Machine Learning Course

Machine Learning Course Accredited by CPD | Video Training | MCQ Exam Included | Tutor Support | Flexible Study

Lead Academy


Save 91%
£17 inc VAT (was £205)
Offer ends 25 January 2021
Study method
Online, self-paced
Access to content
Lifetime access
No formal qualification
12 CPD hours / points
Additional info
  • Exam(s) / assessment(s) is included in price
  • Tutor is available to students

3 students purchased this course

Add to basket or enquire


Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this Machine Learning course will set you up with a solid foundation to become a confident machine learning engineer and develop more advanced skills. Gain the essentials skills and knowledge you need to propel your career forward as a machine learning engineer.

This comprehensive Machine Learning course is the perfect way to kickstart your career in the field of machine Learning. This accredited Machine Learning course will give you a competitive advantage in your career, making you stand out from all other applicants and employees.

If you’re interested in working as a machine learning engineer or want to learn more skills on machine Learning but unsure of where to start, then this Machine Learning course will set you up with a solid foundation to become a confident machine learning engineer and develop more advanced skills.

The Machine Learning course will set you up with the appropriate qualifications and experience needed for the job and is ideal for both beginners and those currently working as a machine learning engineer.

As one of the leading course providers and most renowned e-learning specialists online, we’re dedicated to giving you the best educational experience possible. This course is crafted by industry expert, to enable you to learn quickly and efficiently, and at your own pace and convenience.

How Will I Benefit?

  • Boost your career in machine Learning
  • Deepen your knowledge and skills in your chosen field just in hours not years!
  • Study a course that has been designed by industry professionals.
  • Save money and time by studying your convenient time
  • Have access to a tutor whenever you are in need

So, what are you thinking about! Start getting the benefits by enrolling today!


12 CPD hours / points
Accredited by The CPD Accreditation Group

Course media


Machine Learning Course Accredited By Qualified Professionals

Why Choose Lead Academy:

  • Lifetime Access
  • High-quality e-learning study materials
  • The UK and globally recognised qualification
  • Self-paced, no fixed schedules
  • 24/7 customer support through email
  • Available to students anywhere in the world
  • No hidden fee
  • Study in a user-friendly, advanced online learning platform

The Machine Learning is a popular training course, ideal for anyone who is looking to kickstart their career as a machine learning engineer, as well as professionals who want to test their existing skills and knowledge. If you want to gain an in-depth understanding of machine Learning, then this program is perfect for you.

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.

We pride ourselves on our supportive network of dedicated instructors and attentive customer service team who are dedicated to assisting you through your learning journey. Contact them at any time via email should you have any questions or queries.

Course Syllabus:

We have divided the Machine Learning course into 113 user-friendly modules, covering all fundamental areas of machine Learning to provide learners with the relevant skills and industry knowledge to take their career to the next level.

This comprehensive Machine Learning course includes the following modules:

The following module of the Machine Learning course will set you up with a solid foundation in the machine Learning industry and give you the essential skills you need to get yourself job-ready!

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

Intorduction 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
  • Dummy variable creation in R
  • Correlation Matrix and cause-effect relationship
  • Correlation Matrix in R

Develop your expertise in key areas such as machine Learning with the following module of the comprehensive Machine Learning course, designed to help you develop your knowledge in the field in accurate and informative way to provide you with a solid foundation for success.

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

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

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
  • 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

Ensemble technique 1 - Bagging

  • Bagging
  • Bagging in R

Ensemble technique 2 - Random Forest

  • Random Forest technique
  • Random Forest in R

The following module of the Machine Learning course is designed for anyone taking the first steps into their career, looking to enhance their professional skills on the machine Learning.

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


On successful completion of the Machine Learning course, you will be eligible to obtain a verifiable certificate as proof of your new qualification. This means that you/your employer can verify your qualification through our website. Certificate can be obtained in PDF version at a cost of £10, and there is an additional fee to obtain a printed copy certificate which is £29.

Who is this course for?

Machine Learning Course Accredited By Qualified Professionals

This comprehensive Machine Learning course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of machine Learning.

This Machine Learning course is felicitous for those, who want to be the best in their jobs.

Whether you are completely new to the field or are an aspiring professional, the Machine Learning course will help open doors to a wide range of professions within your chosen field, helping you to stand out to employers with an accredited qualification that can be used to enhance your CV.


Machine Learning Course Accredited By Qualified Professionals

  • There are no academic entry requirements for this Machine Learning course, and it is open to students of all academic backgrounds.
  • As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol.

Career path

This Machine Learning course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your qualifications to your CV, enhance your career and become more competitive in your chosen industry.

Questions and answers

Currently there are no Q&As for this course. Be the first to ask a question.


Currently there are no reviews for this course. Be the first to leave a review.


What does study method mean?

Study method describes the format in which the course will be delivered. At courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

What are CPD hours/points?

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on, many of which can be completed online.

What is a ‘regulated qualification’?

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

What is an ‘endorsed’ course?

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body’s logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.


Mobile Navigation