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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

In this course we explore how we have attempted to build inclusive circles of support around individuals and contrast this with a radical approach to problem solving with parents – the Parent Solutions Circle. Parent Solutions is a brand new approach to problem solving with parents based on our live group work in schools. A focus on challenging behaviour brings interest, energy and commitment.  Course Category Inclusion Peer Support Parents and Carers Behaviour and relationships Description In this course we explore how we have attempted to build inclusive circles of support around individuals and contrast this with a radical approach to problem solving with parents – the Parent Solutions Circle Parent Solutions is a brand new approach to problem solving with parents based on our live group work in schools. A focus on challenging behaviour brings interest, energy and commitment. Essentially the approach involves gathering a group of parents and carers together who recognise how challenging their own children are and would like some help to figure out how to be with them or how to manage an aspect of their behaviour. The process is facilitated but majors on the parents offering each other their wisdom and ideas. The directness that only peers can provide to each other makes the work both powerful and effective. Mobilising the wisdom and experiences of parents in a safe way is a delicate art. In this training we will explore how this can best be done. Parents who have been on all the courses and had all the professional advice in world love this way of working because they get to offer each other their experience, ideas and wisdom. The approach is capacity focused, person centred approach to working with parents rather than the dominant deficit oriented and ‘medical model’ of viewing and planning for parents. We work with rather than do things to a group of parents. This training can be modelled with a group of parents or can be demonstrated with a group of professionals. We prefer mixed groups. Learning Objectives For participants to learn how to set up a Parent Solutions Circle For participants to understand the underlying rationale and ethos of this way of working To learn the facilitation process and stages of the Circle process Who Is It For? Anyone interested in working with parents and carers in a way that builds and makes use of their capacities rather than focus on their challenges and difficulties. School leaders and managers Social Care teams Community organisers Psychologists Course Content True parent empowerment Facilitating groups Problem solving process Handling group communication Allowing direct feedback and challenge between participants in a safe way Building relationships Creating natural circles of support that can provide peer support and mutual problem solving If you liked this course you may well like: Creating Community Circles

A Perfect Guide To Home Business Overview Today's job market is not a picnic, as there are thousands of people competing for the same position. But if you have the skills to excel in life, there's an easy solution. Start your own business from home, and Home Business Perfect Guide course will help you in this endeavour to achieve the utmost level of success. This A Perfect Guide To Home Business course is directed towards the highly motivated individuals who are looking to work from home. You will be able to improve your soft skills and earn a lot of money. This course discusses the different sorts of home based businesses you can do and also looks at the different traits required to carry out these businesses successfully. The possibilities of a home based business is endless and you will have to get this course to discover them all. Learning Outcomes Grasp the core principles of business and entrepreneurship. Identify the different types of home-based business models. Understand the fundamentals of online business and digital marketing. Develop the skills necessary to manage and operate a successful home business. Gain insights into the legalities and financial aspects of home business ownership. Why You Should Choose A Perfect Guide To Home Business Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? A Perfect Guide To Home Business is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our A Perfect Guide To Home Business is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. A Perfect Guide To Home Business Module 01: Introduction to Business Introduction to Business 00:36:00 Module 02: Introduction to Entrepreneurship Introduction to Entrepreneurship 00:22:00 Module 03: What Is a Home-Based Business What Is a Home-Based Business 00:33:00 Module 04: Introduction to Online Business Introduction to Online Business 00:36:00 Module 05: Introduction to Digital Marketing Introduction to Digital Marketing 00:37:00 Module 06: E-Commerce Business Model: Dropshipping E-Commerce Business Model: Dropshipping 00:18:00 Module 07: E-Commerce Business Model: Affiliate Marketing E-Commerce Business Model: Affiliate Marketing 00:40:00 Module 08: Opportunities for Home-Based Income Opportunities for Home-Based Income 00:26:00 Module 09: At-Home Professional Service Provider Business At-Home Professional Service Provider Business 00:27:00 Module 10: Introduction to Freelancing Introduction to Freelancing 00:28:00

  Delivered in either Live Online (4 days) or in our Classroom (5 days), the ISO/IEC 27005 Lead Risk Manager training enables you to acquire the necessary expertise to support an organization in the risk management process related to all assets of relevance for Information Security using the ISO 27005 standard as a reference framework. During this training course, you will gain a comprehensive knowledge of a process model for designing and developing an Information Security Risk Management program. The training will also contain a thorough understanding of best practices of risk assessment methods such as OCTAVE, EBIOS, MEHARI and harmonized TRA. This training course supports the implementation process of the ISMS framework presented in the ISO/IEC 27001 standard. About This Course   After mastering all the necessary concepts of Information Security Risk Management based on ISO/IEC 27005, you can sit for the exam and gain the "Certified ISO/IEC 27005 Lead Risk Manager' credential. By holding this credential, you will be able to demonstrate that you have the practical knowledge and professional capabilities to support and lead a team in managing Information Security Risks.   Learning objectives Master the concepts, approaches, methods and techniques that enable an effective risk management process based on ISO/IEC 27005 Acknowledge the correlation between Information Security risk management and security controls Learn how to interpret the requirements of ISO/IEC 27001 in Information Security Risk Management Acquire the competence and skills to effectively advise organizations on Information Security Risk Management best practices Acquire the knowledge necessary for the implementation, management and maintenance of an ongoing risk management program Educational approach This training is based on both theory and best practices used in Information Security Risk Management Lecture sessions are illustrated with examples based on cases studies Practical exercises are based on a case study which includes role playing and discussions Practice tests are similar to the Certification Exam Who Should Attend?   Information Security risk managers Information Security team members Individuals responsible for Information Security, compliance, and risk within an organization Individuals implementing ISO/IEC 27001, seeking to comply with ISO/IEC 27001 or individuals who are involved in a risk management program IT consultants IT professionals Information Security officers Privacy officers What's Included?   Official Course Slide decks Candidate pack Exam fees Prerequisites   A foundational understanding of ISO/IEC 27005 and knowledge of Risk Assessment and Information Security. Our Guarantee     We are an approved IECB Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras.  The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training and exam retake offered Accreditation Assessment   The exam for this course is a 12 question essay type. The pass mark is 70% and should be achieved within the allotted 150 minute exam timeframe. Exam results are provided within 24 hours. Provided by   This course is Accredited by NACSand Administered by the IECB

P3O® - Are we doing the right things? To stay relevant, Project Management Offices need to reinvent themselves, finding new ways to help organizations achieve strategic objectives through agile project execution. The rise of Agile poses new challenges to organizations in terms of governance, resource allocation, capacity planning, portfolio selection, and prioritization. This presentation will teach you how to define and implement PMO functions and structures using AXELOS' P3O® model (Portfolio, Programme, and Project Offices). You will also learn how to combine PRINCE2® and Agile to balance adaptability and governance. Key Takeaways: Gain a greater understanding of the P3O model Learn from real-life scenarios how to adopt hybrid project management combining PRINCE2 and Agil

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About this event This class is going to look at portrait painting using photographs to explore how to achieve volume, we are currently working in Grisaille (many greys) and will go on to look at glazing and flesh tones in the upcoming months. This class has no model and intends to give some experience before moving on to the model. Please bring a canvas or board. It is also good to have your own paint brushes if possible. Some boards and canvas's are available to purchase if you are unable to get one in advance The works has boards, brushes and canvas for a few pounds. See previous classes @ FaceBook - @woodrawschool Twitter - @JainMcKay  Instagram - https://www.instagram.com/worcesterdrawingschool Refund Policy Contact the organiser to request a refund.

Overview Dive deep into the mesmerising world of particle physics with our comprehensive course titled 'Particle Physics'. Ever pondered the question, 'what is particle physics?' or been intrigued by the standard model of particle physics? This course unravels the mysteries of the universe, starting from the tiniest elementary particles to the vast complexities of nuclear physics. Transitioning from one module to the next, learners will be captivated by the intricacies of particle accelerators and the marvels of radiation detectors. By the culmination of this course, the standard model of particle physics will no longer be an enigma but a fascinating realm of knowledge you've mastered. Learning Outcomes: Understand the foundational concepts and significance of particle physics. Identify and differentiate between various elementary particles. Gain insights into the structure and properties of the nucleus. Delve into the principles and applications of nuclear physics. Comprehend the workings and importance of particle accelerators. Acquire knowledge on radiation detectors and their pivotal role in research. Grasp the intricacies and concepts behind the standard model of particle physics. Why buy this Particle Physics? 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 Particle Physics 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 Particle Physics is suitable for:  Individuals with a keen interest in understanding the universe at a microscopic level. Science students aiming to expand their knowledge in advanced physics topics. Teachers and lecturers seeking to update their curriculum with the latest in particle physics. Researchers in the field of physics looking for a comprehensive refresher course. Enthusiasts eager to delve into the complexities of the universe's building blocks. Prerequisites This Particle Physics 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 Particle Physicist: Average salary range £50,000 - £70,000 Annually Nuclear Engineer: Average salary range £40,000 - £60,000 Annually Radiation Specialist: Average salary range £45,000 - £65,000 Annually Research Scientist (Physics): Average salary range £35,000 - £55,000 Annually Accelerator Operator: Average salary range £30,000 - £50,000 Annually Physics Lecturer: Average salary range £40,000 - £60,000 Annually Course Curriculum Module-01: Introduction to Particle Physics Introduction to Particle Physics 00:22:00 Module-02: Elementary Particles Elementary Particles 00:20:00 Module-03: The Nucleus The Nucleus 00:23:00 Module-04: Nuclear Physics Nuclear Physics 00:18:00 Module-05: Particle Accelerators Particle Accelerators 00:23:00 Module-06: Radiation detectors Radiation Detectors 00:37:00 Module-07: The Standard Model The Standard Model 00:15:00 Assignment Assignment - Particle Physics 00:00:00

Empower yourself with comprehensive Disability Awareness and Inclusion Training. Explore legal compliance, effective communication strategies, recruitment tactics, and more. Learn to create inclusive workplaces and champion diversity. Join us to promote equality and advocate for disability rights.

Online Asset Management Diploma course. Sit the IAM Diploma anywhere in the world