4214 Software courses in Bradford delivered On Demand

Machine learning doesn’t need to be intimidating—especially when you’ve got R on your side. This course offers a clear, well-paced approach to learning machine learning using one of the most respected languages in data science. Whether you’re brushing up on your statistics or stepping into data modelling, the content is structured to help you think algorithmically and act analytically, without feeling overwhelmed by jargon or complexity. From regression techniques to classification methods and everything in-between, this course covers the core building blocks that give machine learning its predictive power. R is not just a programming language here—it’s your analytical toolkit. If terms like decision trees, clustering, and support vector machines sound like something out of a sci-fi novel, don’t worry—by the end, they’ll feel like familiar companions. Whether you’re analysing patterns or building predictive models, this course offers a confident route through the world of machine learning with an R-flavoured lens. Ask ChatGPT Learning Outcomes: Understand the basics of machine learning and its implementation using R. Develop the skills to build simple and multiple linear regression models. Learn how to use R to analyse datasets and develop predictive models. Understand the concept of dummy variables and the backward elimination approach. Learn how to make accurate predictions using machine learning algorithms and extract valuable insights from data. If you're looking to expand your knowledge in data analysis and machine learning, then the "Learn Machine Learning with R" course is perfect for you. This comprehensive course comprises two sections, each designed to help you gain an in-depth understanding of machine learning concepts, starting from the very basics. You'll learn about linear regression, the equation for the algorithm, and how to make simple linear regression models. Additionally, you'll dive into multiple linear regression, dummy variable concepts, and predictions over the year. With the help of this course, you'll be able to analyse datasets, develop predictive models, and extract valuable insights from them, using R. Learn Machine Learning with R Course Curriculum Section 01: Linear Regression and Logistic Regression Working on Linear Regression Equation Making the Regression of the Algorithm Basic Types of Algorithms predicting the Salary of the Employee Making of Simple Linear Regression Model Plotting Training Set and Work Section 02: Understanding Dataset Multiple Linear Regression Dummy Variable Concept Predictions Over Year Difference Between Reference Elimination Working of the Model Working on Another Dataset Backward Elimination Approach Making of the Model with Full and Null How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students or professionals looking to develop their data analysis and machine learning skills. Individuals interested in pursuing a career in data science or machine learning. Anyone interested in understanding how to extract insights from data. Programmers looking to learn machine learning implementation using R. Beginners interested in learning the basics of machine learning. Career path Data analyst: £30,000 to £50,000 Machine learning engineer: £45,000 to £85,000 Data scientist: £40,000 to £80,000 Business analyst: £30,000 to £55,000 Research analyst: £25,000 to £45,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

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Graph Theory Basics is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Graph Theory Basics and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 10 hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Course Promo Graph Theory Promo 00:02:00 Module 01: Supplements Textbook Recommendations 00:02:00 Tools and Softwares 00:05:00 Sets 00:09:00 Number Sets 00:10:00 Parity 00:12:00 Terminologies 00:07:00 Module 02: Fundamentals Introduction 00:03:00 Graphs 00:11:00 Subgraphs 00:09:00 Degree 00:10:00 Sum of Degrees of Vertices Theorem 00:23:00 Adjacency and Incidence 00:09:00 Adjacency Matrix 00:16:00 Incidence Matrix 00:08:00 Isomorphism 00:08:00 Module 03: Paths Introduction 00:01:00 Walks, Trails, Paths, and Circuits 00:13:00 Examples 00:10:00 Eccentricity, Diameter, and Radius 00:07:00 Connectedness 00:20:00 Euler Trails and Circuits 00:18:00 Fleury's Algorithm 00:10:00 Hamiltonian Paths and Circuits 00:06:00 Ore's Theorem 00:14:00 Dirac's Theorem 00:06:00 The Shortest Path Problem 00:16:00 Module 04: Graph Types Introduction 00:01:00 Trivial, Null and Simple Graphs 00:10:00 Regular Graphs 00:10:00 Complete, Cycles and Cubic Graphs 00:10:00 Path, Wheel and Platonic Graphs 00:11:00 Bipartite Graphs 00:14:00 Module 05: Trees Introduction 00:01:00 Trees 00:14:00 Cayley's Theorem 00:03:00 Rooted Trees 00:10:00 Binary Trees 00:14:00 Binary Tree Traversals 00:18:00 Binary Expression Trees 00:09:00 Binary Search Trees 00:19:00 Spanning Trees 00:10:00 Forest 00:07:00 Module 06: Digraphs and Tournaments Introduction 00:01:00 Digraphs 00:12:00 Degree 00:09:00 Isomorphism 00:08:00 Adjacency Matrix 00:10:00 Incidence Matrix 00:05:00 Walks, Paths and Cycles 00:12:00 Connectedness 00:05:00 Tournaments 00:08:00 Module 07: Planar Graphs Introduction 00:01:00 Planar Graphs 00:10:00 Kuratowski's Theorem 00:14:00 Euler's Formula 00:10:00 Dual Graphs 00:11:00 Module 08: Graph Operations Introduction 00:01:00 Vertex and Edge Deletion & Addition 00:08:00 Cartesian Product 00:10:00 Graph Join and Transpose 00:04:00 Complement Graphs 00:05:00 Module 09: Graph Colourings Introduction 00:01:00 Vertex Colourings 00:05:00 Edge Colourings 00:09:00 Total Colourings 00:05:00

NLP Practitioner Diploma is one of our best selling and most popular course. The NLP Practitioner Diploma is organised into 02 modules and includes everything you need to become successful in this profession. To make this course more accessible for you, we have designed it for both part-time and full-time students. You can study at your own pace or become an expert in just 4hours! If you require support, our experienced tutors are always available to help you throughout the comprehensive syllabus of this course and answer all your queries through email. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who is this course for? NLP Practitioner Diploma is suitable for anyone who want to gain extensive knowledge, potential experience and professional skills in the related field. This is a great opportunity for all student from any academic backgrounds to learn more on this subject.

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