Overview of ChatGPT for Marketing and Productivity with AI Tools Visualise a world where artificial intelligence drives your marketing initiatives and AI tools revolutionise your business productivity. That's no longer just a fantasy; it's a reality you can be part of with our ChatGPT for Marketing and Productivity with AI Tools course. This industry has witnessed an explosion of opportunities, where those equipped with the knowledge to harness the power of artificial intelligence in marketing and productivity are at a significant advantage. Join us and become well-versed in using ChatGPT, one of the most sophisticated AI tools available. Learn how to seamlessly integrate Artificial Intelligence (AI) into your marketing strategies and enhance your productivity using AI tools. With this course, you are following the trend and becoming a trendsetter in the Artificial Intelligence (AI) marketing and productivity landscape. Join us and leap into the future with ChatGPT. This ChatGPT for Marketing and Productivity with AI Tools 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 ChatGPT for Marketing and Productivity with AI Tools. 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 ChatGPT for Marketing and Productivity with AI Tools 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 ChatGPT for Marketing and Productivity with AI Tools 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 There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the ChatGPT for Marketing and Productivity with AI Tools 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 ChatGPT for Marketing and Productivity with AI Tools 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 Section 01: The AI Marketing Playbook Unit 01: Start an Account with ChatGPT 00:02:00 Unit 02: What the Company OpenAI Say About Itself 00:02:00 Unit 03: What OpenAI Say About The Limitations of the Chatbot 00:02:00 Unit 04: Chatbot Prompt Examples Given By Open AI 00:02:00 Unit 05: Will Chat GPT Be a Paid Application 00:01:00 Unit 06: Chat GPT Idea Generation 00:02:00 Unit 07: Chat GPT - Idea Qualification and Accuracy 00:03:00 Unit 08: ChatGPT - Accuracy and Citations 00:02:00 Unit 09: Chat GPT - Creating HTML Instances 00:01:00 Unit 10: Chat GPT - How to Solve Specific Business Problems 00:02:00 Unit 11: Chat GPT - Statistical Verification of Information 00:01:00 Unit 12: Chat GPT - Rewrite Content for Different Contexts 00:02:00 Unit 13: ChatGPT - Content Checked With AI 00:02:00 Unit 14: ChatGPT - Simplifying Information 00:01:00 Unit 15: ChatGPT - How to Ask the Chatbot about Context 00:01:00 Unit 16: ChatGPT - How to Cross-Post Queries 00:01:00 Unit 17: ChatGPT - How to Narrow Down the Context of Your Query 00:02:00 Unit 18: ChatGPT - How to Solve a Business Process 00:02:00 Unit 19: ChatGPT - Developing a Methodology From Experts 00:01:00 Unit 20: The Future of ChatGPT 00:01:00 Section 02: How to Use ChatGPT and AI for Marketing Unit 01: Autonous AI Agents 00:01:00 Unit 02: Connecting to Open AI 00:01:00 Unit 03: Getting an OpenAI Key 00:01:00 Unit 04: Agent GPT - Autonomous AI 00:02:00 Unit 05: GoalGPT - Autonomous Agents 00:01:00 Unit 06: Cognosis - Autonomous AI 00:02:00 Unit 07: Aomni - Autonomous Agent 00:01:00 Unit 08: Durable - Build a Website with AI 00:01:00 Unit 09: Eightify Summaries 00:02:00 Unit 10: Genei - Do Higher Quality Research with AI 00:01:00 Unit 11: Ellicit - Do Higher Quality Research with AI 00:01:00 Unit 12: Inciteful - Do Higher Quality Research with AI 00:02:00 Unit 13: SciteAI Determine the Credibility of Your Research 00:01:00 Unit 14: Eleven Labs - Voice Cloning 00:02:00 Unit 15: AgentGPT - Wrap Up and Return 00:01:00 Unit 16: Cognosys - Wrap Up and Return 00:01:00 Unit 17: Aomni - Wrap Up and Return 00:01:00 Unit 18: Goal GPT - Wrap Up and Return 00:01:00 Unit 19: Uploading Research Reports to Summarization Applications 00:01:00 Unit 20: Perspective on The Future of AI 00:01:00 Section 03: Productivity with AI Tools Unit 01: Meta Search Sites 00:02:00 Unit 02: SMMRY for Summarzing 00:01:00 Unit 03: ChatGPT Plugins Waitlist 00:01:00 Unit 04: Using Microsoft Bing Search 00:02:00 Unit 04: Using Microsoft Bing Search 00:02:00 Unit 06: Microsoft Word Speech To Text 00:01:00 Unit 07: Transcribe Audio in Microsoft Word 00:02:00 Unit 08: Speechify 00:02:00 Unit 09: Exact Image Creation 00:01:00 Unit 10: AI Design Tools 00:02:00 Unit 11: Learn How to Prompt 00:01:00 Unit 12: Content Improvement 00:01:00 Unit 13: Idea Generation 00:01:00 Unit 14: Audio Enhancement with Adobe 00:02:00 Unit 15: Clean up Audio With Cleaanvoice 00:01:00 Unit 16: Notion-AI 00:01:00 Unit 17: Pictory 00:01:00 Unit 18: Lex 00:01:00 Unit 19: ChatPDF 00:01:00 Unit 20: Conclusion and the Future of Generatie AI - Searchie 00:01:00
Overview of Addiction and Mental Health - Dual Diagnosis Join our Addiction and Mental Health - Dual Diagnosis 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 Addiction and Mental Health - Dual Diagnosis course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Addiction and Mental Health - Dual Diagnosis 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 Addiction and Mental Health - Dual Diagnosis 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 Addiction and Mental Health - Dual Diagnosis. 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 Addiction and Mental Health - Dual Diagnosis 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 Addiction and Mental Health - Dual Diagnosis 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 There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Addiction and Mental Health - Dual Diagnosis 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 Addiction and Mental Health - Dual Diagnosis 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 Promotional Video Promotional 5 minute video 00:06:00 SAMHI Dual Diagnosis Intro video SAMHI Dual Diagnosis Intro video and downloadable worksheet PowerPoint slides 00:04:00 Module 1 - Drugs and Effects Module 1 - Drugs and Effects: VIDEO PART 1 (content part 1 - 4) 00:16:00 Module 1 - Drugs and Effects: VIDEO PART 2 (content part 5 - 6) 00:19:00 Module 1 - Drugs and Effects: VIDEO PART 3 (content part 7 - 8) 00:20:00 Module 1 - Drugs and Effects: VIDEO PART 4 (content part 9) 00:15:00 Module 1 - Drugs and Effects: VIDEO PART 5 (content part 10) 00:10:00 Module 1 - Drugs and Effects: VIDEO PART 6 (content 10 - 12) 00:18:00 Module 1 - Drugs and Effects: VIDEO PART 7 (content part 13) 00:13:00 Module 1 - Drugs and Effects: VIDEO PART 8 (content part 14) 00:20:00 Module 1 - Drugs and Effects: VIDEO PART 9 (content part 14) 00:20:00 Module 1 - Drugs and Effects: VIDEO PART 10 (content part 15 - 18) 00:19:00 Module 2 - Addictions & Mental Health Module 2 Addictions & Mental Health: VIDEO PART 1 content part 1 - 2 00:16:00 Module 2 Addictions & Mental Health: VIDEO PART 2 content part 3 - 5 00:18:00 Module 2 Addictions & Mental Health: VIDEO PART 3 content part 6 - 7 00:13:00 Module 2 Addictions & Mental Health: VIDEO PART 4 content part 00:17:00 Module 2 Addictions & Mental Health: VIDEO PART 5 content part 00:18:00 Module 2 Addictions & Mental Health: VIDEO PART 6 content part 00:20:00 Module 2 Addictions & Mental Health: VIDEO PART 7 content part 00:14:00 Module 2 Addictions & Mental Health: VIDEO PART 8 content part 00:12:00 Module 2 Addictions & Mental Health: VIDEO PART 9 content part 00:20:00 Module 2 Addictions & Mental Health: VIDEO PART 10 content part 00:13:00 Module 3 - Harm Minimisation & Optimal Health Module 3 Harm Minimisation & Optimal Health VIDEO PART 1 content part 00:23:00 Module 3 Harm Minimisation & Optimal Health VIDEO PART 2 content part 00:17:00 Module 3 Harm Minimisation & Optimal Health VIDEO PART 3 content part 00:09:00 Module 3 Harm Minimisation & Optimal Health VIDEO PART 4 content part 00:18:00 Module 3 Harm Minimisation & Optimal Health VIDEO PART 5 content part 00:17:00 Module 3 Harm Minimisation & Optimal Health VIDEO PART 1 content part 6 00:11:00 Module 3 Harm Minimisation & Optimal Health VIDEO PART 7 content part 7 00:12:00 Module 4 - Brain Works - Neurophysiology Module 4 Brain Works - Neurophysiology 00:17:00 Module 4 Brain Works - Neurophysiology VIDEO PART 1 content part 00:10:00 Module 4 Brain Works - Neurophysiology VIDEO PART 2 content part 00:17:00 Module 4 Brain Works - Neurophysiology VIDEO PART 3 content part 00:19:00 Module 4 Brain Works - Neurophysiology VIDEO PART 4 content part 00:16:00 Module 4 Brain Works - Neurophysiology VIDEO PART 5 content part 00:11:00 Module 5 - Trauma Model & Keys to Treatment Module 5 Trauma Model & Keys to Treatment VIDEO PART 1 content part 1 - 2a - 2f 00:20:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 2 content part 2g 00:15:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 3 content part 2h - 2i 00:15:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 4 content part 3 00:13:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 5 content part 4 00:12:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 6 content part 5 - 7 00:18:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 7 content part 8 00:17:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 7 content partVIDEO PART 8 00:16:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 9 content part 11 00:16:00 Module 5 Trauma Model & Keys to Treatment VIDEO PART 10 content part 12 00:19:00 Module 6 - Brief & Early Intervention and Tripod of Support Module 6 Brief & Early Intervention and Tripod of Support VIDEO 1 content part 1 00:18:00 Module 6 Brief & Early Intervention and Tripod of Support VIDEO 2 content part 2 00:20:00 Resources - Addiction & Mental Health (Dual Diagnosis) Integrative 12hrs Resources - Addiction & Mental Health (Dual Diagnosis) Integrative 12hrs 00:00:00
ASKACLINICALSUPERVISOR 24/7 membership plan is an excellent resource for counsellors looking for some extra support.
Mercer’s Financial Education Clinic – Helping You Plan for the Future We are excited to invite you to Mercer’s Financial Education Clinic, a group session designed to help you take control of your financial future. This session will provide expert guidance on key financial topics, equipping you with the knowledge to make informed decisions about your finances. What Will Be Covered? During this session, we will explore: Strategies for saving and investing Tax considerations when building wealth Goal setting and meaningful ways to save for the future This interactive session will give you the opportunity to gain practical insights and ask questions to help you better understand how to manage your financial well-being. Whether you’re planning for the short term or thinking about the future, this session will provide valuable financial knowledge to support your journey. We encourage all employees to attend and take advantage of this valuable financial education opportunity. Session Details: Date: 20th May 2025 Time: 11:00 a.m. – 12:00 p.m. Location: Virtual
Mercer’s Financial Education Clinic – Helping You Plan for the Future We are excited to invite you to Mercer’s Financial Education Clinic, a group session designed to help you take control of your financial future. This session will provide expert guidance on key financial topics, equipping you with the knowledge to make informed decisions about your finances. What Will Be Covered? During this session, we will explore: Options available at the point of retirement Tax considerations Key areas individuals should understand to help plan effectively for retirement during their working careers This interactive session will give you the opportunity to gain practical insights and ask questions to help you better understand how to manage your financial well-being. Whether you’re approaching retirement or planning well in advance, this session will provide valuable financial knowledge to support your journey. We encourage all employees to attend and take advantage of this valuable financial education opportunity. Session Details: Date: 20th May 2025 Time: 9:30 a.m. – 10:30 a.m. Location: Virtual
The British Cleaning is a wonderful learning opportunity for anyone who has a passion for this topic and is interested in enjoying a long career in the relevant industry. It's also for anyone who is already working in this field and looking to brush up their knowledge and boost their career with a recognised certification. This British Cleaning consists of several modules that take around 3 hours to complete. The course is accompanied by instructional videos, helpful illustrations, how-to instructions and advice. The course is offered online at a very affordable price. That gives you the ability to study at your own pace in the comfort of your home. You can access the modules from anywhere and from any device. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification Upon successful completion of the course, you will be able to obtain your course completion PDF Certificate at £9.99. Print copy by post is also available at an additional cost of £15.99 and the same for PDF and printed transcripts.
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
Welcome to this online course on becoming proficient in Excel. Whether your interest has come from finding us by accident, or a heartfelt desire to become an Excel ninja or because you are booked on one of F1F9’s classroom courses and wanted to prepare, you are very welcome: The objective of this course is to help you become proficient in Excel. As with most learning, you will get 10 per cent of what you need from this course; a further 20 per cent from trying things out in a safe environment and asking follow up questions; and 70 per cent from doing it for real.
We’re excited to introduce Cademy Course Forums, a new feature that allows students to engage in discussions, ask questions, and connect with instructors and peers—all within their courses. This Playground & Feedback Program is your chance to experience course forums from a student’s perspective, explore their functionality, and share your insights to help us refine and improve the feature. Why Join? Hands-On Experience – See how course forums work from the student side. Engage in Discussions – Post, reply, and interact with other participants. Provide Feedback – Help shape the future of course forums with your suggestions. Stay Ahead – Get an early look at features that will enhance online learning. How to Get Started Enroll in this course – Simply sign up to gain access. Explore the course forum – Once enrolled, click on the “Forum” tab at the top of the page. Share your thoughts – Let us know what works well and what could be improved. We value your input and can’t wait to hear your thoughts. Enroll now and be part of the future of online learning with Cademy!
Overview of Interior Design Dive into the vibrant world of interior design with the Interior Design Complete Training bundle. As the UK's interior design sector is set to be worth £25 billion by 2027, there's never been a better time to embark on this creative journey. This comprehensive bundle equips you with all you need, from understanding popular styles to mastering colour theory and space planning. By its conclusion, you'll be adept at styling spaces that charm and captivate, ready to tackle any design challenge. Embark on a fulfilling career in this booming industry today. Improving and moving forward is key to getting ahead personally. The Interior Design 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! Get a Quick Look at The Course Content: This Interior Design 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 Interior Design. 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 Interior Design 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 Interior Design 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 Interior Design 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 Interior Design 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 Interior Design Course Module 1: Introduction to Interior Design 00:25:00 Module 2: Design Principles 00:23:00 Module 3: Project Overview 00:30:00 Module 4: Design Elements 00:22:00 Module 5: Design Elements Practical Components 00:32:00 Module 6: Room by Room Design 00:23:00 Module 7: Popular Interior Designs 00:22:00 Module 8: Sustainable Design 00:19:00 Module 9: Presenting Your Ideas 00:20:00 Module 10: Managing Interior Design Business 00:24:00 Assignment Assignment - Interior Design 00:00:00