Arithmetic operators in Python: Python Basics Arithmetic operators in Python: Python Basics Strings in Python: Python Basics Strings in Python: Python Basics Strings in Python: Python Basics Strings in Python: Python Basics Lists, Tuples and Directories: Python Basics Lists, Tuples and Directories: Python Basics Lists, Tuples and Directories: Python Basics Lists, Tuples and Directories: Python Basics Working with Numpy Library of Python Working with Numpy Library of Python Working with Numpy Library of Python Working with Numpy Library of Python Working with Pandas Library of Python Working with Pandas Library of Python Working with Pandas Library of Python Working with Pandas Library of Python Working with Seaborn Library of Python Working with Seaborn Library of Python Working with Seaborn Library of Python Working with Seaborn Library of Python Machine Learning Basics 2 lectures 24:46 Introduction to Machine Learning Building a Machine Learning Model Machine Learning Basics 2 lectures 24:46 Introduction to Machine Learning Building a Machine Learning Model Introduction to Machine Learning Introduction to Machine Learning Introduction to Machine Learning Introduction to Machine Learning Building a Machine Learning Model Building a Machine Learning Model Building a Machine Learning Model Building a Machine Learning Model Maximum Margin Classifier 4 lectures 12:17 Course flow The Concept of a Hyperplane Maximum Margin Classifier Limitations of Maximum Margin Classifier Maximum Margin Classifier 4 lectures 12:17 Course flow The Concept of a Hyperplane Maximum Margin Classifier Limitations of Maximum Margin Classifier Course flow Course flow Course flow Course flow The Concept of a Hyperplane The Concept of a Hyperplane The Concept of a Hyperplane The Concept of a Hyperplane Maximum Margin Classifier Maximum Margin Classifier Maximum Margin Classifier Maximum Margin Classifier Limitations of Maximum Margin Classifier Limitations of Maximum Margin Classifier Limitations of Maximum Margin Classifier Limitations of Maximum Margin Classifier Support Vector Classifier 2 lectures 11:35 Support Vector classifiers Limitations of Support Vector Classifiers Support Vector Classifier 2 lectures 11:35 Support Vector classifiers Limitations of Support Vector Classifiers Support Vector classifiers Support Vector classifiers Support Vector classifiers Support Vector classifiers Limitations of Support Vector Classifiers Limitations of Support Vector Classifiers Limitations of Support Vector Classifiers Limitations of Support Vector Classifiers Support Vector Machines 1 lecture 06:45 Kernel Based Support Vector Machines Support Vector Machines 1 lecture 06:45 Kernel Based Support Vector Machines Kernel Based Support Vector Machines Kernel Based Support Vector Machines Kernel Based Support Vector Machines Kernel Based Support Vector Machines Creating Support Vector Machine Model in Python 15 lectures 01:25:42 Regression and Classification Models Importing data for regression model Missing value treatment Dummy Variable creation X-y Split Test-Train Split Standardizing the data SVM based Regression Model in Python The Data set for the Classification problem Classification model - Preprocessing Classification model - Standardizing the data SVM Based classification model Hyper Parameter Tuning Polynomial Kernel with Hyperparameter Tuning Radial Kernel with Hyperparameter Tuning Creating Support Vector Machine Model in Python

Additional information

Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same

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Machine Learning Adv: Support Vector Machines (SVM) Python

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