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Machine Learning

**Accredited by CPD & IPHM**|*Free Health and Fitness Course, MCQ Exam & Full Tutor Support Included *|*100% Pass Rate*


Lead Academy

Summary

Price
Save 95%
£10 inc VAT (was £205)
Offer ends 24 September 2021
Study method
Online, self-paced
Access to content
Lifetime access
Qualification
No formal qualification
CPD
12 CPD hours / points
Achievement
Additional info
  • Exam(s) / assessment(s) is included in price
  • Tutor is available to students

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Overview

*Quality Licence Scheme Endorsed* + *CPD & IPHM Accredited* + *100% Pass Rate*

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 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.

This comprehensive Machine Learning course is the perfect way to kickstart your career in the field of Machine learning. This 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 skills 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. This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website.

Why Choose Lead Academy:

  • Certified by CPD
  • Accredited by The International Practitioners of Holistic Medicine (IPHM)
  • Endorsed by Quality Licence Scheme
  • Free Health and Fitness Course
  • Lifetime Access
  • High-quality e-learning study materials
  • Self-paced, no fixed schedules
  • 24/7 customer support through email
  • Available to students anywhere in the world
  • Study in a user-friendly, advanced online learning platform

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!

Achievement

CPD

12 CPD hours / points
Accredited by The CPD Certification Service and International Practitioners of Holistic Medicine (IPHM)

Course media

Description

Machine Learning Course

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 11 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

  • Machine Learning - Introduction

Setting up R Studio and R crash course

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

Basics of Statistics

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

Intorduction to Machine Learning

  • Machine Learning - Introduction to Machine Learning
  • Machine Learning - Building a Machine Learning Model

Data Preprocessing for Regression Analysis

  • Machine Learning - Gathering Business Knowledge
  • Machine Learning - Data Exploration
  • Machine Learning - The Data and the Data Dictionary
  • Machine Learning - Importing the dataset into R
  • Machine Learning - Univariate Analysis and EDD
  • Machine Learning - EDD in R
  • Machine Learning - Outlier Treatment
  • Machine Learning - Outlier Treatment in R
  • Machine Learning - Missing Value imputation

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

  • Machine Learning - The problem statement
  • Machine Learning - Basic equations and Ordinary Least Squared (OLS) method
  • Machine Learning - Assessing Accuracy of predicted coefficients
  • Machine Learning - Assessing Model Accuracy – RSE and R squared
  • Machine Learning - Simple Linear Regression in R
  • Machine Learning - Multiple Linear Regression
  • Machine Learning - The F – statistic
  • Machine Learning - Interpreting result for categorical Variable

Regression models other than OLS

  • Machine Learning - Linear models other than OLS
  • Machine Learning - Subset Selection techniques
  • Machine Learning - Subset selection in R

Classification Models: Data Preparation

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

The Three classification models

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

Logistic Regression

  • Machine Learning - Logistic Regression
  • Machine Learning - Training a Simple Logistic model in R
  • Machine Learning - Results of Simple Logistic Regression
  • Machine Learning - Logistic with multiple predictors

Linear Discriminant Analysis

  • Machine Learning - Linear Discriminant Analysis
  • Machine Learning - Linear Discriminant Analysis in R

K-Nearest Neighbors

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

Comparing results from 3 models

  • Machine Learning - Understanding the results of classification models
  • Machine Learning - Summary of the three models

Simple Decision Trees

  • Machine Learning - Basics of Decision Trees
  • Machine Learning - The Data set for this part
  • Machine Learning - Importing the Data set into R
  • Machine Learning - Splitting Data into Test and Train Set in R

Simple Classification Tree

  • Machine Learning - Classification Trees
  • Machine Learning - The Data set for Classification problem
  • Machine Learning - Building a classification Tree 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

  • Machine Learning - Boosting techniques
  • Machine Learning - Gradient Boosting in R
  • Machine Learning - AdaBoosting in R
  • Machine Learning - XGBoosting in R

Maximum Margin Classifier

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

Support Vector Classifier

  • Machine Learning - Support Vector classifiers
  • Machine Learning - Limitations of Support Vector Classifiers

Creating Support Vector Machine Model in R

  • Machine Learning - The Data set for the Classification problem
  • Machine Learning - Importing Data into R
  • Machine Learning - Test-Train Split
  • Machine Learning - Classification SVM model using Linear Kernel
  • Machine Learning - Hyperparameter Tuning for Linear Kernel

Method of Assessment

On successful completion of the course, you will be required to sit an online multiple-choice assessment. The assessment will be evaluated automatically and the results will be given to you immediately.

Certificate of Achievement

Endorsed Certificate from Quality Licence Scheme

After successfully passing the MCQ exam you will be eligible to obtain Machine Learning Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organization for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65.

Certificate of Achievement from Lead Academy

After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35.

Who is this course for?

Machine Learning Course

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 up to date skills that can be used to enhance your CV.

Requirements

Machine Learning Course

  • 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 new skills to your CV, enhance your career and become more competitive in your chosen industry.

Questions and answers

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FAQs

What does study method mean?

Study method describes the format in which the course will be delivered. At reed.co.uk 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 reed.co.uk, 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.