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CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

This qualification is designed for learners aged pre-16 and above who wish to develop skills and knowledge in creative craft. This course has been designed to be as affordable for families as possible. Please note, this is not a GCSE but is a GCSE Level course which is why it is designed to span 2 years, although we offer complete flexibility on the timeframe that learners can complete within. This qualification is a Level 2 Qualification and is Ofqual approved carrying 15 credits. Other examples of Level 2 qualifications are BTEC Level 2 and the Silver Arts Award. Feedback from our past learners shows that this qualiifcation is widely regarded as level to a grade A*-C/4-9 at GCSE standard when applying for college or work placements. Please also note, that whether this course is recognised as a GCSE equivalent by colleges and further education establishments, can vary according to location, college and even between courses at the same college. If reliant on this qualification for entry onto another course, it is recommended that you establish with the college whether or not this will aid admission, before committing to the course. Click here to download the Level 2 Creative Craft Information Pack.pdf Our Open Day event gives a little more insight into how this course works as well as the course content and payment options: We don't impose any minimum or maximum ages on our learners as we recognise that every learner is an individual and is on their own unique learning journey. We believe, that their adult facilitator is the best person to judge whether a learner is ready for a particular course, but to enable you to make this decision we provide a workbook, free for you to try. Simpy email technologytriumphs@outlook.com to request a free sample session. We are also happy to advise you with this decision so do reach out to us if you would like our guidance on this. As part of your Induction pack, your learner will receive a free apron to use within their course, but aside from this we have designed the courses to utilise as affordable as possible. The following is not an exhaustive list, but does highlight the main costs associated with the course. UNIT SUMMARIES 601/3232/2 Credit Value: 15 Total Qualification Time: 150 hours 1 Be able to use materials, tools and equipment to develop craft techniques  1.1 Assess the properties of available materials for craft item(s) including the visual and tactile qualities 1.2 Select materials, tools, equipment and techniques to support craft ideas and give reasons for choices 1.3 Use appropriate tools and equipment for selected techniques 1.4 Develop craft techniques, making effective use of materials, tools and equipment 1.5 Maintain a safe working environment by ensuring safe use of materials, tools and equipment 1 Understand the market within a chosen craft area  1.1 Explore enterprises within a chosen craft area 1.2 Explain what makes them successful 1.3 Describe the market(s) for chosen craft area 1.4 Identify opportunities in chosen market(s) 1.5 Explain the importance of listening to stakeholders when developing ideas 1.6 Explain the importance of balancing risk against the potential reward of creative ideas 1.7 Identify appropriate financial tools to support creative enterprising ideas 1.8 Identify ways to market a creative product 2 Understand employment opportunities within a chosen craft area  The learner can: 2.1 Explore employment opportunities within a chosen craft area 2.2 Describe the characteristics of an enterprising individual in a chosen craft area 2.3 Identify own strengths and areas for development within a chosen craft area 2.4 Produce an action plan for personal development/career aspirations   1 Be able to develop craft ideas  The learner can: 1.1 Use a range of different sources to develop craft ideas 1.2 Develop visual language to communicate craft ideas 1.3 Use feedback and evaluation of own work to develop craft ideas 1.4 Adapt craft ideas in response to feedback and evaluation of own work 1.5 Select preferred craft idea giving reasons for 1.6 Maintain a safe working environment 1 Be able to create and present final craft item(s)  The learner can: 1.1 Use chosen idea to create a production plan 1.2 Use selected tools, materials, equipment and techniques to produce final craft work 1.3 Display craft work in an appropriate way/setting 1.4 Maintain a safe working environment 2 Know how to evaluate the creative and craft making processes  The learner can: 2.1 Evaluate the creative process 2.2 Review final craft item to identify opportunities for improvement or further development

Register on the Learning Support Assistant 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 a digital certificate as proof of your course completion. The Learning Support Assistant 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 Learning Support Assistant 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 Learning Support Assistant, 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 Learning Support Assistant Module-01: The Roles of a Learning Support Assistant (LSA) The Roles of a Learning Support Assistant (LSA) 00:26:00 Module-02: Working with Children in a School Working with Children in a School 00:18:00 Module-03: Assessing Students Assessing Students 00:12:00 Module-04: Skills of a Learning Support Assistant Skills of a Learning Support Assistant 00:23:00 Module-05: Providing for All Children Providing for All Children 00:28:00 Module-06: Safeguarding and Wellbeing of Children and Young People Safeguarding and Wellbeing of Children and Young People 00:22:00 Module-07: Dealing with Emergencies Dealing with Emergencies 00:21:00 Module-08: Special Educational Needs (SEN) Special Educational Needs (SEN) 00:38:00 Module-09: Professional Development Professional Development 00:24:00 Module-10: Time and Stress Management Time and Stress Management 00:21:00 Assignment Assignment - Learning Support Assistant 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.

Register on the Machine Learning in Flutter 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 a digital certificate as a proof of your course completion. The Machine Learning in Flutter course 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 Machine Learning in Flutter Course 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 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 After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. 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 Machine Learning in Flutter course, 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 Unit 01: Introduction Module 01: Course Curriculum 00:02:00 Unit 02: Image Picker and Camera Libraries Module 01: Image Picker Library for Flutter App Development 00:13:00 Module 02: Flutter Image Picker Application Testing 00:01:00 Module 03: Camera Package Setup for Flutter 00:04:00 Module 04: Flutter Camera Package Code 00:08:00 Unit 03: Firebase ML Kit Module 01: Firebase ML kit section Introduction 00:01:00 Module 02: Firebase ML Kit introduction 00:02:00 Unit 04: Image Labeling using ML Kit Module 01: Flutter Image Labeling Section Introduction 00:02:00 Module 02: Importing Starter code for image labeling 00:03:00 Module 03: Image labeling starter code explanation 00:06:00 Module 04: Creating firebase project for image labeling 00:06:00 Module 05: Adding Firebase ML Vision library in Flutter Application 00:10:00 Module 06: Testing Firebase Image labeling application 00:01:00 Module 07: Importing Image Labeling live feed application starter code 00:03:00 Module 08: Flutter Camera Package Code 00:06:00 Module 09: Flutter Image Labeling live feed application code 00:08:00 Module 10: Flutter Image labeling live feed application testing 00:01:00 Unit 05: Section Barcode Scanning Module 01: Flutter Barcode Scanning Section Introduction 00:02:00 Module 02: Importing Starter code for Flutter Barcode Scanning 00:03:00 Module 03: Flutter Barcode Scanning code 00:11:00 Module 04: Flutter Barcode Scanning Application Testing 00:01:00 Module 05: Flutter Barcode Scanning Live Feed Application code 00:08:00 Module 06: Flutter Barcode Scanning Live feed Application Testing 00:01:00 Unit 06: Section Text Recognition Module 01: Flutter Text Recognition Section Introduction 00:01:00 Module 02: Importing Starter code for Flutter Text Recognition 00:03:00 Module 03: Writing Flutter Text Recognition Code 00:09:00 Module 04: Testing Flutter Text Recognition Application 00:01:00 Unit 07: Section Face Detection Module 01: Flutter Face Detection Section Introduction 00:02:00 Module 02: Flutter Face Detection Application Flow 00:01:00 Module 03: Flutter Face Detection code 00:06:00 Module 04: Flutter drawing rectangles around detected faces 00:05:00 Unit 08: Pretrained Tensorflow lite models Module 01: Pretrained Tensorflow lite models Section Introduction 00:02:00 Unit 09: Section Image Classification Module 01: Flutter Image classification Section introduction 00:02:00 Module 02: Importing Starter code for Flutter Image classification application 00:03:00 Module 03: Starter code explanation for Flutter Image classification 00:06:00 Module 04: Writing flutter image classification code 00:13:00 Module 05: Testing flutter image classification application 00:02:00 Module 06: Importing Flutter live feed Image classification application starter code 00:03:00 Module 07: Starter code explanation of Flutter Live feed Image classification application 00:05:00 Module 08: Writing Flutter Image classification code 00:11:00 Module 09: Testing live feed image classification flutter application 00:01:00 Unit 10: Section object detection Module 01: Flutter Object detection section introduction 00:02:00 Module 02: Importing Application code object detection flutter 00:05:00 Module 03: Flutter Object detection code 00:13:00 Module 04: Flutter Drawing Rectangles around detected objects 00:04:00 Module 05: Importing the code for live feed object detection flutter application 00:02:00 Module 06: Testing object detection live feed flutter application 00:01:00 Module 07: Flutter Live feed object detection application code 00:10:00 Unit 11: Section human pose estimation Module 01: Flutter Pose estimation section introduction 00:02:00 Module 02: Importing Flutter Pose estimation Application code 00:04:00 Module 03: Flutter Pose estimation code 00:10:00 Module 04: Importing pose estimation live feed flutter application code 00:02:00 Module 05: Flutter Live feed pose estimation application demo 00:09:00 Module 06: Using PoseNet model for Flutter Live feed pose estimation application 00:08:00 Unit 12: Image segmentation section Module 01: Flutter Image Segmentation Section Introduction 00:02:00 Module 02: Importing Flutter Image Segmentation Application code 00:03:00 Module 03: Flutter using DeepLab model for image segmentation 00:09:00 Unit 13: Section Training Image Classification Models Module 01: Section Introduction 00:02:00 Module 02: Machine Learning and Image classification 00:02:00 Unit 14: Dog Breed Classification Module 01: Flutter getting the dataset for model training 00:05:00 Module 02: Flutter Training the model 00:06:00 Module 03: Flutter Dog Breed Classification Application 00:18:00 Module 04: Flutter Live feed dog breed classification application 00:03:00 Module 05: Testing live feed dog breed classification application 00:01:00 Unit 15: Fruits Recognition using Transfer Learning Module 01: Transfer learning introduction 00:02:00 Module 02: Flutter getting the dataset for model training 00:05:00 Module 03: Flutter Training fruit recognition model 00:09:00 Module 04: Flutter Testing Live feed fruits recognition application 00:01:00 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.

Who is this course for? Advanced 3ds Max and After Effects Masterclass. This course is designed for 3D artists, animators, and visual effects artists seeking comprehensive training in 3ds Max and After Effects. Whether you're a beginner or an intermediate learner, this course provides skills and techniques for creating stunning 3D models and captivating visual effects. Check our Website Duration: 10 hours Training Approach: 1-on-1 Sessions and Tailored Content. When: Book anyday Mon to Sat between 9 am and 7 pm. Course Title: Motion Graphics Mastery: 3ds Max and After Effects Duration: 10 hours Course Highlights: Introduction to 3ds Max: Get acquainted with the 3ds Max interface Create captivating 3D objects and scenes Explore cameras, lighting, materials, and textures Basic Animation Principles in 3ds Max: Grasp keyframes and interpolation techniques Craft seamless animation cycles for 3D objects Apply animation principles with precision using the graph editor Advanced Animation Techniques in 3ds Max: Master custom controllers and expressions for intricate animations Utilize inverse kinematics for lifelike motion Create dynamic particle systems and simulations for realistic effects Exporting 3D Scenes to After Effects: Prepare 3D scenes for seamless export Effortlessly import 3D scenes into After Effects Explore 3D layer properties for depth and realism Basic Compositing in After Effects: Navigate the After Effects interface with confidence Utilize keyframes and animation curves for smooth transitions Blend 2D and 3D elements seamlessly Apply a variety of effects and filters for added visual impact Advanced Compositing Techniques in After Effects: Employ masks and mattes for precision and creative effects Harness the power of 3D camera tracking for realistic integration Work with green screen footage for professional compositions Create breathtaking special effects that captivate the audience Integrating 3D and Live-Action Footage in After Effects: Match camera angles and movements seamlessly Incorporate 3D camera data for dynamic compositions Add shadows and reflections to enhance realism Rendering and Outputting Animations: Efficiently render 3D scenes from 3ds Max Utilize the After Effects render queue for optimized output Export animations in various formats tailored to specific needs Motion Graphics Projects: Craft a fundamental motion graphics sequence Design a captivating animated logo Create an engaging animated title sequence that captures attention Course Requirements: Computer with 3ds Max and After Effects software installed Basic understanding of computer operations Enthusiasm for exploring the world of motion graphics and animation Upon completing the Motion Graphics Mastery: 3ds Max and After Effects course, participants will: Master 3D Animation: Gain expertise in creating intricate 3D objects, scenes, and animations in 3ds Max, applying advanced animation principles and techniques. Seamless Integration: Learn to seamlessly export 3D scenes from 3ds Max to After Effects, effectively blending 2D and 3D elements for dynamic compositions. Advanced Compositing: Acquire advanced compositing skills, including the use of masks, mattes, 3D camera tracking, and green screen techniques to create professional-grade visual effects. Professional Rendering: Understand the process of rendering 3D scenes and animations, ensuring optimal quality for various output formats. Motion Graphics Projects: Develop practical motion graphics projects, including motion sequences, animated logos, and title sequences, showcasing creativity and technical proficiency. Creative Problem-Solving: Enhance problem-solving skills through hands-on projects, allowing participants to tackle real-world motion graphics challenges effectively. Industry-Standard Tools: Gain proficiency in using industry-standard software tools - 3ds Max and After Effects - essential for careers in animation, visual effects, and motion graphics. Professional Portfolio: Create a compelling portfolio of motion graphics work, showcasing diverse skills and creativity, essential for professional opportunities in the field. Effective Collaboration: Develop teamwork and communication skills by collaborating on motion graphics projects, fostering a collaborative and creative working environment. Confidence and Expertise: Build confidence in applying animation principles, compositing techniques, and visual effects skills, enabling participants to approach complex projects with confidence and creativity. Download Adobe After Effects. Download Autodesk 3ds max. Skills Acquired: Advanced 3D Modeling: Master the intricacies of 3D object creation and manipulation in 3ds Max. Visual Effects Creation: Learn the art of crafting compelling visual effects using After Effects. Texturing and Lighting: Understand texturing techniques and lighting principles for realistic 3D scenes. Animation Techniques: Develop skills in animating 3D models and adding dynamic motion to visual effects. Job Opportunities: 3D Modeler: Create detailed and realistic 3D models for various industries. Visual Effects Artist: Work in film, TV, or advertising, creating stunning visual effects sequences. Motion Graphics Designer: Design animated graphics and visual elements for videos and multimedia projects. Game Designer: Contribute to game development by creating 3D assets and visual effects. Video Editor: Enhance videos with professional visual effects and animations. Step into Personalized Learning! Why Us? Discover the Advantages: Tailored One-on-One Training: Experience individualized coaching from skilled architects and designers, either in-person at (SW96DE) or through live online sessions, available Monday to Saturday, 9 am to 7 pm. Customized Tutorials: Take home exclusive video tutorials crafted to elevate your learning experience. Comprehensive Learning Resources: Access a digital reference book for thorough revision, ensuring a deep understanding of every concept. Free Ongoing Support: Enjoy continuous post-course assistance via phone or email, ensuring your success even after class completion. Flexible Syllabus: We tailor the syllabus and projects to your specific needs, ensuring focused learning on what matters most to you. Official Certificate: Certificate upon course completion. Why Us? Individualized Learning Support: Our courses, ranging from 10 to 120 hours, offer unwavering assistance at every stage. With personalized homework assignments and free post-course support, we guide you toward mastering software with unmatched expertise. Personal Attention, No Crowded Classrooms: Bid farewell to overcrowded classrooms. Experience the intimacy of one-on-one learning, ensuring you receive the undivided attention you deserve in a confident and comfortable environment. Financial Flexibility: Embarking on your educational journey shouldn't strain your finances. We offer diverse payment plans tailored to your needs. Explore available options and begin your learning adventure today. Expert Instructors, Real-world Experience: Our instructors, chosen for their industry expertise and passion for teaching, are dedicated to imparting invaluable skills to eager learners.

Overview By enroling in Machine Learning Basics, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic. The Machine Learning Basics course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Machine Learning Basics course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Machine Learning Basics Program. So enrol in our Machine Learning Basics course right away if you're keen to envision yourself in a rewarding career. Description Enroling in this Machine Learning Basics course can improve your Machine Learning Basics perspective, regardless of your skill levels in the Machine Learning Basics topics you want to master. If you're already a Machine Learning Basics expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Machine Learning Basics insights that will help you make the most of your time. This Machine Learning Basics course will act as a guide for you if you've ever wished to excel at Machine Learning Basics. Why Choose Us? This course is accredited by the CPD Quality Standards. Lifetime access to the whole collection of the learning materials. Online test with immediate results. Enroling in the course has no additional cost. You can study and complete the course at your own pace. Study for the course using any internet-connected device, such as a computer, tablet, or mobile device. Certificate of Achievement Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99. Who Is This Course For? This Machine Learning Basics course is a great place to start if you're looking to start a new career in Machine Learning Basics field. This training is for anyone interested in gaining in-demand Machine Learning Basics proficiency to help launch a career or their business aptitude.  Requirements The Machine Learning Basics course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Machine Learning Basics, without any fuss. Career Path This Machine Learning Basics training will assist you develop your Machine Learning Basics ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a Machine Learning Basics professional story and personalise your path to a new career. Furthermore, developing this Machine Learning Basics skillset can lead to numerous opportunities for high-paying jobs in a variety of fields. Order Your Certificate To order CPD Quality Standard Certificate, we kindly invite you to visit the following link: Course Curriculum Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and Total Charge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:16:00 Predicting Learning Success: Classification Tree Models 00:09:00 Order Your Certificate Order Your Certificate 00:00:00

Overview Are you ready to enhance your career and job prospects in the exciting field of Machine Learning? Our 'Machine Learning with Python Course' is your gateway to mastering this transformative technology. Dive into the world of Machine Learning and gain valuable insights into its foundational concepts through a structured curriculum. From understanding the basics of Machine Learning to harnessing the power of Numpy and Matplotlib libraries, this course equips you with the knowledge you need to excel in this dynamic field. Explore the intricacies of Polynomial Regression and unlock the potential of data-driven decision-making. With Machine Learning at the forefront, elevate your career and stay ahead in the competitive job market. Learning Outcomes: By the end of this course, you will: Gain a deep understanding of Machine Learning principles and techniques. Master the Numpy library for efficient data manipulation and analysis. Create insightful data visualizations using Matplotlib. Develop expertise in Polynomial Regression for predictive modeling. Apply Machine Learning concepts to real-world problems. Be prepared to pursue advanced Machine Learning specializations. Description Our 'Machine Learning with Python Course' offers a comprehensive journey into the realm of Machine Learning. With a focus on theoretical foundations, this course provides you with a strong knowledge base to tackle complex problems in data analysis and prediction. You'll delve into essential topics such as Numpy and Matplotlib, gaining the skills necessary for data manipulation and visualization. The course culminates in an exploration of Polynomial Regression, a vital tool in predictive modeling. Whether you're a beginner or looking to reinforce your understanding of Machine Learning, this course is designed to empower you with the knowledge you need. Why Choose Us? This course is accredited by the CPD Quality Standards. Lifetime access to the whole collection of the learning materials. Online test with immediate results. Enroling in the course has no additional cost. You can study and complete the course at your own pace. Study for the course using any internet-connected device, such as a computer, tablet, or mobile device. Certificate of Achievement Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99. Who Is This Course For? Aspiring data scientists and analysts. Professionals seeking to transition into Machine Learning roles. Students and enthusiasts passionate about data-driven solutions. Anyone interested in understanding the foundations of Machine Learning. Requirements The Machine Learning with Python Course course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Machine Learning with Python Course, without any fuss. Career Path Machine Learning Engineer Data Scientist AI Researcher Data Analyst Business Intelligence Analyst Software Developer Statistician Order Your Certificate To order CPD Quality Standard Certificate, we kindly invite you to visit the following link: Course Curriculum Section 01: Introduction Introduction to Course 00:06:00 What is Machine Learning 00:05:00 Life Cycle 00:05:00 Section 02: Numpy Library Introduction to Numpy Library 00:07:00 Creating Arrays from Scratch 00:06:00 Creating Arrays from Scratch Continued 00:05:00 Array Indexing and Slicing 00:10:00 Numpy Array Functions and Shape Modification 00:09:00 Mathematical Operations on Numpy Arrays 00:07:00 Introduction to Pandas Library 00:10:00 Working with Pandas DataFrames 00:07:00 Slicing and Indexing with Pandas 00:07:00 Create DataFrame and Explore Dataset 00:08:00 Data Analysis with Pandas DataFrame 00:12:00 Other Useful Methods in Pandas Library 00:04:00 Section 03: Matplotlib Introduction to Matplotlib 00:06:00 Customizing Line Plots 00:08:00 Create Plot Using DataFrame 00:09:00 Standard Scaler to Scale the Data 00:06:00 Encoding Categorical Data 00:11:00 Sklearn Pipeline and Column Transformer 00:12:00 Evaluation Metrics in Sklearn 00:07:00 Linear Regression 00:12:00 Evaluation of Linear Regression Model 00:10:00 Section 04: Polynomial Regression Polynomial Regression 00:13:00 Polynomial Regression Continued 00:13:00 Sklearn Pipeline Polynomial Regression 00:11:00 Decision Tree Classifier 00:13:00 Decision Tree Evaluation 00:07:00 Random Forest 00:06:00 Support Vector Machines 00:09:00 K-means Clustering 00:04:00 KMeans Clustering - Hands On 00:12:00 Data Loading and Analysis 00:06:00 Dimensionality Reduction with PCA 00:09:00 Hyper Parameter Tuning 00:09:00 Summary 00:02:00 Order Your Certificate Order Your Certificate 00:00:00

Overview By enroling in Listening Masterclass, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic. The Listening Masterclass course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Listening Masterclass course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Listening Masterclass Program. So enrol in our Listening Masterclass course right away if you're keen to envision yourself in a rewarding career. Description Enroling in this Listening Masterclass course can improve your Listening Masterclass perspective, regardless of your skill levels in the Listening Masterclass topics you want to master. If you're already a Listening Masterclass expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Listening Masterclass insights that will help you make the most of your time. This Listening Masterclass course will act as a guide for you if you've ever wished to excel at Listening Masterclass. Why Choose Us? This course is accredited by the CPD Quality Standards. Lifetime access to the whole collection of the learning materials. Online test with immediate results. Enroling in the course has no additional cost. You can study and complete the course at your own pace. Study for the course using any internet-connected device, such as a computer, tablet, or mobile device. Will I Receive A Certificate Of Completion? Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99. Who Is This Course For? This Listening Masterclass course is a great place to start if you're looking to start a new career in Listening Masterclass field. This training is for anyone interested in gaining in-demand Listening Masterclass proficiency to help launch a career or their business aptitude.  Requirements The Listening Masterclass course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Listening Masterclass, without any fuss. Career Path This Listening Masterclass training will assist you develop your Listening Masterclass ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a Listening Masterclass professional story and personalise your path to a new career. Furthermore, developing this Listening Masterclass skillset can lead to numerous opportunities for high-paying jobs in a variety of fields. Order Your Certificate To order CPD Quality Standard Certificate, we kindly invite you to visit the following link: Course Curriculum Introduction to Listening Masterclass Introduction 00:06:00 Module 01: What are Good Listening Skills? What are Good Listening Skills? 00:04:00 Pay Attention 00:03:00 Show That You're Listening 00:04:00 Provide Feedback 00:04:00 Defer Judgment 00:04:00 Respond Appropriately 00:04:00 Module 02: Difference between Active and Passive Listening Difference Between Active and Passive Listening 00:04:00 What is Active Listening 00:04:00 What is Passive Listening? 00:04:00 How Non-verbal Cues Are a Part of Listening 00:04:00 Verbal Ques for Active Listening 00:04:00 How to Really Listen to Someone 00:05:00 Module 03: Difference between Listening and Hearing Difference between Listening and Hearing 00:04:00 Reasons We Hear What We Want To Hear 00:04:00 Difference between Listening and hearing 00:04:00 We Only Hear What We Want to Hear 00:05:00 Are You Really Listening, or Just Waiting to Talk? 00:05:00 How to Really Listen to Someone 00:05:00 Module 04: Ways to Improve Your Listening Skills Ways to Improve Your Listening Skills 00:04:00 Demonstrate Your Listening Skills By Paraphrasing 00:04:00 Make Consistent Eye Contact 00:04:00 Ask Open Ended Questions 00:04:00 Show You're A Good Listener By Nodding 00:03:00 Listen To Understand 00:04:00 Module 05: Types of Listening Types of Listening 00:03:00 Appreciative Listening 00:04:00 Empathic Listening 00:03:00 Comprehensive Listening 00:05:00 Discerning Listening 00:04:00 Evaluative Listening 00:04:00 Module 06: Benefits of Good Listening Skills Benefits of Good Listening Skills 00:04:00 You Become a Better Student 00:04:00 You Become a Better Friend 00:03:00 People Will Perceive You as Intelligent and Perceptive 00:03:00 Help Your Public Speaking 00:04:00 Benefits of Listening 00:04:00 Module 07: Conclusion Review 00:04:00 Assignment Assignment -Listening Masterclass 00:00:00 Order Your Certificate Order Your Certificate 00:00:00

Overview By enroling in Machine Learning for Predictive Maps in Python and Leaflet, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic. The Machine Learning for Predictive Maps in Python and Leaflet course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Machine Learning for Predictive Maps in Python and Leaflet course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Machine Learning for Predictive Maps in Python and Leaflet Program. So enrol in our Machine Learning for Predictive Maps in Python and Leaflet course right away if you're keen to envision yourself in a rewarding career. Description Enroling in this Machine Learning for Predictive Maps in Python and Leaflet course can improve your Machine Learning for Predictive Maps in Python and Leaflet perspective, regardless of your skill levels in the Machine Learning for Predictive Maps in Python and Leaflet topics you want to master. If you're already a Machine Learning for Predictive Maps in Python and Leaflet expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Machine Learning for Predictive Maps in Python and Leaflet insights that will help you make the most of your time. This Machine Learning for Predictive Maps in Python and Leaflet course will act as a guide for you if you've ever wished to excel at Machine Learning for Predictive Maps in Python and Leaflet. Why Choose Us? 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This training is for anyone interested in gaining in-demand Machine Learning for Predictive Maps in Python and Leaflet proficiency to help launch a career or their business aptitude.  Requirements The Machine Learning for Predictive Maps in Python and Leaflet course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Machine Learning for Predictive Maps in Python and Leaflet, without any fuss. Career Path This Machine Learning for Predictive Maps in Python and Leaflet training will assist you develop your Machine Learning for Predictive Maps in Python and Leaflet ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a Machine Learning for Predictive Maps in Python and Leaflet professional story and personalise your path to a new career. 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Course Curriculum Section 01: Introduction Introduction 00:10:00 Section 02: Setup and Installations Python Installation 00:04:00 Creating a Python Virtual Environment 00:07:00 Installing Django 00:09:00 Installing Visual Studio Code IDE 00:06:00 Installing PostgreSQL Database Server Part 1 00:03:00 Installing PostgreSQL Database Server Part 2 00:09:00 Section 03: Writing the Django Server-Side Code Adding the settings.py Code 00:07:00 Creating a Django Model 00:10:00 Adding the admin.py Code 00:21:00 Section 04: Writing the Application Front-end Code Creating Template Files 00:10:00 Creating Django Views 00:10:00 Creating URL Patterns for the REST API 00:09:00 Adding the index.html code 00:04:00 Adding the layout.html code 00:19:00 Creating our First Map 00:10:00 Adding Markers 00:16:00 Section 05: Machine Learning Installing Jupyter Notebook 00:07:00 Data Pre-processing 00:31:00 Model Selection 00:20:00 Model Evaluation and Building a Prediction Dataset 00:11:00 Section 06: Automating the Machine Learning Pipeline Creating a Django Model 00:04:00 Embedding the Machine Learning Pipeline in the Application 00:42:00 Creating a URL Endpoint for our Prediction Dataset 00:06:00 Section 07: Leaflet Programming Creating Multiple Basemaps 00:09:00 Creating the Marker Layer Group 00:10:00 Creating the Point Layer Group 00:12:00 Creating the Predicted Point Layer Group 00:07:00 Creating the Predicted High Risk Point Layer Group 00:12:00 Creating the Legend 00:09:00 Creating the Prediction Score Legend 00:15:00 Section 08: Project Source Code Resource 00:00:00