375 Forest courses

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Description: The 70-413 - Designing and Implementing a Server Infrastructure (MCSE) course will prepare you for the Exam 70-414: Implementing an Advanced Server Infrastructure. The course covers the advanced topics that IT professionals encounter in the enterprise environment. For passing the exam, you should have a thorough understanding of a fundamental server infra¬structure including monitoring, virtualisation, and high availability. There are four main objective areas on the 70-414 Exam which are discussed in the course thoroughly: Manage and maintain a server infrastructure Plan and implement a highly available enterprise infrastructure Plan and implement a server virtualisation infrastructure Design and implement identity and access solutions In the course, you will learn how to create the virtual infrastructure, plan and deploy virtual machines and implement solutions for the virtual administration. You will also learn about monitoring, high availability, updates, PKI, BCP and IDA. In short, the course will prepare you for the exam. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? 70-413 - Designing and Implementing a Server Infrastructure (MCSE) course is certified by CPD Qualifications Standards and CiQ. 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 background. Requirements Our 70-413 - Designing and Implementing a Server Infrastructure (MCSE) training course 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 After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Server Infrastructure - Upgrade and Migration Upgrade and Migration FREE 00:34:00 Windows Assessment and Deployment Kit (ADK) 00:20:00 HyperV Virtual Licensing 00:12:00 Cloning Domain Controllers 00:24:00 Imaging Strategies 00:19:00 Choosing a Deployment Method 00:07:00 Installing Windows AIK 00:07:00 New Features in Windows DS 00:04:00 Storage and File Services Storage and File Services 00:09:00 iSCSIes 00:14:00 DFS 00:15:00 Deploying and Configrueing DFS 00:14:00 BranchCache 00:06:00 Implementing BrancheCache 00:05:00 Discretionary Access Control 00:19:00 Resource Properties 00:09:00 Network Infrastructure Services Network Infrastructure Services 00:25:00 DHCP Server Placement Infrastructure 00:25:00 IPAM Definition and Benefits 00:25:00 DNS Namespace Design 00:26:00 DNS Records Needed by AD 00:09:00 DNS Design Considerations 00:11:00 Performance Monitor and DNS 00:08:00 Zone Transfers and Replications 00:09:00 Configuring Zone Transfers 00:05:00 Creating DNS Zones 00:08:00 DNS and High-Availability 00:11:00 Planning for External User Access Planning for External User Access 00:18:00 Authentication Protocols and Methods 00:15:00 Network Access Policies 00:10:00 Creating a VPN 00:18:00 Perimeter Networks 00:07:00 DirectAccess 00:16:00 RADIUS Authentication and NPS 00:10:00 Network Security 00:26:00 Connection Security Rules 00:03:00 Design and Implement Logical AD Infrastructure Design and Implement Logical AD Infrastructure 00:18:00 Guidelines for Designing AD DS Forests 00:19:00 Creating a Forest Root 00:18:00 Viewing and Editing the Schema 00:10:00 Creating a Forest Trust Part 1 00:06:00 Creating a Forest Trust Part 2 00:06:00 AD DS Domains 00:18:00 Install Second Domain Controller to Domain 00:12:00 Trust Relationships 00:29:00 OU Strategies 00:21:00 Exploring AD Permissions within OU Structure 00:09:00 Protecting OUs using PowerShell 00:08:00 Active Directory Groups 00:24:00 Creating Groups with Active Directory Administration Center 00:11:00 Creating Groups with PowerShell 00:05:00 Special Identities 00:05:00 D GPO AD GPO 00:14:00 Group Policy Categories 00:18:00 Group Policy Preferences 00:11:00 PowerShell Cmdlets 00:06:00 Designing a Physical AD Infrastructure Designing a Physical AD Infrastructure 00:19:00 Replication Topologies Ring 00:09:00 Site Links 00:12:00 Domain Controllers Domain Controllers 00:12:00 Best Practices Analyzer 00:07:00 HighAvailability 00:15:00 Mock Exam Mock Exam- 70-413 - Designing and Implementing a Server Infrastructure (MCSE) 00:20:00 Final Exam Final Exam- 70-413 - Designing and Implementing a Server Infrastructure (MCSE) 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Level 4 & 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

Would you like to immerse yourself in your personal yoga practice? To refresh and inspire your personal approach to yoga? If, like many of us, you feel the need to take time out, dive deep into your personal practice and replenish your energy levels, then join us for this year’s Scaravelli Inspired Yoga & Wellbeing Immersion. This year, we’re focusing on feeling good. Exploring how and why yoga helps to lift our mood and downregulate our nervous system. Each day, we’ll practice yoga, breathwork and meditation. We’ll walk across the downs and down to the beach for a swim, maybe light a bonfire as the sun sets.

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

Theatre in Schools Scotland brings bold, inspiring, live theatre and dance productions into Scotland's primary schools and nurseries.  The year-round programme of touring performances offers schools and teachers the opportunity to present acclaimed shows, created especially for younger audiences, for pupils at school. Performances take place in the school hall or in classrooms and are available to book anywhere in Scotland. This year, Theatre in Schools Scotland is thrilled to welcome One of Two and Ginger to the programme plus Poggle and Me made especially for ASN pupils. The new Theatre in Schools Scotland 2024 - 25 programme of performances for nursery, primary and ASN schools is now on sale and available to book. Please get in touch with Julian Almeida to book! tiss@imaginate.org.uk The standard cost is £500 + VAT per day, for 2x performances (for around 100 children each). Cost for Poggle and Me is £550 + VAT per day, for 2x performances (for around 8 children each). Get in touch for more details. BOOKING NOW GINGER: (Tortoise in a Nutshell) uses puppetry, magic and play to tell the tale of a misshapen gingerbread person, discarded and marked for the bin, inspiring a picture-perfect kitchen to come alive. Touring Autumn 2024 and Winter 2025. For P1-P4 ONE OF TWO: Jack Hunter/Independent Arts Projects) is a one-man comedy drama about two twins growing up with cerebral palsy. Each twin had a very different experience navigating childhood and school. This award-winning autobiographical show celebrates disability and diversity. Touring Autumn 2024. For P7 & S1-S2 POGGLE AND ME: (Barrowland Ballet) was created with and for pupils with complex needs such as autism and invites audiences to join Poggle, a friendly creature, on a sensory and interactive adventure through the forest. Touring Spring 2025. ASN schools (for pupils with complex needs such as autism, 7+). We can work with you to plan your visit, help you to choose a show, and answer any questions. If you are interested in making a booking for your school or would like more information about how we can work together please contact tiss@imaginate.org.ukTheatre in Schools Scotland is managed by Imaginate and National Theatre of Scotland.  

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.

Give your team the opportunity to pause and reflect on what matters most to them about the work they do. The act of listening to each other creates relationship and strengthens trust and inclusion within the team – in creating a shared vision, groups of people build a sense of commitment together. Using the PATH or MAP processes of group facilitation and the creating of a large wall sized graphic we will provide a School Improvement Plan to be proud of!  Course Category Visioning and Problem Solving Person Centred Planning Strategic Work Team Building and Leadership Description There is an old Japanese proverb, “Vision without action is a daydream. Action without vision is a nightmare” “There is no power for change greater than a community discovering what it cares about” MARGARET WHEATLEY – ‘TURNING TO ONE ANOTHER’ (2002) Give your team the opportunity to pause and reflect on what matters most to them about the work they do. The act of listening to each other creates relationship and strengthens trust and inclusion within the team – in creating a shared vision, groups of people build a sense of commitment together. They develop images of ‘the future we want to create together’, along with the values that will be important in getting there and the goals they want to see achieved along the way. Unfortunately, many people still think ’vision’ is the top leader’s job. In schools, the ‘vision task’ usually falls to the Headteacher and/or the governors or it comes in a glossy document from the local authority or the DfES. But visions based on authority are not sustainable. Drawing on the planning tools MAPS and PATH (Pearpoint, Forest and O’Brien 1997) and other facilitation sources we use both process and graphic facilitation to enable the group to build their picture of what they would love to see happening within their organisation/community in the future and we encourage this to be a positive naming, not just a list of the things they want to avoid. ??Let us join you to explore your vision and the ‘roadblocks’ to your vision. Testimonials “Thank you so much for the work you did with us yesterday – I have since been in 2 schools today and have spoken to an number of other colleagues who were present – all were totally overwhelmed by the session – they loved it.” “I was totally blown away, so nice to reflect and realise what a long way we have come” “That was so powerful and motivational” “Our Primary is now an OFSTED rated ‘Outstanding School’ – we were in Special Measures – the Visioning and Planning using the PATH process for 3 years has seriously contributed to this”. Learning Objectives To create a far reaching and shared vision of the future for the school team/group you are working with and ensure that each person present contributes to this To create a visual representation (a graphic) of the vision and use this to plan future actions and to inform school improvement and development plans To facilitate the group in thinking through what some of the barriers to achieving their vision are and to begin work on how these can be removed To build a sense of commitment, common purpose and trust within the team/group Who Is It For ? Headteachers School managers EIP Managers Whole staff – including everyone Course Content The facilitation of a shared vision can be delivered as a full or a half day but, unlike our other training days this day depends on your and your team’s needs and the time you have available The course will cover: Creating the vision The Story So Far Headline Themes Naming the Nightmare A Year from Now Naming Roadblocks and Barriers Building strength Who will we need to take with us on the journey towards the vision Who are we? – Gifts, Strengths and Talents Charting Specific Actions

Gloucester Support Group Launch