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Rooftops represent the most available, sustainable and secure real estate, which is why low-slope and steep-slope roofs are increasingly being used as platforms for photovoltaic systems. Low-slope roofs (commonly used for commercial buildings) and steep-slope roofs (commonly used for single-family residences) have separate challenges when integrating PV systems. Information from the roofing industry and roofing manufacturer requirements will be provided as well as numerous photographs. INSTRUCTOR BIO: James R. Kirby, AIA, is Vice President of Sustainability for the Center for Environmental Innovation in Roofing, Washington, DC. Kirby has expertise in roof system design and construction, weatherproofing and energy-efficiency of the building envelope, and rooftop PV systems. His responsibilities include serving as liaison for the Center's PV taskforce, representing the roofing industry at sustainability-focused events, and presenting sustainability-based technical information to roofing and other construction trades within the US and internationally. Kirby holds a bachelor's degree in architectural studies and a master's degree in architecture (structures option) from University of Illinois at Urbana-Champaign. He recently received his Graduate Certificate in Sustainable Design and Construction from Boston Architectural College, and he also is an accredited Green Roofing Professional. Before joining The Center in 2012, he worked for National Roofing Contractors Association, most recently as Associate Executive Director of Technical Communications. Prior to his 16 years at NRCA, he worked for Wiss, Janney, Elstner Associates Inc., Northbrook, Ill., an architectural and engineering consulting firm. He is a licensed architect in Illinois and a professional member of several industry organizations, including ASTM International, American Institute of Architects, Green Roofs for Healthy Cities, International Code Council and U.S. Green Building Council Chicago Chapter. Kirby is a frequent presenter and contributing author to the roofing, energy-efficiency and solar industries. He has given numerous presentations, educational seminars and webinars to industry-related associations and construction-affiliated groups. Kirby also is an annual guest lecturer at the Illinois Institute of Technology in Chicago.

Register on the Spatial Data Visualization and Machine Learning in Python today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Spatial Data Visualization and Machine Learning in Python is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Spatial Data Visualization and Machine Learning in Python Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) 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 Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Spatial Data Visualization and Machine Learning in Python, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction 00:14:00 Section 02: Setup and Installations Python Installation 00:03:00 Installing Bokeh 00:04:00 Section 03: Data Preparation Data Preparation 00:24:00 Section 04: Data Visualization Creating a Bar Chart 00:18:00 Creating a Line Chart 00:12:00 Creating a Doughnut Chart 00:22:00 Creating a Magnitude Plot 00:31:00 Creating a Geo Map Plot 00:20:00 Section 05: Machine Learning Data Pre-processing 00:21:00 Building a Predictive Model 00:21:00 Building a Prediction Dataset 00:07:00 Section 06: Building the Dashboard Adding predicted data to our plots - Part 1 00:13:00 Adding predicted data to our plots - Part 2 00:14:00 Adding predicted data to our plots - Part 3 00:15:00 Adding the Grid Plot 00:08:00 Section 07: Creating the Dashboard Server Installing Visual Studio Code 00:01:00 Creating the Project and Virtual Environment 00:08:00 Building and Running the Server 00:12:00 Section 08: Project Source Code Project Source Code 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework.

Reboot Your Brain for Success & Peak Performance is a Neuroencoding Method that delivers long lasting results. The complete program walks participants through the five elements it takes to clear out their brain, boost up their mindset, and update their mental faculties. This workshop is perfect for anyone who wants to reset to their magnificent default.

Special Needs: Level 1 Award for SEN Coordinators in Early Years Settings Embark on a rewarding journey in Special Needs education with our Level 1 Award for SEN Coordinators in Early Years Settings. Gain essential knowledge to support and enhance the learning journey for children with Special Needs. Learning Outcomes: Understand the principles of Special Needs Education (SEND). Develop strategies for safeguarding children with special needs. Assess and support students with special needs effectively. Adapt teaching methods to accommodate diverse special needs. Implement personalized learning plans for special needs students. Promote inclusion and diversity in educational settings. Analyse legislative frameworks related to special needs education. Evaluate the impact of inclusive practices on students with special needs. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Special Needs: Level 1 Award for SEN Coordinators in Early Years Settings: Understanding SEND: Gain a foundational understanding of Special Needs and the diverse educational requirements in early years settings. The SEND Code of Practice - 0 to 25 Years: Master the principles and applications of the SEND Code of Practice to support Special Needs from early childhood to young adulthood. Inclusive Practice in Early Years: Implement inclusive strategies in early years education to create an engaging learning environment for children with Special Needs. Safeguarding Children with SEND: Learn critical safeguarding policies and practices to protect and promote the welfare of children with Special Needs.

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.

Learn to build and deploy a RESTful API using ASP.Net Core, Entity framework, and enterprise-grade practices for a scalable as well as future-proofed web API solution along with understanding the folder structure and files. You will also implement various support tools for logging, documentation, security, and error handling.

Using Blueprints in UE5, you can learn game development without coding. This beginner-friendly course will teach you how to use Unreal Engine's visual coding system. There is no prior experience required, and each lesson will gradually increase your knowledge.

Are you one of those developers who have heard the buzzword about microservices, but you don't know where to start from? Or are you wondering if a microservices architecture is a right fit for your .NET project? Then this course is for you. Learn all about microservices architecture using .NET Core MVC and protect your project or team from the drawbacks of a monolithic application.

Discover your special powers, receive insights and deep healing together with an abundance of light codes taking your life to the next level!