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Machine Learning

QLS Level 5 Diploma | CPD Certified |*Free Ketogenic Diet Course, MCQ Exam & Full Tutor Support Included*|100% Pass Rate


Knowledge Door

Summary

Price
Save 95%
£10 inc VAT (was £249)
Offer ends 01 August 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

This extensive Machine Learning course has been designed to equip you with the essential knowledge and skills needed to become a fully professional machine learning engineer and will give you all the practical knowledge & credentials that you need to excel in your new role.

This Machine Learning 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, non-regulated provision and training programmes across a wide range of industries.

If you are aspiring to start your career as a machine learning engineer or you just want to boost your knowledge and skills on machine learning, but don’t know where to start, then this Machine Learning course will set you up with the appropriate skills and expertise needed to take your professionalism to the next level.

This comprehensive Machine Learning course will give you all the necessary skills and a valuable insight into machine learning to boost your career in this field and possibilities, by getting the essential skills and knowledge you’ll need from this Machine Learning course. There are always new skills to learn and new knowledge to accumulate when you work as a machine learning engineer, this Machine Learning course will fully prepare you to embrace all of the essentials skills and knowledge in this field. 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.

Enrol today and get started on your journey to improve your career prospects with the latest skills and the power of self-belief!

Why Choose This Course:

  • Engaging and inventive e-learning course
  • Instructor-led distance learning
  • Get trained by industry experts
  • Easy to use and easy to follow
  • Learn the most in-demand skills
  • Expert tutors are always available for you via email
  • Kickstart your career with quality training

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

Why Learn with Us?

  • We have taught and certified more than 50,000+ students and organisations worldwide
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  • We believe in you. Your success is our success

The Machine Learning is one of our most popular training courses and is perfect for those individuals who want to start a new career path as a machine learning engineer, as well as established professionals who want to test their existing abilities and learn the latest techniques.

Course Curriculum

This comprehensive Machine Learning course has been divided into 113 interactive lessons. This makes for a more stimulating and comprehensive study of all the essential areas of machine learning, which also means that learners will be able to absorb the knowledge in manageable and intuitive segments and retain the vital information without even realising it.

This fully inclusive Machine Learning course includes the following modules:

Learn how to increase your expertise in machine learning by taking the following modules of this popular Machine Learning course.

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

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

The following module of the Machine Learning course will give the exact set of skills and information base that you’ll need to succeed in your chosen career path of machine learning.

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

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

Method of Assessment

After successfully completing the Machine Learning course, you will be required to sit an online multiple-choice assessment. The assessment will be evaluated automatically through the system and the results will be provided to you instantly.

Certificate of Achievement

Endorsed Certificate from Quality Licence Scheme

On successful completion of the course assessment, you will be eligible to obtain the Machine Learning at QLS Level 5 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, non-regulated provision and training programmes across a wide range of industries. This will provide you with a competitive edge in your career, developing you as a standout candidate among all other applicants and employees. There is a Quality Licence Scheme endorsement fee to gain an endorsed certificate which is £75.

Certificate of Achievement from Knowledge Door

On completion of the Machine Learning course, you will be eligible to obtain the certificate of achievement from Knowledge Door to evidence your new skill and accomplishment, as well as your knowledge and skill set. The certificate of achievement is available in PDF format, at the cost of £12, or a hard copy can be sent via post at the cost of £35.

Who is this course for?

Machine Learning Course

This comprehensive Machine Learning course is ideal for anyone who is looking to improve their skills and move on to more challenging roles in this sector. Completion of the Machine Learning course will prove your learning potential and provide the impetus to boost their career into whatever direction they choose but gaining an up-to-date perspective of everything involving machine learning.

The Machine Learning course will provide both established professionals and relative newcomers to machine learning with some real advantages, earning extensive knowledge and acquiring new skills which will make any candidate’s CV stand out in a crowded marketplace.

Requirements

Machine Learning Course

There is no previous experience or specific entry requirements needed to enrol into this Machine Learning course, any student from any background, and of any age, can enrol into this Machine Learning course and learn at their own pace.

As long as you are seventeen years old, have a basic knowledge of the English language and are relatively comfortable with rudimentary IT skills, you will be eligible to enrol into this Machine Learning course.

Career path

This Machine Learning course will bring you new opportunities and new possibilities in an ever-changing job market. Gain the latest techniques, theories, knowledge and confidence that you’ll need to procure the dream job you’ve been looking for. To achieve all this and to gather more valuable credits on your CV, this Machine Learning course could be a critical part of your future.

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.