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Whether you’re behind the wheel for work or leisure, road awareness isn’t optional — it’s essential. This Driver Safety Awareness course is designed to sharpen your understanding of key safety principles and highlight common risk areas that often go unnoticed. You’ll explore important topics including defensive driving techniques, hazard recognition, fatigue awareness, and the role of mindset in maintaining alertness. The course content is structured for learners of all experience levels and is delivered entirely online, allowing you to study at your own pace without disruption to your daily routine. From responsible vehicle operation to understanding how everyday decisions impact road safety, this course provides clear, accessible insights that are directly applicable to modern driving environments. And with CPD accreditation, you can add it to your professional development record with confidence. Still not convinced? Take a glimpse of the key benefits you'll get with - Lessons prepared in collaboration with Professionals User-friendly Learner Management System (LMS) Syllabus designed in line with the standards of the UK Education System Updated Study Materials focusing both on Knowledge and Skill based training Guidance to expand in 'a' territory and move forward with Driver Safety Instructor profession Free Assessment to test learners' knowledge and skills Accredited learning and widely recognised certificate from reputed CPD Accreditation Bodies Course Curriculum: Lesson 01: Introduction to Safe Driving Lesson 02: Reading the Signals and Marks on the Road Lesson 03: Pre-Journey Safety Check (Vehicle and Driver) Lesson 04: Safe Driving Tactics for Driving in the UK Lesson 05: Driving in Poor Condition Lesson 06: Driving and Human Health Lesson 07: In the Events of Accidents and Breakdowns Lesson 08: Laws and Policies Involving Road Safety Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing the Driver Safety Awareness - CPD Accredited course. For each test, the pass mark will be set to 60%. CPD 10 CPD hours / points Accredited by The CPD Certification Service Who is this course for? The Driver Safety Awareness - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Please remember, this is not a regulated course or not a proper Driver CPC course. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Driver Safety Awareness - CPD Accredited training. Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Understanding dyslexia is not just about recognising letters that dance on a page—it’s about appreciating the unique ways people think and process information. This Dyslexia Training Course delves into the essential knowledge needed to support individuals with dyslexia effectively. Designed with clarity and purpose, the course provides valuable insights into common challenges faced by dyslexic learners, along with strategies to create a supportive and encouraging environment. Whether you’re an educator, employer, or simply keen to broaden your awareness, this course equips you with the understanding to recognise dyslexia’s impact without overwhelming jargon or unnecessary complexity. With a well-balanced blend of research-backed information and thoughtful guidance, it’s an engaging journey that will leave you better prepared to foster confident communication and smoother learning experiences. No need to fret—this course fits perfectly into your schedule, requiring only your dedication and curiosity. Why People Enrol this course From One Education: Receive an Endorsed certificate upon successful completion of the course Learning materials of our course contains engaging voiceover and visual elements for your comfort Get 24/7 access to all course content for a full year Complete the course at your own pace Each of our students gets full tutor support on weekdays (Monday to Friday) Efficient assessments and instant results upon completion of our course Course Curriculum Section A- Autism Module 1: Autism Spectrum Disorder (ASD) Module 2: Learning Difficulties Related to Autism Module 3. Autism Diagnosis Module 4. Cognitive Approaches to Autism Module 5. Dealing with Autistic Individuals Module 6. Other Considerations for Dealing with Autistic Individuals Module 7. Engagement in Autism Awareness Section B- Dyslexia Module 1. Introduction to Dyslexia Dyslexia Symptoms Types Module 2: Dyslexia and Learning Difficulties Specific Learning Difficulties Dyspraxia, or Developmental Coordination Disorder Dysgraphia Module 3: Dyslexia in the School Writing and Spelling Speaking and Listening Mathematics and Science Module 4: Cognitive Approaches in Dyslexia Cognitive Behaviour Therapy (CBT) Approaches and Programmes Used by Specialists Structured Cumulative Approaches Module 5: Law for Dyslexia How the Law Protects Disabled People UK Laws Dedicated to Protect Dyslexic People How These Laws Apply at Schools How is this course assessed? To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the course, learners will be able to order an endorsed certificate as proof of their achievement. Hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post, by paying - Within the UK: £109 International: £109 + £10 (postal charge) = £119 Certification from One Education After successfully completing this course, you will qualify for the certificate from One Education, as proof of your continued professional development. Certification is available in both PDF & hardcopy format, which can be received by paying - PDF Certificate: £9 Hardcopy Certificate (within the UK): £15 Hardcopy Certificate (international): £15 + £10 (postal charge) = £25 CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Online Training is ideal for People looking to kickstart their career in helping people Anyone looking to learn all about autism and dyslexia Students Requirements There are no specific prerequisites to enrol in this online training. Anyone and everyone can take this course. The course is fully accessible from any internet-enabled smart device. Career path Compliance Officer - £35,000-£70,000 per annum Risk Manager - £40,000-£80,000 per annum Legal Compliance Consultant - £40,000-£70,000 per annum Financial Crimes Investigator - £30,000-£60,000 per annum Anti-Money Laundering Analyst - £25,000-£40,000 per annum Regulatory Affairs Manager - £50,000-£80,000 per annum

Duration 5 Days 30 CPD hours This course is intended for Software Engineers and DevOps professionals working in an Enterprise developing mission critical line of business applications. Overview By the end of this course, students will be able to: Assess the advantages of a containerized software development & deployment Use Docker engine features necessary for running containerized applications Utilize Swarm and Kubernetes orchestrators to deploy, maintain, and scale a distributed application Describe the essential patterns used in a highly distributed EE application Understand how to configure EE applications for different environments without code changes Produce and containerize scalable, accessible, and fault-tolerant EE applications Apply different debugging and testing techniques to containerized EE applications The Docker Fundamentals + Enterprise Operations Bundle includes the full Docker for Enterprise Operations course as well as the prerequisite Docker Fundamentals course run back to back in a single intensive training experience. The Docker Fundamentals training course features the foundational concepts and practices of containerization on a single Docker node. The course offers learners the opportunity to assimilate basic container orchestration and how to scale Docker across multiple nodes in a simple swarm cluster. This course provides essential foundational knowledge for subsequent Docker courses. As the follow-on to the Docker Fundamentals course, Docker for Enterprise Operations is a role-based course is designed for Docker Operations teams to accelerate their Docker journey in the enterprise. The course covers in-depth core advanced features of Docker EE and best practices to apply these features at scale with enterprise workloads. Platform Availability: Linux, Windows (Fundamentals Only). Introducing Docker Containerization Fundamentals Creating Images Docker Volumes Docker Networking Basics Introduction to Docker Compose Introduction to Swarm Mode Introduction to Kubernetes Secrets Fundamentals Signature Assignment Distributed Application Architecture Sample Application Edit and Continue Debugging Docker Compose Testing Service Discovery Defensive Programming Logging and Error Handling Health Checks Secrets Configuration Management Development Pipeline Overview Universal Control Plane Docker Trusted Registry Repository Automation Build Server

Duration 3 Days 18 CPD hours This course is intended for Application Consultants and Program Managers Overview Participants learn about the SAP Activate methodology in agile implementation techniques in SAP projects.The course enables participants to apply the Agile techniques in their projects through project use cases and simulations.This class is highly interactiveThis course complements agile courses from other providers, like Certified Scrum Master and/or PMI-ACP training. In this course, students will gain knowledge on how to use techniques in SAP projects. The Basics Agile and SCRUM 101 Introduction to SAP Activate Agile Project Fit Starting Agile Roles and Responsibilities Agile Project Organisation Prepare Agile Project Backlog Explore Phase Overview Create Product Backlog Definition of Done Iterative Build Release Planning Sprint Cycle Testing and Deploy Summary of Key Points Summary and key points Appendices Agile Manifesto Agile Use Cases Agile Fit Questions Agile Lean Design Templates Agile and SAP Solution Manager Additional course details: Nexus Humans ACT200 SAP Agile Project Delivery training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the ACT200 SAP Agile Project Delivery course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours Articulate Rise 360 is a elearning authoring tool that lets you create beautiful, fully-responsive interactive courses fast. All you need to use Rise is an internet connection and a web browser to get started. This one day workshop covers the full creation of a Rise project from beginning to end and demonstrates how you can customize the look of your course with different themes, create lessons, add blocks and integrate flashcards and quizzes. Getting Started with Rise Logging into Articulate Touring the Rise Interface Previewing a Rise Course Creating a New Rise Course Creating a Lesson Creating a Video Lesson Creating a Labeled Graphic Lesson Creating a Process Lesson Creating a Sorting Activity Lesson Creating a URL Embed Lesson Creating a Quiz lesson Customizing Lessons Understanding Blocks Image and Gallery Blocks Multimedia Blocks Interactive Blocks Divider Blocks Course Settings Customizing Theme Settings Customizing Label Settings Customizing Navigation Settings Sharing and Exporting Your Project Sharing a Rise Course Exporting a Rise Course Additional course details: Nexus Humans Articulate Rise 360 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Articulate Rise 360 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

VAT Accounting, Preparation and Submission Training Course Overview: Knowledge of how to prepare and submit VAT Return can help you to stand out from the crowd of job seekers. Moreover, if you are running a business or thinking of running a business, the vat training course will help you to understand the issues relating to vat more clearly and help process VAT Return more accurately and efficiently. Our VAT Training courses are eligible CPD Training for accountants and attending this course can give you a more detailed understanding of how to do a VAT return correctly. What is VAT Return? Almost every business has to submit a VAT Return. VAT Return contains Output VAT and Input VAT information to be submitted to Taxman (HMRC). Through the VAT return, HMRC knows exactly how much the business owes to HMRC. Moreover, HMRC can pay back any VAT amount overpaid which only can be determined through an accurate VAT return. How to do VAT Return Firstly, businesses need to register with HMRC before they can process a VAT Return. Businesses must fulfil the criteria to become VAT registered and to get a VAT Registration no. Once the business is registered they can then regularly submit the VAT return using specified VAT forms. There are many VAT Schemes available in general. There are some specialised VAT schemes available only for specific industries. Certificate of Attendance Understanding VAT Principles Analysis of different VAT Scheme Preparing VAT in Spreadsheet Reconciliation of VAT Completing a VAT return Import and Export VAT analysis Calculating VAT for a business with mixed zero-rated and standard-rated sales, using Spreadsheet Introduction of TOMS (Tour Operator Margin Scheme) Submission Steps of VAT Return to HMRC Introduction to Making Tax Digital(VAT) scheme

Overview Knowledge of how to prepare and submit VAT Return can help you to stand out from the crowd of job seekers. Moreover, if you are running a business or thinking of running a business, the vat training course will help you to understand the issues relating to vat more clearly and help process VAT Return more accurately and efficiently. Our VAT Training courses are eligible CPD Training for accountants and attending this course can give you a more detailed understanding of how to do a VAT return correctly. What is VAT Return? Almost every business has to submit a VAT Return. VAT Return contains Output VAT and Input VAT information to be submitted to Taxman (HMRC). Through the VAT return, HMRC knows exactly how much the business owes to HMRC. Moreover, HMRC can pay back any VAT amount overpaid which only can be determined through an accurate VAT return. How to do VAT Return Firstly, businesses need to register with HMRC before they can process a VAT Return. Businesses must fulfil the criteria to become VAT registered and to get a VAT Registration no. Once the business is registered they can then regularly submit the VAT return using specified VAT forms. There are many VAT Schemes available in general. There are some specialised VAT schemes available only for specific industries. Understanding VAT Principles Analysis of different VAT Scheme Preparing VAT in Spreadsheet Reconciliation of VAT Completing a VAT return Import and Export VAT analysis Calculating VAT for a business with mixed zero-rated and standard-rated sales, using Spreadsheet Introduction of TOMS (Tour Operator Margin Scheme) Submission Steps of VAT Return to HMRC Introduction to Making Tax Digital(VAT) scheme

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Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00