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Highlights of the Course Course Type: Online Learning Duration: 1 to 2 hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about electric circuits Understand the core competencies and principles of electric circuits Explore the various areas of electric circuits Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert electrical engineer Overview Master the skills you need to propel your career forward in electric circuits. This course will equip you with the essential knowledge and skillset that will make you a confident electrical engineer and take your career to the next level. This comprehensive early years teaching course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this early years teaching course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective electric circuits practice and equip you with the essential skills, confidence and competence to assist you in the electric circuits industry. You'll gain a solid understanding of the core competencies required to drive a successful career in electric circuits. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for electrical engineer or for people who are aspiring to specialise in electric circuits. Enrol in this early years teaching course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive early years teaching course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this electric circuits can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This early years teaching course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This early years teaching course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This early years teaching course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Basic Concepts What Is an Electric Circuit 00:02:00 System of Units 00:06:00 What Is an Electric Charge 00:05:00 What Is an Electric Current 00:08:00 Example 1 00:01:00 Example 2 00:02:00 Example 3 00:02:00 What Is Voltage 00:07:00 What Is Power 00:06:00 What Is Energy 00:03:00 Example 4 00:02:00 Example 5 00:02:00 Dependent and Independent Sources 00:07:00 Example 6 Part 1 00:03:00 Example 6 Part 2 00:01:00 Application 1 Cathode Ray Tube 00:03:00 Example 7 00:04:00 Application 2 Electricity Bills 00:02:00 Basic Laws Introduction to Basic Laws 00:01:00 Definition of Resistance 00:06:00 Ohm's Law 00:02:00 Types of Resistances 00:05:00 Open and Short Circuit 00:05:00 Definition of Conductance 00:04:00 Example 1 00:01:00 Example 2 00:03:00 Example 3 00:03:00 Branch, Node and Loops 00:07:00 Series and Parallel Connection 00:03:00 KCL 00:03:00 KVL 00:03:00 Example 4 00:04:00 Example 5 00:02:00 Example 6 00:05:00 Series Resistors and Voltage Division 00:07:00 Parallel Resistors and Current Division 00:11:00 Analogy between Resistance and Conductance 00:06:00 Example 7 00:03:00 Example 8 00:04:00 Introduction to Delta-Wye Transformation 00:05:00 Delta to Wye Transformation 00:05:00 Wye to Delta Transformation 00:06:00 Example 9 00:02:00 Example 10 00:15:00 Application Lighting Bulbs 00:03:00 Example 11 00:05:00 Methods of Analysis Introduction to Methods of Analysis 00:01:00 Nodal Analysis with No Voltage Source 00:14:00 Example 1 00:05:00 Cramer's Method 00:04:00 Nodal Analysis with Voltage Source 00:06:00 Example 2 00:05:00 Example 3 00:12:00 Mesh Analysis with No Current Source 00:10:00 Example 4 00:03:00 Example 5 00:06:00 Mesh Analysis with Current Source 00:06:00 Example 6 00:07:00 Nodal Vs Mesh Analysis 00:04:00 Application DC Transistor 00:04:00 Example 7 00:04:00 Circuit Theorems Introduction to Circuit Theorems 00:02:00 Linearity of Circuit 00:07:00 Example 1 00:03:00 Superposition Theorem 00:07:00 Example 2 00:04:00 Example 3 00:06:00 Source Transformation 00:07:00 Example 4 00:05:00 Example 5 00:03:00 Thevenin Theorem 00:09:00 Example 6 00:06:00 Example 7 00:05:00 Norton's Theorem 00:05:00 Example 8 00:03:00 Example 9 00:05:00 Maximum Power Transfer 00:04:00 Example 10 00:03:00 Resistance Measurement 00:05:00 Example 11 00:01:00 Example 12 00:04:00 Summary 00:04:00 Operational Amplifiers Introduction to Operational Amplifiers 00:03:00 Construction of Operational Amplifiers 00:07:00 Equivalent Circuit of non Ideal Op Amp 00:09:00 Vo Vs Vd Relation Curve 00:03:00 Example 1 00:09:00 Ideal Op Amp 00:07:00 Example 2 00:04:00 Inverting Amplifier 00:05:00 Example 3 00:02:00 Example 4 00:02:00 Non Inverting Amplifier 00:08:00 Example 5 00:03:00 Summing Amplifier 00:04:00 Example 6 00:02:00 Difference amplifier 00:05:00 Example 7 00:07:00 Cascaded Op Amp Circuits 00:06:00 Example 8 00:04:00 Application Digital to Analog Converter 00:05:00 Example 9 00:04:00 Instrumentation Amplifiers 00:05:00 Example 10 00:01:00 Summary 00:04:00 Capacitors and Inductors Introduction to Capacitors and Inductors 00:02:00 Capacitor 00:06:00 Capacitance 00:02:00 Voltage-Current Relation in Capacitor 00:03:00 Energy Stored in Capacitor 00:06:00 DC Voltage and Practical Capacitor 00:02:00 Example 1 00:01:00 Example 2 00:01:00 Example 3 00:04:00 Equivalent Capacitance of Parallel Capacitors 00:02:00 Equivalent Capacitance of Series Capacitors 00:03:00 Example 4 00:02:00 Definition of Inductors 00:06:00 Definition of Inductance 00:03:00 Voltage-Current Relation in Inductor 00:03:00 Power and Energy Stored in Inductor 00:02:00 DC Source and Inductor 00:03:00 Example 5 00:02:00 Series Inductors 00:03:00 Parallel Inductors 00:03:00 Small Summary to 3 Basic Elements 00:02:00 Example 6 00:01:00 Example 7 00:04:00 Application Integrator 00:04:00 Example 8 00:03:00 Application Differentiator 00:02:00 Example 9 00:06:00 Summary 00:04:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Plagiarism checkers are essential tools that help ensure originality in your work by detecting unoriginal content. It covers how these tools work, their key features, and the differences between free and paid versions.

Join us to enjoy the fluid painting! It's a brilliant choice to make a gift for your friends & family. Good pick as self-retreat workshop! About the workshop During the fluid painting workshop, you will learn some skills of using fluid paints. No experience is needed and fit for the beginner. All materials are provided. Just come and enjoy! It's also a brilliant choice to make a gift for your friends & family. A good pick as a self retreat workshop as well! - Each session is 1.5 hrs (within 2 hours). -You will own your art piece after the workshop(Fluid paints on one little moulding character and a canvas panel/wooden board according to your choice) - All paints and materials are provided. -Soft drinks, Coffee, hot chocolate and tea are FREE! -Private group sessions with appointed date and time are available by reservation ( 8- 10 people). Please feel free to contact us by email for a discount. www.getfungarden.com *View workshops in the past: https://www.instagram.com/stories/highlights/17971768625498102/

Enhance your skills with the CPD Certified Mechanical Engineering course. This program covers essential topics such as mechanics, thermodynamics, materials science, and fluid dynamics. Gain practical knowledge and industry-recognized certification to boost your career and stay ahead in the field of mechanical engineering.

The aim of this course is to guide you to use Photoshop CC, an industry-leading image editing application and help you become an Adobe Certified Associate. With this course, you will discover the basics of digital imaging-from working with multiple images to customising the Photoshop interface according to your needs. Learn to use different Photoshop tools to edit, crop and retouch photos, without compromising the highest-quality output. This course also illustrates the most productive methods to perform common tasks and explains how to work efficiently and excellently with Adobe Photoshop. Furthermore, master the critical features such as adjustment layers, blend modes, filters, and so much more, and unveil the secrets of nondestructive editing using Smart Objects. On completion, you will be empowered and able to instantly get the image results you want and consider yourself as a creative professional. Your Learning Goals: Discover all the tools and features that loaded with Photoshop CC 2019 and get the image results you want. Learn different kinds of Selection techniques Work with images and combine images together seamlessly. Explore the most efficient ways to perform common editing tasks and retouching like a pro. Know the advantage and disadvantage of various image file formats. Learn useful keyboard shortcuts and smart practices to export and share images. Build confidence and be comfortable in using Adobe Photoshop CC. Develop all the skills needed to design your own graphics from start to finish. Who is this Course for? This endorsed Photoshop CC 2019 MasterClass  is ideal for those who have prior experience and practical knowledge in this field and would like to build on their skills to work their way up to a senior-level role. Those who are new to HR and want to expand their knowledge of fundamental principles and procedures will also find this course beneficial. This course is a complete introduction to the fundamentals of HR management and will benefit newcomers in this industry who are looking to add new skills to their CV. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of the English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Introduction Why learn Photoshop? 00:03:00 How to study from this course 00:03:00 Getting an Adobe Certification 00:05:00 Basics Basics Chapter Introduction 00:01:00 Working with Images 00:10:00 User Interface 00:11:00 Navigation 00:09:00 Image Size and Resolution 00:08:00 Cropping Images 00:10:00 Color Modes 00:06:00 Layers Layers Chapter Introduction 00:01:00 Layers Essentials 00:14:00 Layers panel 00:11:00 Special Layers 00:13:00 Layer Styles 00:07:00 Blend Modes 00:07:00 Drawing Drawing Chapter Introduction 00:01:00 Brush Tool Essentials 00:17:00 Creating Custom Brush 00:14:00 Vector Shapes 00:17:00 Tranformations Transformations Chapter Introduction 00:01:00 Tranformations Essentials 00:15:00 Special Transformations 00:10:00 Selections Selections based on color and contrast 00:16:00 Selections based on color and contrast 00:24:00 Advanced Selection Techniques 00:12:00 Complex Selection Project 00:16:00 Masking Masking Chapter Introduction 00:01:00 Non-destructive Workflow 00:24:00 Pixel Masks 00:16:00 Vector Masks for Geometric Shapes 00:10:00 Vector Masks for Organic Shapes 00:07:00 Smart Objects Smart Objects Chapter Introduction 00:01:00 Smart Objects Essential 00:09:00 Vector Smart Objects 00:07:00 Linked Smart Objects 00:11:00 Smart Filters 00:15:00 Adjustment Layers Adjustment Layers Chapter Introduction 00:01:00 Adjustment Layers Essentials 00:10:00 Tonal Adjustments 00:15:00 Color Adjustments 00:19:00 Contrast Adjustments 00:10:00 Retouching Retouching Chapter Introduction 00:01:00 Healing Brushes 00:14:00 Clone Stamp Tool Essentials Part 1 00:23:00 Liquify Filter 00:11:00 Content-aware Techniques 00:13:00 Dodge and Burn Tools 00:15:00 Portrait Retouching project 00:25:00 Photo Restoration project 00:14:00 Advanced Clone Stamp Tool Techniques 00:13:00 Bridge and Camera RAW Chapter Introduction 00:01:00 Bridge Integration 00:08:00 Adobe Camera RAW 00:05:00 Type Type Chapter Introduction 00:01:00 Working with Text 00:15:00 Formatting Text 00:10:00 Creative Techniques with Text 00:18:00 Save and Export Chapter Introduction 00:01:00 Saving Your Work 00:09:00 Creating Print-ready PDFs 00:12:00 Saving Files for the Web 00:08:00 Workflows Workflows Chapter Introduction 00:01:00 Timeline Panel 00:12:00 3D Layers 00:15:00 Lightroom Integration 00:10:00 User Experience Design 00:04:00 Photoshop Mobile Apps 00:13:00 New Features in CC 2018 Variable and SVG Fonts 00:06:00 Updated Brushes panel 00:03:00 Brush Smoothing 00:07:00 Symmetrical Painting 00:02:00 Curvature Tool 00:04:00 Select & Mask 00:03:00 Improved Upscaling with Preserve Details 2.0 00:05:00 General Improvements 00:04:00 Conclusion 00:01:00 CC 2019 New Features Content-Aware Fill Workspace 00:06:00 Painting Improvements 00:07:00 Frame Tool 00:15:00 Updated behaviours 00:10:00 Conclusion Prepare for the Adobe Certified Associate exam 00:09:00 Build Your Portfolio 00:05:00 Exercise Files Exercise files - Photoshop CC 2019 MasterClass 00:00:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

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

Duration 3 Days 18 CPD hours This course is intended for This course is designed for broadcast engineers. It might also be of interest to technical solution architects, network engineers, and network administrators. Overview After taking this course, you should be able to: Describe the overall solution and how it works, and identify all components of the solution and their functions Understand initial sizing and capacity Understand the basic requirements for IPFM Understand how Non-Blocking Multicast (NBM) and multicast function in the IPFM Understand and verify Precision Time Protocol (PTP) clocking Describe the DCNM Media Controller Demonstrate the DCNM Media Controller configuration and verification Explain how to deploy an IPFM solution in a high-availability manner Use the DCNM Media Controller to monitor fabric and to troubleshoot basic connectivity and performance issues Understand the approach and basic steps involved in responding to alarms and other notifications The Operating Cisco IP Fabric for Media Solution(IPFMSN) v2.0 course introduces you to the Cisco© IP Fabric for Media (IPFM) solution. The course is designed for broadcast engineers who will use IP technologies to replace Serial Digital Interface (SDI)-based deployments. You will learn about Cisco IPFM deployment, operation, and troubleshooting.The course also covers the Data Center Network Manager (DCNM) Media Controller, a core component of the Cisco IPFM solution. Through lab exercises that focus on building IP fabric as a baseline for a complete IPFM solution, you will learn how to deploy and troubleshoot the DCNM Media Controller to control flows through the fabric. Course Outline Introducing Cisco IP Fabric for Media Media over IP Standardization Designing Cisco IPFM Solution Building Cisco IP Fabric for Media Exploring Non-Blocking Multicast in Cisco IPFM Describing Cisco DCNM Introducing Cisco DCNM PowerOn Auto Provisioning (POAP) Process Implementing Cisco DCNM Flow and Host Policies Precision Time Protocol Cisco IPFM Operations, Administration, and Management Cisco IPFM High Availability Monitoring and Troubleshooting Cisco IPFM Operation

Duration 5 Days 30 CPD hours This course is intended for This class is designed for email digital marketers who manage the email channel for their organization. Whether you are new to Marketing Cloud or looking for tips on how to improve your existing customer journeys, this class is a great place to start. No prior knowledge of Marketing Cloud is needed. Overview When you complete this course, you will be able to: Explain compliance concepts to ensure optimal deliverability. Use tools within Marketing Cloud to uphold deliverability standards. Utilize Email Design best practices to ensure the best customer experience. Develop effective, relevant messages using Content Builder. Design and test different delivery methods and options when sending an email message. Design and execute customer journeys using automation tools within Marketing Cloud. Differentiate the use cases for different automation activities in Automation Studio and Journey Builder. Define fundamental data management and structure terminology. Use data segmentation tools to create targeted emails. Apply a simple data model concept to a real-world scenario. Define subscriber statuses, unsubscribe methods, and preferences. Analyze marketing campaigns using common KPIs. Solve a common marketing problem using troubleshooting guidance. Prioritize testing methods and tools to ensure quality control. Explain fundamental account and sending administration. Know where to go for more information, guidance, and support. Describe capabilities across the platform. Start your journey to becoming a Marketing Cloud Specialist. In this 5-day, expert-led class, you will learn how to build customer journeys within Marketing Cloud. Our team of Marketing Cloud pros will walk you through best practices related to executing, monitoring, and analyzing your journeys, arming you with the tools and know-how to design personalized journeys and engage with your customers in a whole new way. Course Outline Introduction to Salesforce Marketing Cloud Administration Subscriber and Data Management Email Message Design and Creation Message Testing, Delivery, and Email Marketing Best Practices Marketing Automation Analytics and Troubleshooting Summary

Overview This Nutrition : Build Your Diet Plan course will unlock your full potential and will show you how to excel in a career in Nutrition : Build Your Diet Plan. So upskill now and reach your full potential. Everything you need to get started in Nutrition : Build Your Diet Plan is available in this course. Learning and progressing are the hallmarks of personal development. This Nutrition : Build Your Diet Plan will quickly teach you the must-have skills needed to start in the relevant industry. In This Nutrition : Build Your Diet Plan Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Nutrition : Build Your Diet Plan skills to help you advance your career. Acquire a comprehensive understanding of various Nutrition : Build Your Diet Plan topics and tips from industry experts. Learn in-demand Nutrition : Build Your Diet Plan skills that are in high demand among UK employers, which will help you to kickstart your career. This Nutrition : Build Your Diet Plan course covers everything you must know to stand against the tough competition in the Nutrition : Build Your Diet Plan field.  The future is truly yours to seize with this Nutrition : Build Your Diet Plan. Enrol today and complete the course to achieve a Nutrition : Build Your Diet Plan certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Nutrition : Build Your Diet Plan course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Nutrition : Build Your Diet Plan course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Nutrition : Build Your Diet Plan course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Nutrition : Build Your Diet Plan is suitable for anyone aspiring to start a career in Nutrition : Build Your Diet Plan; even if you are new to this and have no prior knowledge on Nutrition : Build Your Diet Plan, this course is going to be very easy for you to understand.  And if you are already working in the Nutrition : Build Your Diet Plan field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Nutrition : Build Your Diet Plan course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Nutrition : Build Your Diet Plan course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Nutrition : Build Your Diet Plan course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Nutrition : Build Your Diet Plan course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Introduction Welcome To The Course & What You Will Learn FREE 00:04:00 Get to Know Your Instructor 00:03:00 Meal Planning Basics Meal Planning Explained 00:04:00 Calories Explained 00:04:00 Micronutrients Introduction 00:01:00 Protein Explained 00:02:00 How much protein do you need to consume per day 00:04:00 Fats explained 00:03:00 How Much Fat Should You Eat Per Day 00:04:00 Carbohydrate Explained 00:03:00 Macronutrients Explained 00:01:00 The Different Types of carbs 00:05:00 How Much Carbs should you eat per day 00:03:00 Meal Timing Intro 2 copy 00:01:00 Protein Timing 00:04:00 Carbohydrate Timing 00:02:00 Fat Timing 00:01:00 Pre-Workout Meal 00:04:00 Post Workout Meal 00:02:00 What About the Anabolic Window 00:01:00 Food Composition Introduction 2 copy 00:02:00 Protein Composition 00:02:00 Carbohydrate Composition 00:03:00 Fat Composition 00:01:00 Supplements Top 3 Beginner Supplements 00:04:00 How to Use Protein Powder When, How Much & With What 00:06:00 How to Use Creatine When,How Much & With What 00:04:00 Other Supplements to consider 00:05:00 Setting Up Your Diet How To Determin Your Optimal Calorie Intake 2 00:03:00 How to Track Calories 00:05:00 Determining Protein Intake 00:01:00 Determining Fat Intake 00:01:00 What About the Ramaining Calories 00:02:00 Determining Meal Structure 00:03:00 Quality Protein Sources 00:01:00 Quality Carbs Sources 00:01:00 Quality Sources Of Fat 00:01:00 Adjusting Your Diet For Weigh Loss & Muscle Gains Adjusting You Diet For Weight Gain 00:04:00 Adjusting Your Diet For Weight Loss 00:05:00 Cheat Days and Cheat Meals 00:05:00 Post Workout Shake 00:02:00 Healthy Dieting Healthy Dieting Intro copy 00:01:00 Dieting myth #1 Carbs are bad for you 00:02:00 Dieting Myth #2 Fat is bad for you 00:02:00 Dieting Myth #3 Protein is bad for you 00:04:00 Dieting Myth #5 Avoid Salt At All Cost 00:01:00 Dieting Myth #6 Eat several small meals throughout the day to lose weight 00:01:00 Dieting Myth #7 Diet Foods Will Lead To Weight Loss 00:01:00 Red Meat Always Causes Cancer 00:03:00 Common Dieting Trends Explained Common Diets Intro Copy 00:01:00 Gluten Free Diet Explained 00:03:00 Paleo Diet Explained 00:04:00 Low Carb Diet Explained 00:03:00 Intermittend Fasting Explained 00:03:00 Vegan Diet Explained 00:05:00 Micronutrients Micronutrients Introduction 00:01:00 Vitamin A 00:02:00 Vitamin B 00:01:00 Vitamin C 00:01:00 Vitamin D 00:02:00 Vitmain E 00:01:00 Vitamin K 00:01:00 Calcium 00:02:00 Magnesium 00:01:00 Phosphorus 00:01:00 Potassium 00:01:00 Sodium 00:01:00 Copper 00:01:00 Iron 00:01:00 Zinc 00:02:00 Water 00:04:00 More Dieting Tips & Strategies Intro Specific dieting tips and strategies 00:01:00 5 Best Supplements to Boost Your Immune System 00:04:00 How to Read a Nutrition Label 00:03:00 How to Do You Own Research 00:04:00

Overview This Healthy Nutrition Masterclass course will unlock your full potential and will show you how to excel in a career in Healthy Nutrition Masterclass. So upskill now and reach your full potential. Everything you need to get started in Healthy Nutrition Masterclass is available in this course. Learning and progressing are the hallmarks of personal development. This Healthy Nutrition Masterclass will quickly teach you the must-have skills needed to start in the relevant industry. In This Healthy Nutrition Masterclass Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Healthy Nutrition Masterclass skills to help you advance your career. Acquire a comprehensive understanding of various Healthy Nutrition Masterclass topics and tips from industry experts. Learn in-demand Healthy Nutrition Masterclass skills that are in high demand among UK employers, which will help you to kickstart your career. This Healthy Nutrition Masterclass course covers everything you must know to stand against the tough competition in the Healthy Nutrition Masterclass field.  The future is truly yours to seize with this Healthy Nutrition Masterclass. Enrol today and complete the course to achieve a Healthy Nutrition Masterclass certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Healthy Nutrition Masterclass course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Healthy Nutrition Masterclass course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Healthy Nutrition Masterclass course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Healthy Nutrition Masterclass is suitable for anyone aspiring to start a career in Healthy Nutrition Masterclass; even if you are new to this and have no prior knowledge on Healthy Nutrition Masterclass, this course is going to be very easy for you to understand.  And if you are already working in the Healthy Nutrition Masterclass field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Healthy Nutrition Masterclass course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Healthy Nutrition Masterclass course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Healthy Nutrition Masterclass course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Healthy Nutrition Masterclass course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Introduction Course Promo 00:02:00 Introduciton & What you will learn in the course 00:04:00 who this course is for 00:02:00 what is nutrition 00:01:00 The principles of healthy dieting 00:04:00 the true dieting pyramid 00:04:00 Calorie Balance Calories Explained 00:04:00 bodyweight and health 00:05:00 Calories & bodyweight in a healthy diet 00:02:00 the twinkie diet 00:02:00 weight loss and health 00:03:00 How many calories do you need daily 00:02:00 How To Determin Your Optimal Calorie Intake 00:03:00 healthy weight ranges 00:02:00 How to lose weight if you are close to the optimal range 00:03:00 How to lose weight when you start from a higher weight 00:02:00 Diet breaks 00:05:00 How to track calories 00:05:00 How to lose weight without tracking calories 00:04:00 Food Composition food composition intro 00:03:00 Protein Composition copy 00:02:00 Carbohydrate Composition copy 00:03:00 Fat Composition copy 00:01:00 Overview food composition 00:03:00 Macronutrients Macros intro 00:01:00 Protein Explained 00:02:00 protein needs for overall health 00:02:00 How Much Carbs should you eat per day copy 00:01:00 How Much Fat Should You Eat Per Day copy 00:04:00 Overview Macronutrients 00:03:00 Nutrient Timing Nutrient Timing Intro 00:02:00 Nutrient Timing Facts 00:04:00 Nutrient Timing Recommendations 00:02:00 Supplements Supplements intro 00:04:00 Why Mulitvitamins arent a good idea 00:02:00 supplements for vegans and vegetarians 00:02:00 supplements for joint health 00:02:00 supplements for improved sleep 00:02:00 supplements for better memory and focus 00:02:00 Supplements Overview 00:01:00 How to naturally increase testosterone 00:07:00 Healthy Eating Fundamentals basics of healthy dieting 00:02:00 making changs towards a healthier diet 00:04:00 How to read a nutrition label copy 00:03:00 Health Myths, Diet Fads & More diet myths into 00:01:00 Dieting myth #1 Carbs are bad for you copy 00:02:00 Dieting Myth #2 Fat is bad for you copy 00:02:00 Dieting Myth #3 Protein is bad for you copy 00:04:00 Dieting Myth #4 Eating Eggs Raises Cllesterol copy 00:01:00 Dieting Myth #5 Avoid Salt At All Cost copy 00:01:00 Dieting Myth #6 Eat several small meals throughout the day to lose weight copy 00:01:00 Dieting Myth #7 Diet Foods Will Lead To Weight Loss copy 00:01:00 Red meat always causes cancer copy 00:03:00 Common Diet Trends Explained Common Diets Intro 2 copy 00:01:00 Gluten Free Diet Explained copy 00:03:00 Paleo Diet Explained copy 00:04:00 Low Carb Diet Explained copy 00:03:00 Intermittend Fasting Explained copy 00:03:00 Vegan Diet Explained copy 00:05:00 Micronutrients (Vitamins & Minerals) Micronutrients Introduction 2 copy 00:01:00 Vitamin A copy 00:02:00 Vitamin B copy 00:01:00 Vitamin C copy 00:01:00 Vitamin D copy 00:02:00 Vitmain E copy 00:01:00 Vitamin K copy 00:01:00 Calcium copy 00:02:00 Magnesium copy 00:01:00 Phosphorus copy 00:01:00 Potassium copy 00:01:00 Sodium copy 00:01:00 Copper copy 00:01:00 Iron copy 00:01:00 Zinc copy** 00:02:00 water copy 00:04:00