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24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Did you know that Python is the fastest-growing programming language in the world? In the UK alone, the demand for Python developers has grown by a staggering 38% in the last year! If you're not one of them, now is the perfect time to get on board. And with our Diploma in Python Programming bundle, you can do just that. This diploma takes you on a structured learning journey, starting with the fundamentals of Python programming. You'll master essential concepts like data structures, control flow, and functions. As you progress, you'll delve into advanced topics like data science, machine learning, and even explore its application in specialised fields like spatial analysis. By the program's end, you'll be proficient in writing Python scripts to solve complex problems, analyse data, and automate tasks. With a single payment, you will gain access to Python Programming course, including 10 premium courses, a QLS Endorsed Hardcopy certificate (for the title course) and 11 PDF certificates for Absolutely free. This Diploma in Python Programming Bundle Package includes: Main Course: Diploma in Python Programming at QLS Level 5 10 Premium Additional CPD QS Accredited Courses - Course 01: Learn Programming with Python Course 02: Python Data Science Course 03: An Introduction to Graph Theory Course 04: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 05: Level-3 Machine Learning Course with Python Course 06: Learn to Use Python for Spatial Analysis in ArcGIS Course 07: Higher Order Functions in Python - Level 03 Course 08: Easy to Advanced Data Structures Course 09: Introduction to Data Analysis Course 10: Business Intelligence and Data Mining Diploma With so much valuable content included, it's no wonder that this bundle is quickly becoming one of our most popular offerings. So why wait? Enrol today and start your journey towards becoming a Python expert. Learning Outcomes of Python Programming Grasp fundamental Python concepts like variables, data types, operators, and control flow. Master essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization. Gain expertise in data analysis techniques and explore machine learning algorithms using Python. Implement Python for cloud deployment using platforms like AWS or Azure (course dependent). Utilise Python for spatial data analysis with ArcGIS (course dependent). Develop proficiency in writing clean, efficient, and maintainable Python code. Why Choose Us? Get a Free QLS Endorsed Certificate upon completion of Python Programming Get a free student ID card with Python Programming Training program (£10 postal charge will be applicable for international delivery) The Python Programming is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Python Programming course materials The Python Programming comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Main Course: Diploma in Python Programming at QLS Level 5 Unit 01: Introduction To Python Programming Unit 02: Getting Started With Python Unit 03: Conditional Branching With Python Unit 04: Importing External/Internal Library In Python Unit 05: Project Rock Paper And Scissors Unit 06: Strings Operation In Python Unit 07: Date And Time In Python Unit 08: File Handling, Read And Write Using Python Unit 09: Data Storage Structures, Tuple, List And Dictionary Unit 10: Writing User Functions In Python Unit 11: Sending Mail Unit 12: Import Tricks In Python Unit 13: Import Operating System And Platform Unit 14: Exceptions Handling In Python Unit 15: Installing Packages And Scheduling In Python Unit 16: Data Base In Python Using Sqlite Unit 17: Running Program From Command Prompt And Jupyter Notebook Unit 18: Conclusion Course 01: Learn Programming with Python Module 01 A Installing Python FREE Documentation Command Line Variables Simple Python Syntax Keywords Import Module Module 02 Additional Topics If Elif Else Iterable For Loops Execute Exceptions Module 03 Data Types Number Types More Number Types Strings More Strings Files Lists Dictionaries Tuples Sets Course 02: Python Data Science Unit 01: Introduction To Python Data Science Module 01: Introduction to Python Data Science Module 02: Environment Setup Unit 02: Data Cleaning Packages Module 01: Numpy package for calculations Module 02: Panda package for Data cleaning Unit 03: Data Visualization Packages Module 01: Matplotlib Data Visualization Part 1 Module 02: Matplotlib Data Visualization Part 2 =========>>>>> And 8 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your QLS Endorsed Certificates and CPD Accredited Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*11 = £143) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £119) CPD 255 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Individuals who want to become proficient Python programmers. Professionals who want to enhance their programming skills. Students who want to pursue a career in data science or machine learning. Anyone interested in learning Python programming language. Requirements There is no formal requirements to enrol in this course. Career path This bundle will help you to develop your knowledge and skills to pursue different careers, such as Junior Python Developer: £25,000 - £40,000 per year. Data Analyst: £26,000 - £50,000 per year. Machine Learning Engineer: £40,000 - £80,000 per year. Data Scientist: £45,000 - £85,000 per year. Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD QS Accredited Certificate Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. Diploma in Python Programming at QLS Level 5 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.

Deepen your knowledge and understanding of water chemistry with the Water Chemistry Level 2 course. This course will provide you with insights into the components and the process of water treatment. You will also receive a valuable certificate upon completing the course. This certificate will elevate your resume and boost your employability in the relevant job market. The Water Chemistry Level 2 course will introduce you to the basics of chemistry. From this step-by-step learning process, you will learn the Alkalinity of water. The course will cover lessons on the principles of hard water and basic water treatment. You will comprehend the process of chemical water treatment. The informative modules will increase your knowledge of inorganic chemicals, volatile and synthetic organic compounds. From this comprehensive course, you will also attain the skills to maintain the safety and security of the laboratory. It will educate you on the essentials of chemical hygiene measures. The Water Chemistry Level 2 course is the perfect package to build your skills in water chemistry. Enrol now and start learning. Learning Objectives Familiarise yourself with the basics of chemistry Enrich your understanding of Alkalinity of Water Learn the principles of hard water and basic water treatment Know the chemical process of water treatment Get introduced to inorganic chemicals, volatile and synthetic organic compounds Deepen your understanding of the laboratory safety measures Explore the essential aspects of the chemical hygiene plan Who is this Course for? This Water Chemistry Level 2 course is ideal for aspiring professionals of the relevant industries who wish to gain the relevant skills and knowledge to fast track their careers. It is for those who have little or no knowledge of the principles of water chemistry or those who are new to the field and want to test their skills and knowledge. There are no entry requirements for this course; however, an eye for detail and a creative mind is essential. Entry Requirement This course is available to all learners of all academic backgrounds. A good understanding of the English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path On successful completion of the Water Chemistry Level 2 course, learners can progress to a more advanced program from our course list. Career opportunities in this field include freelancing or working in-house, within a range of professional settings, with the opportunity to earn a high salary. Related professions in this industry include: Water Treatment Operator Environmental Scientist Project Engineer Environmental Engineer Water Operator Course Curriculum Module 01: Introduction to Water Chemistry Introduction to Water Chemistry 00:23:00 Module 02: Concepts of Basic Chemistry Concepts of Basic Chemistry 00:22:00 Module 03: Alkalinity of Water Alkalinity of Water 00:15:00 Module 04: Hard Water and Basic Water Treatment Principles Hard Water and Basic Water Treatment Principles 00:20:00 Module 05: Water Treatment and Purification Water Treatment and Purification 00:31:00 Module 06: Chemical Processes of Water Treatment Chemical Processes of Water Treatment 00:16:00 Module 07: Inorganic Chemicals Inorganic Chemicals 00:17:00 Module 08: Volatile and Synthetic Organic Compounds Volatile and Synthetic Organic Compounds 00:25:00 Module 09: Metalloid Section Metalloid Section 00:18:00 Module 10: Metals and Heavy Metal Section Metals and Heavy Metal Section 00:33:00 Module 11: Laboratory Safety Laboratory Safety 00:33:00 Module 12: Chemical Hygiene Plan Chemical Hygiene Plan 00:13:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

If you aim to enhance your Biomedical Engineering skills, our comprehensive Biomedical Engineering course is perfect for you. Designed for success, this Biomedical Engineering course covers everything from basics to advanced topics in Biomedical Engineering. Each lesson in this Biomedical Engineering course is crafted for easy understanding, enabling you to become proficient in Biomedical Engineering. Whether you are a beginner or looking to sharpen your existing skills, this Biomedical Engineering is the ideal choice. With our Biomedical Engineering exclusive bundle, you will get a PDF Certificate, PDF Transcript and Digital Student ID Card (worth £50) Absolutely FREE. Courses are Included in This Biomedical Engineering Bundle: Course 01: Biomedical Science Course 02: Biochemistry Course 03: Diploma in Microbiology Course 04: Biotechnology Course 05: Genetics Course 06: Healthcare GDPR Training Why Choose Our Biomedical Engineering Course? FREE Biomedical Engineering certificate accredited Get a free student ID card with Biomedical Engineering Training Get instant access to this Biomedical Engineering course. Learn Biomedical Engineering from anywhere in the world The Biomedical Engineering is affordable and simple to understand The Biomedical Engineering is an entirely online, interactive lesson with voiceover audio Lifetime access to the Biomedical Engineering course materials The Biomedical Engineering comes with 24/7 tutor support So enrol now in this Biomedical Engineering Today to advance your career! Start your learning journey straightaway! This Biomedical Engineering's curriculum has been designed by Biomedical Engineering experts with years of Biomedical Engineering experience behind them. The Biomedical Engineering course is extremely dynamic and well-paced to help you understand Biomedical Engineering with ease. You'll discover how to master the Biomedical Engineering skill while exploring relevant and essential topics. Assessment Process Once you have completed all the courses in the Biomedical Engineering bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Biomedical Engineering bundle is suitable for everyone. Requirements You will not need any prior background or expertise. Career path This Biomedical Engineering bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - £28 If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate

Level 3 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access

Gain expertise in smart meter installation and electricity through comprehensive meter training courses.

Fire Extinguisher Training is a vital course that imparts essential skills to protect lives and property from fire outbreaks. In this course, you'll learn how to identify the different types of fires and the proper use of extinguishers, including their selection and maintenance. You'll also gain an understanding of the legal and safety requirements for the use of fire extinguishers. By the end of this course, you'll be equipped with the necessary knowledge and skills to prevent and manage fire outbreaks. Learning Outcomes: Understand the different classes of fire and the appropriate fire extinguisher to use Gain practical experience in using fire extinguishers to control small fires Know the legal requirements for the placement, use, and maintenance of fire extinguishers Understand how to perform a risk assessment and evaluate fire hazards in a building Gain knowledge of the different standards for fire prevention and protection Know the pre and post-engagement actions required for using a fire extinguisher Develop a safety-first mindset towards fire prevention and management According to the UK government, there were over 150,000 fire incidents in the UK in 2020 alone. Fire safety is a crucial aspect of workplace and home safety, and it is everyone's responsibility to prevent and manage fire outbreaks. By learning about fire extinguisher training, individuals can play an active role in preventing and controlling fires, thereby saving lives and protecting property. Module 01: Understanding Fire In this module, you'll learn about the science of fire, its components, and the different classes of fire. You'll also learn about the common causes of fire and the different types of fire extinguishers. Module 02: Basics of Fire Extinguishers This module covers the different types of fire extinguishers, their components, and how to use them effectively. Module 03: Using Fire Extinguishers Safely This module covers the safety requirements for the use of fire extinguishers, including the proper handling, positioning, and maintenance. Module 04: Pre and Post Engagement Action This module covers the actions required before and after using a fire extinguisher, including the assessment of fire hazards and evaluation of risks. Module 05: Laws Regarding Fire Extinguisher This module covers the legal requirements for the placement, use, and maintenance of fire extinguishers. Module 06: Standards on Fire Protection and Prevention This module covers the different standards and codes for fire prevention and protection, including the role of fire safety equipment and systems. Module 07: Risk Assessment of Fire Extinguisher This module covers the different types of risk assessments and the evaluation of fire hazards in a building. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Employees working in any industry Business owners Individuals interested in fire safety Anyone who wants to learn how to use a fire extinguisher Career path Fire Safety Officer - £26,000 to £35,000 Health and Safety Manager - £30,000 to £45,000 Fire Safety Engineer - £30,000 to £50,000 Risk Assessor - £20,000 to £40,000

Develop a deep understanding of electricity pricing and marginal cost analysis with EnergyEdge's virtual instructor-led training course. Enroll now for a rewarding learning journey!

In the dynamic realm of heavy-duty operations, mastering the art of lifting is not just about hoisting weights; it's about orchestrating a symphony of safety, precision, and efficiency. Imagine yourself at the helm of colossal machinery, poised to elevate your expertise to new heights. From selecting the perfect equipment to meticulously planning each lift, our comprehensive curriculum equips you with the knowledge to navigate every facet of the lifting landscape. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access Delve into the intricacies of risk assessment, where every decision holds the weight of responsibility. Learn to decipher the language of inspections, ensuring that every component is primed for flawless performance. As you immerse yourself in the world of lifting operations, you'll unravel the threads of accountability, understanding the crucial roles each stakeholder plays in the pursuit of safety excellence. Join us on a journey where diligence meets dexterity, and where the mastery of lifting operations becomes your hallmark of distinction. Course Curriculum Module 01: Introduction to LOLER Module 02: Part 01 - Selecting Lifting Equipment and Accessories Module 03: Part 02 - Selecting Lifting Equipment and Accessories Module 04: Planning the Lifting Operation Module 05: Factors Affecting Safe Lifting Operation Module 06: Roles and Responsibilities Module 07: Risk Assessment Module 08: Examination and Inspection Module 09: Reports and Defects Learning Outcomes: Identify suitable lifting equipment and accessories for specific tasks. Plan lifting operations considering safety and operational efficiency guidelines. Recognize factors influencing the safety of lifting operations. Understand roles and responsibilities in ensuring safe lifting procedures. Conduct thorough risk assessments to mitigate potential hazards effectively. Perform examinations and inspections following LOLER regulations to ensure compliance. CPD 10 CPD hours / points Accredited by CPD Quality Standards LOLER Online Training 2:57:39 1: Module 01: Introduction to LOLER 11:32 2: Module 02: Part 01 - Selecting Lifting Equipment and Accessories 39:39 3: Module 03: Part 02 - Selecting Lifting Equipment and Accessories 24:35 4: Module 04: Planning the Lifting Operation 25:50 5: Module 05: Factors Affecting Safe Lifting Operation 13:51 6: Module 06: Roles and Responsibilities 09:23 7: Module 07: Risk Assessment 17:29 8: Module 08: Examination and Inspection 22:48 9: Module 09: Reports and Defects 11:32 10: CPD Certificate - Free 01:00 Who is this course for? Workers in construction, manufacturing, or logistics industries. Health and safety officers seeking LOLER compliance knowledge. Supervisors overseeing lifting operations in various industrial settings. Individuals aspiring to enhance their understanding of lifting regulations. Anyone involved in equipment selection, planning, and risk assessment. Career path Crane Operator Health and Safety Inspector Lifting Equipment Engineer Construction Site Manager Warehouse Supervisor Logistics Coordinator Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

In the dynamic realm of heavy-duty operations, mastering the art of lifting is not just about hoisting weights; it's about orchestrating a symphony of safety, precision, and efficiency. Imagine yourself at the helm of colossal machinery, poised to elevate your expertise to new heights. From selecting the perfect equipment to meticulously planning each lift, our comprehensive curriculum equips you with the knowledge to navigate every facet of the lifting landscape. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access Delve into the intricacies of risk assessment, where every decision holds the weight of responsibility. Learn to decipher the language of inspections, ensuring that every component is primed for flawless performance. As you immerse yourself in the world of lifting operations, you'll unravel the threads of accountability, understanding the crucial roles each stakeholder plays in the pursuit of safety excellence. Join us on a journey where diligence meets dexterity, and where the mastery of lifting operations becomes your hallmark of distinction. Course Curriculum Module 01: Introduction to LOLER Module 02: Part 01 - Selecting Lifting Equipment and Accessories Module 03: Part 02 - Selecting Lifting Equipment and Accessories Module 04: Planning the Lifting Operation Module 05: Factors Affecting Safe Lifting Operation Module 06: Roles and Responsibilities Module 07: Risk Assessment Module 08: Examination and Inspection Module 09: Reports and Defects Learning Outcomes: Identify suitable lifting equipment and accessories for specific tasks. Plan lifting operations considering safety and operational efficiency guidelines. Recognize factors influencing the safety of lifting operations. Understand roles and responsibilities in ensuring safe lifting procedures. Conduct thorough risk assessments to mitigate potential hazards effectively. Perform examinations and inspections following LOLER regulations to ensure compliance. CPD 10 CPD hours / points Accredited by CPD Quality Standards LOLER Online Training 2:57:39 1: Module 01: Introduction to LOLER 11:32 2: Module 02: Part 01 - Selecting Lifting Equipment and Accessories 39:39 3: Module 03: Part 02 - Selecting Lifting Equipment and Accessories 24:35 4: Module 04: Planning the Lifting Operation 25:50 5: Module 05: Factors Affecting Safe Lifting Operation 13:51 6: Module 06: Roles and Responsibilities 09:23 7: Module 07: Risk Assessment 17:29 8: Module 08: Examination and Inspection 22:48 9: Module 09: Reports and Defects 11:32 10: CPD Certificate - Free 01:00 Who is this course for? Workers in construction, manufacturing, or logistics industries. Health and safety officers seeking LOLER compliance knowledge. Supervisors overseeing lifting operations in various industrial settings. Individuals aspiring to enhance their understanding of lifting regulations. Anyone involved in equipment selection, planning, and risk assessment. Career path Crane Operator Health and Safety Inspector Lifting Equipment Engineer Construction Site Manager Warehouse Supervisor Logistics Coordinator Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00