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Machine Learning Masterclass

Machine Learning Masterclass

Are you looking to begin your career or want to gain more advanced skills? Then this course will help you get one step closer to your professional aspirations and develop your skills and knowledge for a rewarding career.

So, what you are waiting for? Enrol today and expand your knowledge with Study Plex. Up to 80% OFF, offer expires soon!

Machine Learning Masterclass
 20 days left at this price
14 Days Money Back Guarantee
This course includes:

On demand videos

Articles

Downloadable resource

Practice test

Full lifetime access

Access on Mobile and TV

Certificate of completion

Booking Options

  • Overview

    What you will learn from this course?

    • Gain comprehensive knowledge about machine learning
    • Understand the core competencies and principles of machine learning
    • Explore the various areas of machine learning
    • Know how to apply the skills you acquired from this course in a real-life context
    • Become a confident and expert machine learning engineer

    Course Highlights

    • Course Type: Self-paced online course
    • Duration: 12 hours 51 minutes
    • Tutor Support: Full tutor support is included
    • Customer Support: 24/7 customer support is available

    Machine Learning Masterclass Course

    Master the skills you need to propel your career forward in machine learning. This course will equip you with the essential knowledge and skillset that will make you a confident machine learning engineer and take your career to the next level. This comprehensive machine learning course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this machine learning course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career.

    This comprehensive course will teach you the theory of effective machine learning practice and equip you with the essential skills, confidence and competence to assist you in the machine learning industry. You’ll gain a solid understanding of the core competencies required to drive a successful career in machine learning. This course is designed by industry experts, so you’ll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for machine learning engineer or for people who are aspiring to specialise in machine learning.

    Enrol in this machine learning course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates.

    Who is this Course for?

    This comprehensive machine learning course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this machine learning can also take this course.

    Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector.

    Entry Requirements

    This machine learning course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection.

    Assessment

    This machine learning course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%.

    Advance Your Career

    This machine learning course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume.

    Study Plex Subscription

    Study plex also provides a subscription option that allows you unlimited access to more than 700+ CPD courses for learning. You only need to spend £79 to take advantage of this fantastic offer, and you’ll get an unlimited subscription for a full year. Additionally, you can cancel your membership from your account at any time by getting in touch with our friendly and devoted customer care team.

    Visit our subscriptions page for more details if you’re interested.

    Why you should train with Study Plex?

    At Study Plex, you will have the chance to build social, technical and personal skills through a combination of extensive subjects tailored according to your interest. Along with receiving comprehensive knowledge and transferable skills, there are even more reasons o be involved with us, which include:

    • Incredible Customer Support: We offer active customer service in the form of live chat, which you can access 24/7
    • Expert Tutor Support: You’ll have access to our devoted and dedicated tutor support with all of our courses whenever you need it.
    • Price Justified by Quality: We ensure that you will have the best experience possible for the price you are paying for the course.
    • Money-back Guarantee: We provide a money-back guarantee if you are not satisfied with the course’s quality. There is a 14-day time limit on this option (according to the terms and conditions).
    • Instalment Facility: If your course costs more than £50, you can pay in three instalments using the instalment option.
    • Satisfaction Guarantee: Our courses are designed to meet your demands and expectations by all means.
  • Curriculum

    This comprehensive course is designed by industry experts; this course will provide you with the skills and knowledge you need to succeed. Not only will it make you more lucrative to potential employers, but it will also give you the confidence to apply for that dream job.

    This course is divided into bite-sized modules to make it easy to follow. The modules of this course cover all essential areas to provide you with the appropriate skills and industry knowledge to take your career to the next level. Whether you are travelling around the world or juggling work and family, this course can be completed anytime, anywhere. This flexibility enables you to learn at your own pace, fitting your studies around your current lifestyle.

    Course Curriculum

    Welcome to the course
    Introduction 00:02:00
    Setting up R Studio and R crash course
    Installing R and R studio 00:05:00
    Basics of R and R studio 00:10:00
    Packages in R 00:10:00
    Inputting data part 1: Inbuilt datasets of R 00:04:00
    Inputting data part 2: Manual data entry 00:03:00
    Inputting data part 3: Importing from CSV or Text files 00:06:00
    Creating Barplots in R 00:13:00
    Creating Histograms in R 00:06:00
    Basics of Statistics
    Types of Data 00:04:00
    Types of Statistics 00:02:00
    Describing the data graphically 00:11:00
    Measures of Centers 00:07:00
    Measures of Dispersion 00:04:00
    Introduction to Machine Learning
    Introduction to Machine Learning 00:16:00
    Building a Machine Learning Model 00:08:00
    Data Preprocessing for Regression Analysis
    Gathering Business Knowledge 00:03:00
    Data Exploration 00:03:00
    The Data and the Data Dictionary 00:07:00
    Importing the dataset into R 00:03:00
    Univariate Analysis and EDD 00:03:00
    EDD in R 00:12:00
    Outlier Treatment 00:04:00
    Outlier Treatment in R 00:04:00
    Missing Value imputation 00:03:00
    Missing Value imputation in R 00:03:00
    Seasonality in Data 00:03:00
    Bi-variate Analysis and Variable Transformation 00:16:00
    Variable transformation in R 00:09:00
    Non Usable Variables 00:04:00
    Dummy variable creation: Handling qualitative data 00:04:00
    Dummy variable creation in R 00:05:00
    Correlation Matrix and cause-effect relationship 00:10:00
    Correlation Matrix in R 00:08:00
    Linear Regression Model
    The problem statement 00:01:00
    Basic equations and Ordinary Least Squared (OLS) method 00:08:00
    Assessing Accuracy of predicted coefficients 00:14:00
    Assessing Model Accuracy – RSE and R squared 00:07:00
    Simple Linear Regression in R 00:07:00
    Multiple Linear Regression 00:05:00
    The F – statistic 00:08:00
    Interpreting result for categorical Variable 00:05:00
    Multiple Linear Regression in R 00:07:00
    Test-Train split 00:09:00
    Bias Variance trade-off 00:06:00
    Test-Train Split in R 00:08:00
    Regression models other than OLS
    Linear models other than OLS 00:04:00
    Subset Selection techniques 00:11:00
    Subset selection in R 00:07:00
    Shrinkage methods – Ridge Regression and The Lasso 00:07:00
    Ridge regression and Lasso in R 00:12:00
    Classification Models: Data Preparation
    The Data and the Data Dictionary 00:08:00
    Importing the dataset into R 00:03:00
    EDD in R 00:11:00
    Outlier Treatment in R 00:04:00
    Missing Value imputation in R 00:03:00
    Variable transformation in R 00:06:00
    Dummy variable creation in R 00:05:00
    The Three classification models
    Three Classifiers and the problem statement 00:03:00
    Why can’t we use Linear Regression? 00:04:00
    Logistic Regression
    Logistic Regression 00:08:00
    Training a Simple Logistic model in R 00:03:00
    Results of Simple Logistic Regression 00:05:00
    Logistic with multiple predictors 00:02:00
    Training multiple predictor Logistic model in R 00:01:00
    Confusion Matrix 00:03:00
    Evaluating Model performance 00:07:00
    Predicting probabilities, assigning classes and making Confusion Matrix in R 00:06:00
    Linear Discriminant Analysis
    Linear Discriminant Analysis 00:09:00
    Linear Discriminant Analysis in R 00:09:00
    K-Nearest Neighbors
    Test-Train Split 00:09:00
    Test-Train Split in R 00:08:00
    K-Nearest Neighbors classifier 00:08:00
    K-Nearest Neighbors in R 00:08:00
    Comparing results from 3 models
    Understanding the results of classification models 00:06:00
    Summary of the three models 00:04:00
    Simple Decision Trees
    Basics of Decision Trees 00:10:00
    Understanding a Regression Tree 00:10:00
    The stopping criteria for controlling tree growth 00:03:00
    The Data set for this part 00:03:00
    Importing the Data set into R 00:06:00
    Splitting Data into Test and Train Set in R 00:05:00
    Building a Regression Tree in R 00:14:00
    Pruning a tree 00:04:00
    Pruning a Tree in R 00:09:00
    Simple Classification Tree
    Classification Trees 00:06:00
    The Data set for Classification problem 00:01:00
    Building a classification Tree in R 00:09:00
    Advantages and Disadvantages of Decision Trees 00:01:00
    Ensemble technique 1 - Bagging
    Bagging 00:06:00
    Bagging in R 00:06:00
    Ensemble technique 2 - Random Forest
    Random Forest technique 00:04:00
    Random Forest in R 00:04:00
    Ensemble technique 3 - GBM, AdaBoost and XGBoost
    Boosting techniques 00:07:00
    Gradient Boosting in R 00:07:00
    AdaBoosting in R 00:09:00
    XGBoosting in R 00:16:00
    Maximum Margin Classifier
    Content flow 00:01:00
    The Concept of a Hyperplane 00:05:00
    Maximum Margin Classifier 00:03:00
    Limitations of Maximum Margin Classifier 00:02:00
    Support Vector Classifier
    Support Vector classifiers 00:10:00
    Limitations of Support Vector Classifiers 00:01:00
    Support Vector Machines
    Kernel Based Support Vector Machines 00:06:00
    Creating Support Vector Machine Model in R
    The Data set for the Classification problem 00:01:00
    Importing Data into R 00:08:00
    Test-Train Split 00:09:00
    Classification SVM model using Linear Kernel 00:16:00
    Hyperparameter Tuning for Linear Kernel 00:06:00
    Polynomial Kernel with Hyperparameter Tuning 00:10:00
    Radial Kernel with Hyperparameter Tuning 00:06:00
    The Data set for the Regression problem 00:03:00
    SVM based Regression Model in R 00:11:00
    Assessment
    Assessment – Machine Learning Masterclass 00:10:00
    Certificate of Achievement
    Certificate of Achievement 00:00:00
    Get Your Insurance Now
    Get Your Insurance Now 00:00:00
    Feedback
    Feedback 00:00:00
  • Accreditation

    This Machine Learning Masterclass is accredited by Continuing Professional Development (CPD) and International Practitioners of Holistic Medicine (IPHM), and endorsed by Quality License Scheme

    CPD

    What is CPD?

    Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements.

    Benefits of CPD

    • Improve your employment prospects
    • Boost your job satisfaction
    • Promotes career advancement
    • Enhances your CV
    • Provides you with a competitive edge in the job market
    • Demonstrate your dedication
    • Showcases your professional capabilities

    What is IPHM?

    The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill.

    Benefits of IPHM

    • It will help you establish a positive reputation in your chosen field
    • You can join a network and community of successful therapists that are dedicated to providing excellent care to their client
    • You can flaunt this accreditation in your CV
    • It is a worldwide recognised accreditation

    What is Quality Licence Scheme?

    This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries.

    Benefits of Quality License Scheme

    • Certificate is valuable
    • Provides a competitive edge in your career
    • It will make your CV stand out
  • Certification

    Upon successful completion of this Machine Learning Masterclass, you will be qualified to download your free PDF certificate of course completion. It is advised, nevertheless, that you have a certificate and transcript that has been endorsed by the Quality License Scheme or accredited by CPD & IPHM which is highly valued and recognised by the employers in the UK and around the world.

    CPD and IPHM Accredited Certificate

    Upon successful completion of this Machine Learning Masterclass, you will be eligible to order your CPD and IPHM accredited certificate of achievement (dual certificate) to demonstrate your new skills. A certificate from CPD Certification Service adds value to your professional goal and achievement because CPD is widely acknowledged by employers, professional organisations, and academic institutions. Whereas, an IPHM accredited certificate guarantees the quality and expertise that will help you establish a positive reputation within your targeted industry

    Numerous professional organisations and governmental agencies in the UK and other countries accept certifications that have been certified by CPD and IPHM. This means you can share this certificate with prospective employers and your professional network.

    The CPD and IPHM accredited certificate of achievement (dual certificate) can be obtained in PDF format at the nominal fee of £12; there is an additional fee to get a printed copy certificate which is £39.

    Endorsed Certificate from Quality Licence Scheme

    On successful completion of the Machine Learning Masterclass, you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a renowned national awarding body for supplying top-notch vocational certifications across a wide range of industries. Thus, you can share this certificate with prospective employers and your professional network which will help you drive a successful career in your chosen industry. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate

    StudyPlex Certificate of Achievement
  • Reviews

    Jayden

    Verified Customer

    Tutor explain concept which is very easy to understand and give me a really satisfying practice that i can do by my own self.

    Poppy

    Verified Customer

    Excellent course. Support material and lectures very well prepared. Explanations are clear and objective.

    Hobbs

    Verified Customer

    I got this course as a gift from my sister and I must say this is the best gift ever I had in my life! Thank you.

    Payne

    Verified Customer

    I can watch videos anytime, learn from them and study the materials whenever I want. Best academy!

    Maisie

    Verified Customer

    I truly enjoyed every videos and those were full of knowledgeable and to the point. I would like to take further more courses.

  • FAQ
    • Q

      What happens after I register ?

    • A After successfully registering for the course you will receive an email regarding your login details which will allow you access to your online training course.
    • Q

      Troubling to get the login details

    • A Upon successfully enrolling for a course you will receive an email with your login details. Kindly check your inbox/junk folder and spam folder, or you can contact our award-winning customer support team via [email protected]
    • Q

      Can I gift a course to someone else?

    • A Sure, you can gift any of our courses to your friend or dearest one. After purchasing any course as a gift kindly provide the learner’s details via [email protected], and then we will send your gift to the learner with the login details of the course.
    • Q

      I am outside the UK; can I enrol for this course?

    • A Definitely, you can enrol for this course. This is a self-paced online video training course. Once you will purchase the course you will receive your login details via email. As you will have lifetime access to the login portal, hence you can complete your course at your convenient time.
    • Q

      Can I study from a smartphone or a tab?

    • A Our online courses come with lifetime access with no time limit for completion. Each course is fully accessible from a tablet, mobile or laptop, as long as there is a secure internet connection.
    • Q

      What is the next step after completing the course?

    • A Upon successfully completing the course you can order your certificate of achievement as proof of your new skill.

    Ask a Question

What you will learn from this course?

  • Gain comprehensive knowledge about machine learning
  • Understand the core competencies and principles of machine learning
  • Explore the various areas of machine learning
  • Know how to apply the skills you acquired from this course in a real-life context
  • Become a confident and expert machine learning engineer

Course Highlights

  • Course Type: Self-paced online course
  • Duration: 12 hours 51 minutes
  • Tutor Support: Full tutor support is included
  • Customer Support: 24/7 customer support is available

Machine Learning Masterclass Course

Master the skills you need to propel your career forward in machine learning. This course will equip you with the essential knowledge and skillset that will make you a confident machine learning engineer and take your career to the next level. This comprehensive machine learning course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this machine learning course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career.

This comprehensive course will teach you the theory of effective machine learning practice and equip you with the essential skills, confidence and competence to assist you in the machine learning industry. You’ll gain a solid understanding of the core competencies required to drive a successful career in machine learning. This course is designed by industry experts, so you’ll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for machine learning engineer or for people who are aspiring to specialise in machine learning.

Enrol in this machine learning course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates.

Who is this Course for?

This comprehensive machine learning course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this machine learning can also take this course.

Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector.

Entry Requirements

This machine learning course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection.

Assessment

This machine learning course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%.

Advance Your Career

This machine learning course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume.

Study Plex Subscription

Study plex also provides a subscription option that allows you unlimited access to more than 700+ CPD courses for learning. You only need to spend £79 to take advantage of this fantastic offer, and you’ll get an unlimited subscription for a full year. Additionally, you can cancel your membership from your account at any time by getting in touch with our friendly and devoted customer care team.

Visit our subscriptions page for more details if you’re interested.

Why you should train with Study Plex?

At Study Plex, you will have the chance to build social, technical and personal skills through a combination of extensive subjects tailored according to your interest. Along with receiving comprehensive knowledge and transferable skills, there are even more reasons o be involved with us, which include:

  • Incredible Customer Support: We offer active customer service in the form of live chat, which you can access 24/7
  • Expert Tutor Support: You’ll have access to our devoted and dedicated tutor support with all of our courses whenever you need it.
  • Price Justified by Quality: We ensure that you will have the best experience possible for the price you are paying for the course.
  • Money-back Guarantee: We provide a money-back guarantee if you are not satisfied with the course’s quality. There is a 14-day time limit on this option (according to the terms and conditions).
  • Instalment Facility: If your course costs more than £50, you can pay in three instalments using the instalment option.
  • Satisfaction Guarantee: Our courses are designed to meet your demands and expectations by all means.

This comprehensive course is designed by industry experts; this course will provide you with the skills and knowledge you need to succeed. Not only will it make you more lucrative to potential employers, but it will also give you the confidence to apply for that dream job.

This course is divided into bite-sized modules to make it easy to follow. The modules of this course cover all essential areas to provide you with the appropriate skills and industry knowledge to take your career to the next level. Whether you are travelling around the world or juggling work and family, this course can be completed anytime, anywhere. This flexibility enables you to learn at your own pace, fitting your studies around your current lifestyle.

Course Curriculum

Welcome to the course
Introduction 00:02:00
Setting up R Studio and R crash course
Installing R and R studio 00:05:00
Basics of R and R studio 00:10:00
Packages in R 00:10:00
Inputting data part 1: Inbuilt datasets of R 00:04:00
Inputting data part 2: Manual data entry 00:03:00
Inputting data part 3: Importing from CSV or Text files 00:06:00
Creating Barplots in R 00:13:00
Creating Histograms in R 00:06:00
Basics of Statistics
Types of Data 00:04:00
Types of Statistics 00:02:00
Describing the data graphically 00:11:00
Measures of Centers 00:07:00
Measures of Dispersion 00:04:00
Introduction to Machine Learning
Introduction to Machine Learning 00:16:00
Building a Machine Learning Model 00:08:00
Data Preprocessing for Regression Analysis
Gathering Business Knowledge 00:03:00
Data Exploration 00:03:00
The Data and the Data Dictionary 00:07:00
Importing the dataset into R 00:03:00
Univariate Analysis and EDD 00:03:00
EDD in R 00:12:00
Outlier Treatment 00:04:00
Outlier Treatment in R 00:04:00
Missing Value imputation 00:03:00
Missing Value imputation in R 00:03:00
Seasonality in Data 00:03:00
Bi-variate Analysis and Variable Transformation 00:16:00
Variable transformation in R 00:09:00
Non Usable Variables 00:04:00
Dummy variable creation: Handling qualitative data 00:04:00
Dummy variable creation in R 00:05:00
Correlation Matrix and cause-effect relationship 00:10:00
Correlation Matrix in R 00:08:00
Linear Regression Model
The problem statement 00:01:00
Basic equations and Ordinary Least Squared (OLS) method 00:08:00
Assessing Accuracy of predicted coefficients 00:14:00
Assessing Model Accuracy – RSE and R squared 00:07:00
Simple Linear Regression in R 00:07:00
Multiple Linear Regression 00:05:00
The F – statistic 00:08:00
Interpreting result for categorical Variable 00:05:00
Multiple Linear Regression in R 00:07:00
Test-Train split 00:09:00
Bias Variance trade-off 00:06:00
Test-Train Split in R 00:08:00
Regression models other than OLS
Linear models other than OLS 00:04:00
Subset Selection techniques 00:11:00
Subset selection in R 00:07:00
Shrinkage methods – Ridge Regression and The Lasso 00:07:00
Ridge regression and Lasso in R 00:12:00
Classification Models: Data Preparation
The Data and the Data Dictionary 00:08:00
Importing the dataset into R 00:03:00
EDD in R 00:11:00
Outlier Treatment in R 00:04:00
Missing Value imputation in R 00:03:00
Variable transformation in R 00:06:00
Dummy variable creation in R 00:05:00
The Three classification models
Three Classifiers and the problem statement 00:03:00
Why can’t we use Linear Regression? 00:04:00
Logistic Regression
Logistic Regression 00:08:00
Training a Simple Logistic model in R 00:03:00
Results of Simple Logistic Regression 00:05:00
Logistic with multiple predictors 00:02:00
Training multiple predictor Logistic model in R 00:01:00
Confusion Matrix 00:03:00
Evaluating Model performance 00:07:00
Predicting probabilities, assigning classes and making Confusion Matrix in R 00:06:00
Linear Discriminant Analysis
Linear Discriminant Analysis 00:09:00
Linear Discriminant Analysis in R 00:09:00
K-Nearest Neighbors
Test-Train Split 00:09:00
Test-Train Split in R 00:08:00
K-Nearest Neighbors classifier 00:08:00
K-Nearest Neighbors in R 00:08:00
Comparing results from 3 models
Understanding the results of classification models 00:06:00
Summary of the three models 00:04:00
Simple Decision Trees
Basics of Decision Trees 00:10:00
Understanding a Regression Tree 00:10:00
The stopping criteria for controlling tree growth 00:03:00
The Data set for this part 00:03:00
Importing the Data set into R 00:06:00
Splitting Data into Test and Train Set in R 00:05:00
Building a Regression Tree in R 00:14:00
Pruning a tree 00:04:00
Pruning a Tree in R 00:09:00
Simple Classification Tree
Classification Trees 00:06:00
The Data set for Classification problem 00:01:00
Building a classification Tree in R 00:09:00
Advantages and Disadvantages of Decision Trees 00:01:00
Ensemble technique 1 - Bagging
Bagging 00:06:00
Bagging in R 00:06:00
Ensemble technique 2 - Random Forest
Random Forest technique 00:04:00
Random Forest in R 00:04:00
Ensemble technique 3 - GBM, AdaBoost and XGBoost
Boosting techniques 00:07:00
Gradient Boosting in R 00:07:00
AdaBoosting in R 00:09:00
XGBoosting in R 00:16:00
Maximum Margin Classifier
Content flow 00:01:00
The Concept of a Hyperplane 00:05:00
Maximum Margin Classifier 00:03:00
Limitations of Maximum Margin Classifier 00:02:00
Support Vector Classifier
Support Vector classifiers 00:10:00
Limitations of Support Vector Classifiers 00:01:00
Support Vector Machines
Kernel Based Support Vector Machines 00:06:00
Creating Support Vector Machine Model in R
The Data set for the Classification problem 00:01:00
Importing Data into R 00:08:00
Test-Train Split 00:09:00
Classification SVM model using Linear Kernel 00:16:00
Hyperparameter Tuning for Linear Kernel 00:06:00
Polynomial Kernel with Hyperparameter Tuning 00:10:00
Radial Kernel with Hyperparameter Tuning 00:06:00
The Data set for the Regression problem 00:03:00
SVM based Regression Model in R 00:11:00
Assessment
Assessment – Machine Learning Masterclass 00:10:00
Certificate of Achievement
Certificate of Achievement 00:00:00
Get Your Insurance Now
Get Your Insurance Now 00:00:00
Feedback
Feedback 00:00:00

This Machine Learning Masterclass is accredited by Continuing Professional Development (CPD) and International Practitioners of Holistic Medicine (IPHM), and endorsed by Quality License Scheme

What is CPD?

Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements.

Benefits of CPD

  • Improve your employment prospects
  • Boost your job satisfaction
  • Promotes career advancement
  • Enhances your CV
  • Provides you with a competitive edge in the job market
  • Demonstrate your dedication
  • Showcases your professional capabilities

What is IPHM?

The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill.

Benefits of IPHM

  • It will help you establish a positive reputation in your chosen field
  • You can join a network and community of successful therapists that are dedicated to providing excellent care to their client
  • You can flaunt this accreditation in your CV
  • It is a worldwide recognised accreditation

What is Quality Licence Scheme?

This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries.

Benefits of Quality License Scheme

  • Certificate is valuable
  • Provides a competitive edge in your career
  • It will make your CV stand out

Upon successful completion of this Machine Learning Masterclass, you will be qualified to download your free PDF certificate of course completion. It is advised, nevertheless, that you have a certificate and transcript that has been endorsed by the Quality License Scheme or accredited by CPD & IPHM which is highly valued and recognised by the employers in the UK and around the world.

CPD and IPHM Accredited Certificate

Upon successful completion of this Machine Learning Masterclass, you will be eligible to order your CPD and IPHM accredited certificate of achievement (dual certificate) to demonstrate your new skills. A certificate from CPD Certification Service adds value to your professional goal and achievement because CPD is widely acknowledged by employers, professional organisations, and academic institutions. Whereas, an IPHM accredited certificate guarantees the quality and expertise that will help you establish a positive reputation within your targeted industry

Numerous professional organisations and governmental agencies in the UK and other countries accept certifications that have been certified by CPD and IPHM. This means you can share this certificate with prospective employers and your professional network.

The CPD and IPHM accredited certificate of achievement (dual certificate) can be obtained in PDF format at the nominal fee of £12; there is an additional fee to get a printed copy certificate which is £39.

Endorsed Certificate from Quality Licence Scheme

On successful completion of the Machine Learning Masterclass, you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a renowned national awarding body for supplying top-notch vocational certifications across a wide range of industries. Thus, you can share this certificate with prospective employers and your professional network which will help you drive a successful career in your chosen industry. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate

Jayden

Verified Customer

Tutor explain concept which is very easy to understand and give me a really satisfying practice that i can do by my own self.

Poppy

Verified Customer

Excellent course. Support material and lectures very well prepared. Explanations are clear and objective.

Hobbs

Verified Customer

I got this course as a gift from my sister and I must say this is the best gift ever I had in my life! Thank you.

Payne

Verified Customer

I can watch videos anytime, learn from them and study the materials whenever I want. Best academy!

Maisie

Verified Customer

I truly enjoyed every videos and those were full of knowledgeable and to the point. I would like to take further more courses.

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  • A Upon successfully enrolling for a course you will receive an email with your login details. Kindly check your inbox/junk folder and spam folder, or you can contact our award-winning customer support team via [email protected]
  • Q

    Can I gift a course to someone else?

  • A Sure, you can gift any of our courses to your friend or dearest one. After purchasing any course as a gift kindly provide the learner’s details via [email protected], and then we will send your gift to the learner with the login details of the course.
  • Q

    I am outside the UK; can I enrol for this course?

  • A Definitely, you can enrol for this course. This is a self-paced online video training course. Once you will purchase the course you will receive your login details via email. As you will have lifetime access to the login portal, hence you can complete your course at your convenient time.
  • Q

    Can I study from a smartphone or a tab?

  • A Our online courses come with lifetime access with no time limit for completion. Each course is fully accessible from a tablet, mobile or laptop, as long as there is a secure internet connection.
  • Q

    What is the next step after completing the course?

  • A Upon successfully completing the course you can order your certificate of achievement as proof of your new skill.

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