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RQF level 1 Awareness of Safeguarding The RQF Level 1 Awareness of Safeguarding course is designed to provide individuals with a basic understanding of safeguarding principles and practices. It aims to raise awareness about the importance of safeguarding and promote the well-being and protection of vulnerable individuals, such as children, young people, and adults at risk. The course covers the following topics: Introduction to Safeguarding: Definition and importance of safeguarding. Key legislation, policies, and guidance related to safeguarding. Roles and responsibilities of individuals and organizations in safeguarding. Types of Abuse and Neglect: Overview of different types of abuse, including physical, emotional, sexual, and financial abuse. Recognizing signs and indicators of abuse and neglect. Understanding the impact of abuse on individuals' well-being. Vulnerable Groups: Identifying vulnerable groups, such as children, young people, older adults, and individuals with disabilities or mental health issues. Understanding the specific safeguarding concerns and considerations for each group. Reporting and Responding to Safeguarding Concerns: Procedures for reporting safeguarding concerns or disclosures. Understanding the importance of maintaining confidentiality and handling sensitive information appropriately. Responding to safeguarding concerns in a timely and appropriate manner. Promoting Safeguarding and Preventing Abuse: Strategies for promoting a safe and inclusive environment. Recognizing potential risk factors and implementing preventative measures. Understanding the importance of creating a culture of safeguarding within organizations. Multi-Agency Collaboration: Collaboration between different agencies and organizations involved in safeguarding, such as social services, law enforcement, and healthcare. Sharing information and working together to ensure effective safeguarding practices. Case Studies and Scenarios: Reviewing case studies and scenarios to apply safeguarding principles and practices. Analysing potential safeguarding dilemmas and decision-making processes. Personal Responsibilities: Recognizing personal boundaries and limitations when working with vulnerable individuals. Understanding the importance of self-care and managing emotional well-being when dealing with safeguarding issues. It is important to ensure that the course meets local safeguarding guidelines and requirements. Suitability - Who should attend? The RQF Level 1 Awareness of Safeguarding course is suitable for a wide range of individuals who may come into contact with vulnerable individuals or have a general interest in understanding safeguarding principles. Here are some key groups of people who should attend the course: Employees and Staff: The course is relevant for employees and staff members across various sectors and industries, including but not limited to education, healthcare, social services, hospitality, sports and recreation, and community organizations. It helps them develop a basic understanding of safeguarding principles and their responsibilities in ensuring the well-being and protection of vulnerable individuals they may encounter in their work. Volunteers: Individuals who volunteer their time and services in organizations that work with vulnerable individuals should attend the course. It equips them with essential knowledge and awareness of safeguarding issues, helping them provide appropriate support and maintain the safety and dignity of those they interact with. Parents and Caregivers: The course can benefit parents, guardians, and caregivers by providing them with a foundation in safeguarding principles. It helps them recognize potential risks and signs of abuse or neglect, enabling them to create safer environments for the children or vulnerable individuals under their care. Community and Youth Workers: Individuals involved in community work, youth organizations, or youth clubs should attend the course to enhance their understanding of safeguarding. It enables them to promote the well-being and safety of young people and recognize signs of potential abuse or exploitation. Volunteers or Trustees of Charitable Organizations: Individuals serving as volunteers or trustees in charitable organizations that work with vulnerable populations can benefit from the course. It helps them fulfill their responsibilities in safeguarding the individuals the organization serves and ensures they are aware of their legal and ethical obligations. General Public: The course is open to the general public as it provides valuable knowledge and awareness of safeguarding principles. It can benefit individuals who have an interest in understanding the rights and protection of vulnerable individuals in society. It's important to note that the RQF Level 1 Awareness of Safeguarding course provides foundational knowledge and awareness. For individuals who require more in-depth training or who have specific safeguarding roles or responsibilities, higher-level courses may be more suitable. Outcome / Qualification etc. Certification The qualification does not have an expiry date but refresher training and keeping up to date with changes to policies, procedures and new legislation through ongoing CPD is vital. Training Course Content Module 1 Introductions Module 2 Safeguarding legislation and guidance Module 3 Roles and responsibilities Module 4 Abuse and neglect Module 5 Identifying concerns and disclosure Module 6 Making judgements Module 7 Reporting concerns Module 8 Course closure and assessment MODULE 1 INTRODUCTIONS Session content Trainer/Assessor introduction Learner introductions Course syllabus Learning outcomes and assessment criteria Session duration 20 minutes MODULE 2 SAFEGUARDING LEGISLATION AND GUIDANCE Session content Introduction to safeguarding Definitions Assessment framework Safeguarding statistics Safeguarding legislation and guidance Rights of a child/adult at risk Session duration 40 minutes MODULE 3 ROLES AND RESPONSIBILITIES Session content Safeguarding partnerships Local authority safeguarding officer Social care services Multi-agency safeguarding hubs Organisational safeguarding policies Safeguarding lead Session duration 30 minutes MODULE 4 ABUSE AND NEGLECT Session content Definitions Types of abuse and neglect Physical abuse Emotional abuse Sexual abuse Neglect Signs and indicators Parent/carer abuse Radicalisation FGM Forced marriage Modern slavery County line gangs Electronic media abuse - Internet and social networking dangers Session duration 50 minutes MODULE 5 IDENTIFYING CONCERNS AND DISCLOSURE Session content Identifying concerns Being a point of disclosure Recording disclosure information Session duration 20 minutes MODULE 6 MAKING JUDGEMENTS Session content Child development needs Identifying a safeguarding concern Group activity making judgements Session duration 30 minutes MODULE 7 REPORTING CONCERNS Session content Silencing factors Barriers to raising concerns Reporting concerns Importance of sharing concerns Session duration 20 minutes MODULE 8 COURSE CLOSURE AND ASSESSMENT Session content Course summary Assessment paper Course evaluation Course closure Session duration 30 minutes Course delivery details Qualification delivery The qualification has 4 assigned guided learning hours (GLH) and 5 hours total qualification time (TQT). GLH indicates the number of classroom contact hours that the learner will undertake. TQT includes GLH but also takes into account any unsupervised learning and is an estimate of how long the average learner will take to complete the qualification. The minimum classroom contact time of 4 hours should be delivered over a minimum of half a day. The course can be spread over a maximum of 2 weeks, ensuring that each session is a minimum of two hours. The class ratio for this qualification is a maximum of 16 learners to 1 Trainer/Assessor Why choose Madeleys First Aid Plus Founded in 2021 after Louise left 30 years in the NHS as an Advanced practitioner in A&E/ITU, had spent 1.5 years in Covid ITU Won FSB Best start-up business in the West Midlands in May 2023 Now trained 100's of delegates in Physical and Mental Health First Aid Expenses Travel costs and lunch required, there are many cafes and sandwich bars here in Much Wenlock to buy your lunch, you may eat it in the training room. All training material, books, qualification certificates are included in the price Continuing Studies The RQF Level 1 Awareness of Safeguarding course serves as an introductory course that provides individuals with a basic understanding of safeguarding principles. While it is a standalone qualification, individuals who complete the course may choose to progress further in their safeguarding training and education. Here are some potential progression options: RQF Level 2 Award in Safeguarding: This qualification builds upon the knowledge gained in the Level 1 course and provides a more comprehensive understanding of safeguarding principles, policies, and procedures. It covers topics such as risk assessment, responding to safeguarding concerns, and effective communication in safeguarding contexts. Specialized Safeguarding Courses: Individuals who wish to focus on specific areas of safeguarding can pursue specialized courses related to their field of interest. These courses may include Child Protection, Adult Safeguarding, Domestic Abuse Awareness, Online Safety, or Safeguarding in Healthcare. Specialized courses delve deeper into the specific risks, regulations, and best practices associated with safeguarding vulnerable individuals in those particular contexts. Safeguarding Training for Specific Professions: Many professions have specific safeguarding training requirements tailored to their sector. For example, teachers may need to complete safeguarding training specific to the education setting, healthcare professionals may have training focused on safeguarding vulnerable patients, and social workers may have specialized safeguarding training in line with their role. Progression may involve undertaking profession-specific safeguarding courses or qualifications. Safeguarding Leadership and Management Training: Individuals in supervisory or managerial positions may consider pursuing training that focuses on the leadership and management aspects of safeguarding. This can include courses on developing and implementing safeguarding policies and procedures, managing safeguarding incidents, conducting internal investigations, and providing guidance and support to staff. Continued Professional Development (CPD): Engaging in ongoing CPD activities is essential for staying updated with the latest developments in safeguarding practices and policies. Individuals can attend conferences, workshops, or seminars related to safeguarding, child protection, or specific areas of interest within the field. This allows for continued learning and networking with other professionals. Higher Education: Individuals who wish to pursue a more in-depth study of safeguarding can consider higher education programs in social work, psychology, criminology, or related fields. These programs provide comprehensive knowledge and training in safeguarding practices, policies, and research. They may lead to professional certifications or degrees that enhance career opportunities in safeguarding roles. It's important for individuals to research and explore progression options that align with their specific career goals, interests, and local requirements. Different countries or regions may have varying certification or training requirements for safeguarding roles, so it's advisable to check with relevant regulatory bodies or professional associations for specific guidance.

This intermediate-level course will help you learn how to use multi-threading and asynchronous programming to speed up programs that are heavily bottlenecked by IO operations. The course covers core concepts such as implementing multiprocessing in Python, creating various readers and schedulers, and monitoring your coding progress.

Dive into the world of image segmentation with PyTorch. From tensors to UNet and FPN architectures, grasp the theory behind convolutional neural networks, loss functions, and evaluation metrics. Learn to mold data and tackle real-world projects, equipping developers and data scientists with versatile deep-learning skills.

Description: In the 21st century, web design is one of the most influential aspects of your online presence. HTML 5, and CSS 3 are the primary foundations of the websites. And with the help of Bootstrap, you will be able to design and develop responsive websites. Master the advanced techniques of HTML 5, CSS 3, and Bootstrap for designing attractive and professional web pages by enrolling in the The Complete Web Design Course course. With our comprehensive course, get started on the journey to web designing. Explore the strategies of developing fascinating websites using HTML 5, and CSS 3 and make your websites responsive using Bootstrap. Additionally, you will look at some general rules to keep in mind while designing web pages. Upon completion, you will be able to design any types of websites using HTML 5, CSS 3, and Bootstrap. Who is the course for? Absolute beginners who want to learn the first building blocks (HTML & CSS) for creating websites Anyone with a website that wants to be able to customize it with HTML and CSS to make it look like you imagine Anyone looking for a quick refresher of how HTML, CSS, and Bootstrap works Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Welcome 1.1 Intro FREE 00:03:00 1.2 Install the Tools and Get Started 00:05:00 HTML 5 2.1 Intro to HTML 00:01:00 2.2 What is HTML 00:11:00 2.3 Start a New HTML File & Use Tags 00:12:00 2.4 Header Tags 00:05:00 2.5 Edit Text 00:09:00 2.6 Links 00:09:00 2.7 Images 00:10:00 2.8 Lists 00:04:00 2.9 Challenge 1 00:16:00 2.10 HTML Outro 00:01:00 CSS 3 3.1 CSS Intro 00:04:00 3.2 Add CSS Styles 00:16:00 3.3 Classes and IDs 00:07:00 3.4 Borders 00:06:00 3.5 Sizing 00:04:00 3.6 Padding and Margin 00:07:00 3.7 Text Styles 00:04:00 3.8 DIVs 00:08:00 3.9 Postioning 00:08:00 3.10 Hover 00:03:00 3.11 Easily Center Elements 00:03:00 3.12 Fonts 00:06:00 3.13 Challenge 00:23:00 3.14 CSS Outro 00:01:00 Bootstrap 4.1 Intro to Bootstrap 00:02:00 4.2 Install Bootstrap 00:10:00 4.3 Indenting and Containers 00:07:00 4.4 The Grid System 00:16:00 4.5 Images 00:07:00 4.6 Buttons 00:06:00 4.7 Challenge 3 00:11:00 4.8 Bootstrap Outro 00:01:00 Project 1 - Design a Landing Page 5.1 Landing Page Intro 00:01:00 5.2 Sketch Your Landing Page 00:05:00 5.3 The Top Section 00:16:00 5.4 Polish the Top Section 00:06:00 5.5 Adding Images 00:11:00 5.6 The Main Points Section 00:14:00 5.7 Collecting Emails With an Opt-In Form 00:11:00 5.8 Challenge 4 00:03:00 5.9 Landing Page Outro 00:02:00 Project 2 - Business Website 6.1 Business Site Intro 00:01:00 6.2 Sketch Up 00:03:00 6.3 Using Fancy Font Logo 00:07:00 6.4 Carousel Basics 00:10:00 6.5 Carousel Extras 00:09:00 6.6 Text on Images 00:15:00 6.7 Phone Number Icon 00:04:00 6.8 Google Maps 00:13:00 6.9 Font Awesome 00:09:00 6.10 Challenge 4 00:08:00 6.11 Business Site Outro 00:01:00 Project 3 - Portfolio 7.1 Intro 00:01:00 7.2 Portfolio Sketch 00:08:00 7.3 Jumbotron 00:10:00 7.4 Nav Bar 00:24:00 7.5 Panels 00:11:00 7.6 Challenge 5 00:13:00 7.7 Portfolio Outre 00:01:00 Hosting - Getting Your Website on the Internet 8.1 Hosting 00:01:00 8.2 Bluehost 00:06:00 8.3 Uploading 00:05:00 8.4 Tips 00:11:00 8.5 Hosting Outro 00:01:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals 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. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. 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 00:08:00 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 Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 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 00:07:00 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 - Python Machine Learning & Data Science Fundamentals 00:00:00

Within the course, you have the chance to complete a questionnaire focused on determining your preferences, which will enable you to gain some insights into your Type. As you progress through the course, you are able to check how clear you are with each preference to give you a deeper understanding of your own type.

How to inspire others and build successful relationships. This course is designed to support professionals in business to develop communication skills through understanding and applying knowledge of personality and behaviour in the workplace. It is based upon the book "The Authority Guide to Behaviour in Business: How to Inspire Others and Build Successful Relationships" by Robin Hills (ISBN: 1912300087).

This video course introduces you to the world of Rust programming. You'll learn about the Rust ecosystem, tools, primitive types, and control flow, and gain knowledge of how real-world applications are actually developed in Rust.

If you have no intention of removing asbestos but work on buildings built or refurbished before the year 2000, asbestos could be present. You will need awareness training so you know how to avoid the risks. Asbestos awareness training should be given to employees whose work could foreseeably disturb the fabric of a building and expose them to asbestos or who supervise or influence the work. In particular, it should be given to those workers in the refurbishment, maintenance and allied trades where it is foreseeable that ACMs may become exposed during their work.

This course is perfect for the beginner but also delves into building a SAS Model and intermediate topics. Learn SAS Data Step, SQL Step, Macros, SAS Model Building, Predictive Analytics, SAS and ML. If you are using SAS Enterprise Guide and want to learn how to code/program instead of using the point-and-click interface, this course is ideal!