Spring SaleUp to 80% OFF!

Click to Copy

X

spring-extra-10
empty-wallet-tick

3 Instalment Plan on checkout

You have the option to choose from four easy instalment plans.

Free CPD UK & IPHM Accredited PDF Certificate with Transcript

Free CertificateLimited Time

Free CPD UK & IPHM Accredited PDF Certificate with Transcript

verify

14 Days Money Back Guarantee

Hassle-free guarantee on purchase, ensuring quality & your peace of mind.

Machine Learning Masterclass

Machine Learning Masterclass

Reviews-Logo
Our Intro
Course Price
Buy 1 Year Access

Lifetime All Courses Access

Give Your Name Give Your Email Give Your Phone
Mail was sent

Course info

Duration

Duration

Accredited by

Accredited by

Tutor Support

Tutor Support

Course Access

Course Access

12 Hours 51 Minutes

CPD UK & QLS

Included

1 Year

Quality Guarantee

Quality Guarantee

Promising training excellence, satisfaction gurantee

Accredited by

Accredited by

CPD UK & Quality License Scheme

Tutor Support

Tutor Support

Unlimited support via email, till you complete the course

Recognised Certification

Recognised Certification

Accepted by thousands of bodies

Start Anytime

Start Anytime

Till you complete your exam

Job Opportunity

Job Opportunity

High Chances of Getting Hired After Course Completion

Advance your machine learning expertise through our master class. Dive into the latest advancements, explore practical applications, and develop proficiency in creating intelligent solutions. Join this course to stay ahead in this dynamic field.

What will you learn from this course?

  • Get an introduction to machine learning and how it works
  • Learn aspects and key elements of machine learning 
  • Know the basic types of machine learning 
  • Learn setting up RStudio and R crash course
  • Understand the use of statistics and data mining
  • Learn how to build a machine-learning model
  • Get narrative ideas about data processing and regression for analysis
  • Learn the data set and three classifications of models
  • Know the applications of machine learning 
  • Learn simple decision and classification trees
  • Understand ensemble technique, margin and vector classifier

Machine Learning Masterclass Course

This Machine learning certificate course can be your ultimate educational analysis about machine learning. This course has the efficiency to progress your learning on various concepts such as the fundamentals, types,Rstudio and R crash course, relevance of data mining, machine learning model and so on. Professional training will be included and tutors can help you to choose a career path in machine learning.

  • Fundamentals of machine learning
  • Applications of machine learning
  • Advantages of machine learning and its importance in daily life
  • Techniques and decision trees of machine learning

Show More

  • This course is for programmers who want develop a career in machine learning and discover new inventions
  • This course can be enrolled by those who already learned Python and want to implement in machine learning
  • This course has foundational education on machine learning and can be taken by those who are complete beginners
  • This course is also open for professional programmers who already started their career in machine learning and want to educate themselves more
  • Individuals who have passion towards machine learning and want to commit to a future in this field can join this course.

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

This Machine learning course for beginners 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 can grasp from each section. 
  • In the assessment, the pass mark is 60%.

Welcome to the course

  • Introduction

Setting up R Studio and R crash course

  • Installing R and R studio
  • Basics of R and R studio
  • Packages in R
  • Inputting data part 1: Inbuilt datasets of R
  • Inputting data part 2: Manual data entry
  • Inputting data part 3: Importing from CSV or Text files
  • Creating Barplots in R
  • Creating Histograms in R

Basics of Statistics

  • Types of Data
  • Types of Statistics
  • Describing the data graphically
  • Measures of Centers
  • Measures of Dispersion

Introduction to Machine Learning

  • Introduction to Machine Learning
  • Building a Machine Learning Model

Data Preprocessing for Regression Analysis

  • Gathering Business Knowledge
  • Data Exploration
  • The Data and the Data Dictionary
  • Importing the dataset into R
  • Univariate Analysis and EDD
  • EDD in R
  • Outlier Treatment
  • Outlier Treatment in R
  • Missing Value imputation
  • Missing Value imputation in R
  • Seasonality in Data
  • Bi-variate Analysis and Variable Transformation
  • Variable transformation in R
  • Non Usable Variables
  • Dummy variable creation: Handling qualitative data
  • Dummy variable creation in R
  • Correlation Matrix and cause-effect relationship
  • Correlation Matrix in R

Linear Regression Model

  • The problem statement
  • Basic equations and Ordinary Least Squared (OLS) method
  • Assessing Accuracy of predicted coefficients
  • Assessing Model Accuracy – RSE and R squared
  • Simple Linear Regression in R
  • Multiple Linear Regression
  • The F – statistic
  • Interpreting result for categorical Variable
  • Multiple Linear Regression in R
  • Test-Train split
  • Bias Variance trade-off
  • Test-Train Split in R

Regression models other than OLS

  • Linear models other than OLS
  • Subset Selection techniques
  • Subset selection in R
  • Shrinkage methods – Ridge Regression and The Lasso
  • Ridge regression and Lasso in R

Classification Models: Data Preparation

  • The Data and the Data Dictionary
  • Importing the dataset into R
  • EDD in R
  • Outlier Treatment in R
  • Missing Value imputation in R
  • Variable transformation in R
  • Dummy variable creation in R

The Three classification models

  • Three Classifiers and the problem statement
  • Why can’t we use Linear Regression?

Logistic Regression

  • Logistic Regression
  • Training a Simple Logistic model in R
  • Results of Simple Logistic Regression
  • Logistic with multiple predictors
  • Training multiple predictor Logistic model in R
  • Confusion Matrix
  • Evaluating Model performance
  • Predicting probabilities, assigning classes and making Confusion Matrix in R

Linear Discriminant Analysis

  • Linear Discriminant Analysis
  • Linear Discriminant Analysis in R

K-Nearest Neighbors

  • Test-Train Split
  • Test-Train Split in R
  • K-Nearest Neighbors classifier
  • K-Nearest Neighbors in R

Comparing results from 3 models

  • Understanding the results of classification models
  • Summary of the three models

Simple Decision Trees

  • Basics of Decision Trees
  • Understanding a Regression Tree
  • The stopping criteria for controlling tree growth
  • The Data set for this part
  • Importing the Data set into R
  • Splitting Data into Test and Train Set in R
  • Building a Regression Tree in R
  • Pruning a tree
  • Pruning a Tree in R

Simple Classification Tree

  • Classification Trees
  • The Data set for Classification problem
  • Building a classification Tree in R
  • Advantages and Disadvantages of Decision Trees

Ensemble technique 1 – Bagging

  • Bagging
  • Bagging in R

Ensemble technique 2 – Random Forest

  • Random Forest technique
  • Random Forest in R

Ensemble technique 3 – GBM, AdaBoost and XGBoost

  • Boosting techniques
  • Gradient Boosting in R
  • AdaBoosting in R
  • XGBoosting in R

Maximum Margin Classifier

  • Content flow
  • The Concept of a Hyperplane
  • Maximum Margin Classifier
  • Limitations of Maximum Margin Classifier

Support Vector Classifier

  • Support Vector classifiers
  • Limitations of Support Vector Classifiers

Support Vector Machines

  • Kernel Based Support Vector Machines

Creating Support Vector Machine Model in R

  • The Data set for the Classification problem
  • Importing Data into R
  • Test-Train Split
  • Classification SVM model using Linear Kernel
  • Hyperparameter Tuning for Linear Kernel
  • Polynomial Kernel with Hyperparameter Tuning
  • Radial Kernel with Hyperparameter Tuning
  • The Data set for the Regression problem
  • SVM based Regression Model in R

CPD

CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field.

QLS

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.

Endorsed Certificate From Quality Licence Scheme

CPD UK And Accredited Certificate Of Achievement

On successful completion of this course, you will be eligible to order your CPD UK accredited certificate of achievement to demonstrate your new skills. The CPD accredited PDF certificate of achievement can be obtained free of cost, which is included in the course. There is an additional fee to get a printed copy certificate which is £25.

CPD UK And Accredited Certificate Of Achievement

Endorsed Certificate From Quality Licence Scheme

On successful completion of the course assessment, you will be eligible to order the QLS Endorsed Certificate by Quality Licence Scheme. 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. This will provide you with a competitive edge in your career add extra value to your CV. You can also share this certificate with prospective employers and your professional network which will help you to drive a successful career in your chosen industry. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65.

Course Success Stories

Course Price
Buy 1 Year Access

Lifetime All Courses Access

Give Your Name Give Your Email Give Your Phone
Mail was sent

Course info

Duration

Duration

Accredited by

Accredited by

Tutor Support

Tutor Support

Course Access

Course Access

12 Hours 51 Minutes

CPD UK & QLS

Included

1 Year

Get In Touch Today

Course Review

FAQs

Machine learning is a branch of artificial intelligence and computer science that focuses on using data and algorithms to imitate human learning.

The 4 basics of machine learning are supervised learning, unsupervised learning,semi-supervised and reinforcement learning.

Few examples of machine learning can be mentioned such as image recognition, speech recognition, medical diagnosis, statistical arbitrage, predictive analytics etc.

There are several benefits you can get by learning machines such as natural language processing, recognising images, data mining, autonomous vehicles and so on.

Intelligent computer uses AI to think like a human and perform tasks on its own and machine learning is how a computer develops its intelligence.

Python can be the key language for machine learning since it has in-built libraries and packages that provide base-level code so machine learning engineers don’t have to start writing from scratch.

There are basically three types of machine learning which are superived, unsupervised, and reinforcement learning.

Machine learning has a great future ahead and it’s already impacting our daily lives with its innovative inventions.

You can learn machine learning by teaching yourself essential maths skills, study basic computer science skills , earn a necessary degree, learn a programming language, learn specifics about machine skills etc.

After successfully registering for the course, you will receive an email regarding your login details, allowing you access to your online training course.

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].

Sure, you can give any of our courses to your friends or dearest ones. 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.

Definitely, you can enrol for this self-paced online video training course. Once you 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.

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.

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

After successfully passing the MCQ exam, you will be eligible to order the Machine Learning Certificate by the Quality Licence Scheme.

No prior knowledge is necessary for the course, making it ideal for beginners. However, a positive attitude toward learning is always a plus.