The Child Protection Officer Training Course is an essential programme designed for individuals who want to better understand the role of a Child Protection Officer and contribute to creating safer environments for children. Whether you're looking to advance your career or become more informed on safeguarding issues, this course offers a thorough examination of the policies and procedures in place to protect young people from harm. Through engaging content, learners will gain an in-depth understanding of child protection laws, identifying signs of abuse, and responding effectively to safeguarding concerns. As a fully online course, it is designed to fit seamlessly into your schedule, ensuring flexibility while covering critical topics such as risk assessment, the roles and responsibilities of a Child Protection Officer, and the importance of collaborating with agencies to provide effective child protection. With our expert-led material, learners can build their knowledge at their own pace, equipping themselves with the necessary tools to identify and act on concerns related to child safety. Whether you're a social worker, educator, or involved in youth services, this course will provide valuable insights for anyone dedicated to keeping children safe and supported. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 1: Child Protection and Safeguarding Basics Module 02: Child Protection In the UK Module 03:Respond to Child Abuses Module 04: Sharing Information about Any Safeguarding Concerns Module 05: Report Abuse Module 06: Maltreatment of Children Module 07: Child Protection in Education System Module 08: Allegations Against Staff Module 09: Child Protection in Sport & Active Leisure Learning Outcomes: Analyse safeguarding concerns adeptly. Demonstrate knowledge of UK child protection laws. Implement effective responses to child abuse incidents. Proficiently share information regarding safeguarding concerns. Report child abuse incidents with precision and diligence. Evaluate and address allegations against staff in child protection scenarios. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Education professionals Social workers Healthcare practitioners Sports and leisure industry professionals Law enforcement personnel Youth workers Counsellors Volunteers in child-centric organisations Career path Child Protection Officer Social Worker Education Safeguarding Lead Youth Outreach Worker Sports and Leisure Safeguarding Officer Counsellor for Children and Adolescents Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
If you're fascinated by the world of plants and eager to understand the science behind how they grow, develop, and thrive, then the Intro to Plant Science Course is your perfect starting point. This course is designed for anyone with a curiosity about plant biology, from beginners to those looking to broaden their knowledge in the subject. You’ll delve into the fundamental principles that govern plant life, from their cellular structure to how they interact with their environment. Understanding these core concepts can provide a fresh perspective on the natural world around us. Throughout the course, you’ll explore key topics like plant anatomy, photosynthesis, plant growth patterns, and how environmental factors influence plant development. Whether you're considering a career in horticulture, agriculture, or simply want to understand plants better, this course offers a structured and accessible approach. Plus, with the flexibility of studying online, you can learn at your own pace and fit your studies around your schedule. Ready to dig deeper into the fascinating world of plant science? This course could be just what you need to cultivate your interest into something truly insightful. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 1: Introduction to Plant Science Module 2: Plant Anatomy and Morphology Module 3: Photosynthesis and Respiration Module 4: Plant Genetics and Reproduction Module 5: Plant Physiology Module 6: Plant Ecology and Interactions Module 7: Economic and Ethnobotanical Importance Learning Outcomes Analyse plant structures for a comprehensive understanding of their anatomy. Investigate the pivotal processes of photosynthesis and respiration in plants. Explore the mechanisms governing plant genetics and reproduction. Understand the intricate physiological processes driving plant growth. Evaluate the ecological relationships and interactions within plant communities. Assess the economic and ethnobotanical importance of plants in various contexts. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Biology enthusiasts seeking a deeper understanding of plant life. Students pursuing degrees in botany or environmental science. Gardeners and horticulturists aiming to enhance their plant knowledge. Environmentalists interested in sustainable plant interactions. Educators looking to enrich their biology curriculum. Farmers seeking insights into plant genetics and reproduction. Anyone curious about the economic and cultural significance of plants. Professionals in industries linked to agriculture or environmental conservation. Career path Botanist Ecologist Horticulturist Agricultural Researcher Environmental Consultant Plant Geneticist Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
The Functional Skills in Maths & English Course provides an excellent opportunity to strengthen your essential skills in the most approachable and engaging way. Whether you're aiming to improve your understanding of numbers or boost your ability to communicate clearly, this course helps build a strong foundation. You’ll gain the confidence to tackle everyday situations, from budgeting and measuring to writing emails and reading instructions. This online course is designed for anyone wanting to refine their Maths and English abilities, without the need for physical attendance. With clear, easy-to-follow modules, you’ll have the flexibility to learn at your own pace and revisit topics as needed. Whether you're looking to gain a qualification or simply enhance your personal development, the course caters to your needs, ensuring you’re fully prepared for the challenges that come your way. Take the first step in strengthening your Maths and English skills today, and watch your confidence grow. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: Introduction to Numbers Module 02: Multiples Factors Module 03: Fractions and Power Module 04: Percentages and Averages Module 05: Expressions Module 06: Decimals Module 07: Exponents and Radicals Module 08: Graphs Module 09: The Profit and Loss Module 10: Perimeter and Area Module 11: Probability Module 12: Reading Module 13: Writing Module 14: Speaking Module 15: Grammar, Spelling and Punctuation Module 16: Sentence Structure Module 17: Composition Writing Learning Outcomes: Apply numerical concepts confidently for real-world problem-solving. Demonstrate proficiency in various aspects of linguistic communication. Interpret and create graphical representations with precision. Analyse and assess financial data, including profit and loss scenarios. Utilise probability concepts in decision-making processes. Construct grammatically sound sentences and compositions. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals aiming to enhance mathematical and language skills. Students seeking foundational knowledge for further education. Professionals desiring a comprehensive functional skill set. Job seekers looking to boost their employability. Those pursuing a career in finance, communication, or administration. Adults returning to education for personal or career development. Aspiring entrepreneurs aiming to understand business concepts. Individuals wanting to excel in both numerical and linguistic domains. Career path Data Entry Clerk Administrative Assistant Customer Service Representative Retail Associate Receptionist Sales Support Assistant Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
The Conference Event Management Training Course is designed to equip professionals with the essential knowledge and strategic insights needed to successfully manage conferences from conception to completion. Covering every stage of event organisation, from initial planning and programme design to promotion, onsite coordination, and post-event evaluation, this course provides a thorough understanding of the critical factors that contribute to a seamless and impactful conference experience. Whether you are involved in small gatherings or large-scale international events, this training offers practical frameworks for navigating the complexities of event management in today’s dynamic environment. This course also explores the evolving landscape of conference planning, including the latest trends in hybrid and virtual events, ensuring participants stay ahead of industry shifts. With dedicated modules on sustainability and environmental management, as well as sponsorship and fundraising strategies, learners gain insight into creating events that are both responsible and financially viable. Delivered entirely online, this course offers the flexibility to develop expertise in conference management at your own pace, making it an ideal choice for professionals seeking to advance their career in the events sector without the need for physical attendance. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum of Conference Event Management Module 01 : Introduction to Conference Event Management Module 02 : Pre-Event Planning Module 03 : Programme Design and Coordination Module 04 : Promotion and Marketing Module 05 : Onsite Management Module 06 : Post-Event Evaluation and Follow-up Module 07 : Sustainability and Environmental Management Module 08 : International Conference Planning Module 09 : Hybrid and Virtual Conference Planning Module 10 : Sponsorship and Fundraising Strategies Learning Outcomes: Gain foundational knowledge in Conference Event Management. Develop robust pre-event planning strategies for seamless execution. Design and coordinate engaging event programmes effectively. Execute targeted promotion and marketing campaigns. Manage on-site logistics for a successful event experience. Conduct post-event evaluations and implement follow-up strategies. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring Event Planners and Coordinators Marketing Professionals seeking Event Expertise Individuals Interested in Sustainable Event Practices Students Exploring Event Management Careers Professionals Transitioning to Conference Planning Marketing and Communications Graduates Event Enthusiasts Looking to Hone Skills Business Owners Seeking Event Management Knowledge Career path Conference Coordinator Event Marketing Manager Sponsorship and Fundraising Specialist Virtual Event Planner Programme Manager Sustainability Consultant in Events Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Overview of NLP Practitioner Course The NLP Practitioner Course helps you understand how the mind works and how you can improve the way you communicate with yourself and with others. NLP, or Neuro-Linguistic Programming, is used in many areas like business, coaching, and therapy. In the UK, the NLP market is growing fast, with more companies and professionals using these methods to improve performance and wellbeing. This course gives you clear and simple tools to support real change in everyday life. You will learn the basics of NLP, including how language and thoughts affect behaviour. As you move through the course, you will also be taught advanced techniques to support personal growth and improve your communication. Whether you want to improve relationships, work performance, or help others grow, the NLP Practitioner Course offers everything you need. By the end, you will receive a recognised certificate showing you have the skills to use NLP professionally. There is a growing need in the UK for skilled NLP practitioners, especially in corporate training and personal development. Many organisations are looking for people who can apply proven methods to support change and wellbeing. This NLP Practitioner Course helps you build those skills, giving you a practical way to use NLP in both personal and professional settings. This NLP Practitioner Course will help you to learn: Use NLP communication tools in different real-life situations Include NLP ways of thinking in everyday choices Create simple and effective ways to make personal changes Use advanced NLP tools for special needs or areas Show that you understand NLP coaching methods Use NLP ideas in many types of jobs and workplaces Who is this Course for? Coaches, therapists, or counsellors who want to improve how they help others using NLP tools Business people who want to be better at speaking, leading, and working with others Anyone who wants to grow personally and learn clear steps to remove negative thinking and build better habits HR staff who want to use NLP in training, staff growth, and solving problems at work Anyone who wants to get an NLP Practitioner certificate and use these skills in a job Process of Evaluation After studying the NLP Practitioner Course, your skills and knowledge will be tested with an MCQ exam or assignment. 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 NLP Practitioner Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements You don't need any educational qualification or experience to enrol in the NLP Practitioner Course. Career Path This NLP Practitioner Course will help learners to pursue a variety of careers. Such as: NLP Coach – earn around £35K to £65K per year Corporate Trainer – earn around £30K to £55K per year HR Development Specialist – earn around £28K to £48K per year Communication Consultant – earn around £40K to £70K per year Wellbeing Practitioner – earn around £25K to £45K per year Frequently Asked Questions (FAQ's) Q. How do I purchase a course? 1. You need to find the right course on our IOMH website at first. You can search for any course or find the course from the Courses section of our website. 2. Click on Take This Course button, and you will be directed to the Cart page. 3. You can update the course quantity and also remove any unwanted items in the CART and after that click on the Checkout option and enter your billing details. 4. Once the payment is made, you will receive an email with the login credentials, and you can start learning after logging into the portal. Q. I have purchased the course when will I be able to access the materials? After purchasing the course, you should receive an email with the login credentials within 24 hours. Please check your spam or junk folder if you didn't receive it in your inbox. You can access your courses by logging into your account. If you still need any assistance, please get in touch with our Customer Support team by providing the details of your purchase. Q. I haven't received my certificate yet. What should I do? You should receive your Digital Certificate within 24 hours after placing the order, and it will take 3-9 days to deliver the hard copies to your address if you are in the UK. For International Delivery, it will take 20-25 days. If you require any assistance, get in touch with our dedicated Customer Support team, and your queries/issues will be dealt with accordingly. Q. I don't have a credit/debit card, what other methods of payment do you accept? You can make the payment using PayPal or you can Bank Transfer the amount. For Bank transfer you will require an invoice from us and you need to contact our Customer Support team and provide details of your purchase to get the invoice. After that, you will receive an email with the invoice and bank details and you can make the payment accordingly. Q. Can I do the courses from outside UK? We are an online course provider, and learners from anywhere in the world can enrol on our courses using an internet-connected device. Q. When I log into the account it says 'Contact Administrator'. To resolve this issue, please log out of your account and then log back in. Course Curriculum Module 01: Introduction to NLP Introduction to NLP 00:17:00 Module 02: NLP Communication Model NLP Communication Model 00:20:00 Module 03: NLP Coaching Model NLP Coaching Model 00:26:00 Module 04: NLP Presuppositions and Beliefs NLP Presuppositions and Beliefs 00:21:00 Module 05: NLP Techniques for Personal Change NLP Techniques for Personal Change 00:26:00 Module 06: NLP Strategies for Effective Communication NLP Strategies for Effective Communication 00:28:00 Module 07: Advanced NLP Techniques Advanced NLP Techniques 00:21:00 Module 08: NLP Applications NLP Applications 00:17:00 Module 09: NLP Practitioner Certification NLP Practitioner Certification 00:15:00
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
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