2998 Design courses delivered Live Online

An in depth look at Pivot Tables and their powerful features to summarise and visualize your data. Course overview Duration: 1 day (6.5 hours) Our Excel – Pivot Table Specialist course is a comprehensive guide to working with Pivot Tables for those who need to learn more about the use of Pivot Tables to summarise and analyse information. This course is designed for existing experienced users of Excel. You should be a confident Excel user and be able to create and edit worksheets and write basic formulas. Objectives By the end of the course you will be able to: Build and customise Pivot Tables Group and sort information Filter information Use slicers and the timeline filter Add different summary calculations Create Pivot Charts Add calculated fields and items Content The anatomy of a Pivot Table Using a Pivot Cache Building a Pivot Table The Pivot Table interface Refreshing the Pivot Table Adding column, row, page and data fields Changing data orientation Showing data fields in columns or rows Drilling down to underlying data Setting Pivot Table options Format options Totals and filters options Display and printing options Data options Customising Pivot Tables Modifying field names Data formatting Changing field layout options Changing summary calculations Working with subtotals Filtering and sorting Filtering items Sorting data Value and label filters Creating top 10 reports Using the Search filter Using the Slicer tool Use the Timeline filter Grouping Grouping date fields Grouping numeric fields Adding your own groups Summary calculations Running totals Differences year on year, month on month % Differences year on year, month on month % of Row, Column, Total and other fields Pivot charts Pivot Chart rules Creating a Pivot Chart Working with your Pivot Chart Creating calculations Adding calculated fields Adding calculated items

Duration 1 Days 6 CPD hours This course is intended for This course is intended for networking and security professionals involved in the day-to-day management of a FortiAnalyzer appliance and FortiGate security information.. Overview Describe key features and concepts of FortiAnalyzer Deploy an appropriate architecture Manage ADOMs on both FortiAnalyzer and the devices that log to it Configure RAID Register supported devices Encrypt log transmission (SSL / IPSec) View & analyze current and historical logs (FortiView) Monitor events Apply disk quotas to log data from devices Backup, restore, and forward log data Use content archiving (summary and full) Understand the different stages of data processing, from receiving logs to compiling reports Understand SQL queries and datasets used by FortiAnalyzer reports Design datasets, charts, and custom reports Generate reports by schedule or on demand. In this 1-day class, you will learn how to use FortiAnalyzer. You will explore setup, registering supported devices and securing communications, managing logs and archives, and configuring both predefined and customized reports. Introduction to FortiAnalyzer Key features Key concepts Different FortiAnalyzer models Configuration & Administration Deployment requirements Configuration tools Configuring network settings Backing up system configuration Configuring administrative users Configuring, enabling, and assigning ADOMs Configuring RAID Device Registration Registered and unregistered devices Device registration methods Modifying options of a registered device Methods available to secure communication Configuring SSL encryption and encryption levels Configuring an IPsec tunnel Logs & Archives Logging basics The FortiView tab Configuring log arrays and event handlers Reports Reports and functionality Relationship between reports, charts, and datasets Effect of ADOMs on report settings SQL SELECT queries and clauses SQL functions and operators FortiAnalyzer-specific functions and macros Building or customizing charts Report features--creating, cloning, configuring

Duration 3 Days 18 CPD hours This course is intended for This intermediate course is for technical specialists, support/services individuals, individuals implementing LPARs for Power Systems with IBM i. This course is also appropriate for IBM Business Partners who sell and plan for consolidated systems. Overview Describe the PowerVM features Identify, describe, and locate hardware components in the Power Systems, Flex System and Power Blade models Identify virtualization options available, reliability features and single points of failure for Power Systems Implement System Planning Tool in design or update your own system Explain Simultaneous Multithreading (SMT) Describe memory allocation and affinity concepts Describe and configure a partition profile, including shared processors: Capped Uncapped Virtual processors Weighting factor Shared Processor Pools Explain virtual I/O: Serial, Ethernet and SCSI Understand and implement: IBM i installation through NFS, image virtual repository in VIOS, and assigning VSCSI disks to partitions in VIOS Understand base characteristics of IVM and how to implement IBM i on Power Blades Describe the NPIV PowerVM feature, how to configure virtual Fiber Channel adapters on the Virtual I/O Server and client partitions Discuss how to use the HMC GUI and commands to work with the World Wide Port Name (WWPN) pairs Identify commands used to examine the NPIV configuration In this course you begin with an overview of LPAR on Power Systems, followed with more detailed information on configuration planning and implementation using hands-on exercises to create and implement logical partitions. PowerVM for IBM i - Overview . Power Systems for IBM i . Introduction to System Planning Tool . Virtualization of IBM i - Processor, Memory, Processor Pools . Virtualization of IBM i - Virtual I/O . Virtualization of IBM i - Installation from NFS or VIOS repository . Implementation of IBM i on Power Blades . PowerVM for IBM i - NPIV .

About this Course This 5 full-day course provides a comprehensive understanding of all the commissioning procedures for combined cycle power plants. The Commissioning Management System (CMS) of combined cycle power plants is covered in detail in this course. This includes all the commissioning procedures and documents, purpose of commissioning, responsibilities, system description, organization, working parties, test teams, documentation, testing and commissioning schedules, test reports, safety, plant certification, and plant completion report. The course provides also a thorough understanding of all the commissioning requirements for gas turbines, steam turbines and auxiliaries, generator and auxiliaries, electrical equipment, switchgear equipment, switchgear and transformers. All the stages of the commissioning procedure are covered in-depth in this course. This includes preparation - planning various activities, pre-commissioning checks and tests, typical commissioning schedule, detailed tests and commissioning procedures and instructions for every component in a combined cycle power plant, instrumentation, trial run of the equipment, safety and precautions, commissioning of combined cycle power plant systems, safety rules clearance certificates, procedure for the control and handling of defects, commissioning reports, operational testing, first fire, generator synchronization, performance testing, heat rate testing, emission testing, contract testing, CO2 concentration tests, electrical full-load rejection test, duct burner testing, partial load stability test, and reliability test. This course is a MUST for anyone who is involved in the pre-commissioning or commissioning of any combined cycle power plant equipment because it provides detailed pre-commissioning checks and tests, and detailed tests and commissioning procedures and instructions for every component in a combined cycle power plant. In addition, the seminar provides an in-depth coverage of all preparation, planning activities, commissioning schedules, trial run of each combined cycle power plant equipment, safety and precautions, safety rules clearance certificates, procedures for handling defects, and commissioning reports. Training Objectives Pre-commissioning Checks and Tests, Detailed Tests and Commissioning Procedures and Instructions for Every Equipment in Combined Cycle Power Plants: Gain a thorough understanding of all pre-commissioning checks and tests, and all commissioning procedures and instructions for every equipment in combined cycle power plants Commissioning Management System (CMS) of Combined Cycle Power Plants: Discover the benefits of the CMS of combined cycle power plants including all commissioning procedures and documents, purpose of commissioning, responsibilities, system description, organization, working parties, test teams, documentation, testing and commissioning schedules, test reports, safety, plant certification, and plant completion report Commissioning Procedures and Instructions for Heat Recovery Steam Generators, Air Blow and Steam Blow of Steam and Gas Piping in Combined Cycle Power Plants: Learn about the commissioning procedures and instructions for heat recovery steam generators, chemical cleaning of heat recovery steam generators, air blow and gas blow of steam and gas piping in combined cycle power plants, safety valve setting and soot blowers Commissioning Procedures and Instructions for Gas Turbines and Steam Turbines: Gain a thorough understanding of all the commissioning procedures and instructions for gas and steam turbines and auxiliaries including acid cleaning of oil pipelines, lubrication and governing system (oil flushing and hydraulic testing), jacking oil system, governing system, regenerative system, barring gear, vacuum tightness test, first rolling of turbine and data logging Commissioning Procedures and Instructions for Generator and Auxiliaries: Discover all the commissioning procedures and instructions for generator and auxiliaries including generator, seal oil system, hydrogen gas system, stator water system, rolling and start-up of generators Commissioning Procedures and Instructions for Electrical Equipment: Learn about all the commissioning procedures and instructions for electrical equipment including switchyard equipment, switchgear, transformers and motors Operational Testing, Performance Testing, Heat Rate Testing, Emission Testing of Combine Cycle Power Plants: Gain a thorough understanding of operational testing, first fire, generator synchronization, performance testing, heat rate testing, emission testing, contract testing, CO2 concentration tests, electrical full-load rejection test, duct burner testing, partial load stability test, and reliability test of combined cycle power plants Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Training Methods The instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all the delegates gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught to their own organization. Trainer Your specialist course leader has more than 32 years of practical engineering experience with Ontario Power Generation (OPG), one of the largest electric utility in North America. He was previously involved in research on power generation equipment with Atomic Energy of Canada Limited at their Chalk River and Whiteshell Nuclear Research Laboratories. While working at OPG, he acted as a Training Manager, Engineering Supervisor, System Responsible Engineer and Design Engineer. During the period of time, he worked as a Field Engineer and Design Engineer, he was responsible for the operation, maintenance, diagnostics, and testing of gas turbines, steam turbines, generators, motors, transformers, inverters, valves, pumps, compressors, instrumentation and control systems. Further, his responsibilities included designing, engineering, diagnosing equipment problems and recommending solutions to repair deficiencies and improve system performance, supervising engineers, setting up preventive maintenance programs, writing Operating and Design Manuals, and commissioning new equipment. Later, he worked as the manager of a section dedicated to providing training for the staff at the power stations. The training provided by him covered in detail the various equipment and systems used in power stations. In addition, he has taught courses and seminars to more than four thousand working engineers and professionals around the world, specifically Europe and North America. He has been consistently ranked as 'Excellent' or 'Very Good' by the delegates who attended his seminars and lectures. He written 5 books for working engineers from which 3 have been published by McGraw-Hill, New York. Below is a list of the books authored by him; Power Generation Handbook: Gas Turbines, Steam Power Plants, Co-generation, and Combined Cycles, second edition, (800 pages), McGraw-Hill, New York, October 2011. Electrical Equipment Handbook (600 pages), McGraw-Hill, New York, March 2003. Power Plant Equipment Operation and Maintenance Guide (800 pages), McGraw-Hill, New York, January 2012. Industrial Instrumentation and Modern Control Systems (400 pages), Custom Publishing, University of Toronto, University of Toronto Custom Publishing (1999). Industrial Equipment (600 pages), Custom Publishing, University of Toronto, University of Toronto, University of Toronto Custom Publishing (1999). Furthermore, he has received the following awards: The first 'Excellence in Teaching' award offered by PowerEdge, Singapore, in December 2016 The first 'Excellence in Teaching' award offered by the Professional Development Center at University of Toronto (May, 1996). The 'Excellence in Teaching Award' in April 2007 offered by TUV Akademie (TUV Akademie is one of the largest Professional Development centre in world, it is based in Germany and the United Arab Emirates, and provides engineering training to engineers and managers across Europe and the Middle East). Awarded graduation 'With Distinction' from Dalhousie University when completed Bachelor of Engineering degree (1983). Lastly, he was awarded his Bachelor of Engineering Degree 'with distinction' from Dalhousie University, Halifax, Nova Scotia, Canada. He also received a Master of Applied Science in Engineering (M.A.Sc.) from the University of Ottawa, Canada. He is also a member of the Association of Professional Engineers in the province of Ontario, Canada. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

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BOHS P903 - Management and control of evaporative cooling and other high risk industrial systems is there to provide background and an overview of the risk of Legionella infection and how it can be controlled in Evaporative Cooling and other high risk Industrial type systems. It is a requirement of this course that candidates have successfully completed P901 - Legionella- Management and Control of Building Hot and Cold Water Services. Where both P901 and P903 courses are run on subsequent days or as a combined course then this prerequisite is waived.

Duration 3 Days 18 CPD hours This course is intended for Professionals who want unparalleled creative freedom, productivity, and precision for producing superb 3D modeling. Overview Navigate the AutoCAD user interfacesUse the fundamental features of AutoCADUse the precision drafting tools in AutoCAD to develop accurate technical drawingsPresent drawings in a detailed and visually impressive way In this course, you will learn to navigate the AutoCAD user interfaces and use the fundamental features of AutoCAD. You will learn to use the precision drafting tools in AutoCAD to develop accurate technical drawings. Getting Started with AutoCAD Starting the Software User Interface Working with Commands Cartesian Workspace Opening an Existing Drawing File Viewing Your Drawing Saving Your Work Basic Drawing & Editing Commands Drawing Lines Erasing Objects Drawing Lines with Polar Tracking Drawing Rectangles Drawing Circles Undo and Redo Actions Projects - Creating a Simple Drawing Create a Simple Drawing Create Simple Shapes Drawing Precision in AutoCAD Using Running Object Snaps Using Object Snap Overrides Polar Tracking at Angles Object Snap Tracking Drawing with Snap and Grid (Optional) Making Changes in Your Drawing Selecting Objects for Editing Moving Objects Copying Objects Rotating Objects Scaling Objects Mirroring Objects Editing with Grips Projects - Making Your Drawing More Precise Schematic Project: Electronics Diagram Architectural Project: Landscape Mechanical Project (with Polar & Tracking) Mechanical Project: Surge Protector Mechanical Project: Satellite Organizing Your Drawing with Layers Creating New Drawings With Templates What are Layers? Layer States Changing an Object's Layer Advanced Object Types Drawing Arcs Drawing Polylines Editing Polylines Drawing Polygons Drawing Ellipses Analzying Model and Object Properties Working with Object Properties Measuring Objects Projects - Drawing Organization & Information Architectural Project Mechanical Project Civil Project Advanced Editing Commands Trimming and Extending Objects Stretching Objects Creating Fillets and Chamfers Creating Arrays of Objects Inserting Blocks What are Blocks? Working with Dynamic Blocks Inserting Blocks Inserting Blocks using the Tool Palettes Inserting Blocks using the DesignCenter Inserting Blocks using the Content Explorer Projects - Creating More Complex Objects Mechanical Project 1 - Plate Mechanical Project 2 - Gasket Mechanical Project 3 - Plate Mechanical Project 4 - Rocker Arm Architectural Project 1 - Floor Plan Architectural Project 2 - Floor Plan Civil Project - Parking Lot Setting Up a Layout Printing Concepts Working in Layouts Creating Layouts Creating Layout Viewports Guidelines for Layouts Printing Your Drawing Printing Layouts Print and Plot Settings Projects - Preparing to Print Mechanical Project Architectural Project Text Working with Annotations Adding Text in a Drawing Modifying Multiline Text Formatting Multiline Text Adding Notes with Leaders to Your Drawing Creating Tables Modifying Tables Hatching Hatching Editing Hatches Adding Dimensions Dimensioning Concepts Adding Linear Dimensions Adding Radial and Angular Dimensions Editing Dimensions Projects - Annotating Your Drawing Mechanical Project Architectural Project 1 Architectural Project 2 Civil Project Additional course details: Nexus Humans AutoCAD Level 1 - Essentials training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AutoCAD Level 1 - Essentials course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Those who will provide container orchestration management in the AWS Cloud including: DevOps engineers Systems administrators Overview In this course, you will learn to: Review and examine containers, Kubernetes and Amazon EKS fundamentals and the impact of containers on workflows. Build an Amazon EKS cluster by selecting the correct compute resources to support worker nodes. Secure your environment with AWS Identity and Access Management (IAM) authentication by creating an Amazon EKS service role for your cluster Deploy an application on the cluster. Publish container images to ECR and secure access via IAM policy. Automate and deploy applications, examine automation tools and pipelines. Create a GitOps pipeline using WeaveFlux. Collect monitoring data through metrics, logs, tracing with AWS X-Ray and identify metrics for performance tuning. Review scenarios where bottlenecks require the best scaling approach using horizontal or vertical scaling. Assess the tradeoffs between efficiency, resiliency, and cost and impact for tuning one over the other. Describe and outline a holistic, iterative approach to optimizing your environment. Design for cost, efficiency, and resiliency. Configure the AWS networking services to support the cluster. Describe how EKS/Amazon Virtual Private Cloud (VPC) functions and simplifies inter-node communications. Describe the function of VPC Container Network Interface (CNI). Review the benefits of a service mesh. Upgrade your Kubernetes, Amazon EKS, and third party tools Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS. You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment. Module 0: Course Introduction Course preparation activities and agenda Module 1: Container Fundamentals Best practices for building applications Container fundamentals Components of a container Module 2: Kubernetes Fundamentals Container orchestration Kubernetes objects Kubernetes internals Preparing for Lab 1: Deploying Kubernetes Pods Module 3: Amazon EKS Fundamentals Introduction to Amazon EKS Amazon EKS control plane Amazon EKS data plane Fundamentals of Amazon EKS security Amazon EKS API Module 4: Building an Amazon EKS Cluster Configuring your environment Creating an Amazon EKS cluster Demo: Configuring and deploying clusters in the AWS Management Console Working with eksctl Preparing for Lab 2: Building an Amazon EKS Cluster Module 5: Deploying Applications to Your Amazon EKS Cluster Configuring Amazon Elastic Container Registry (Amazon ECR) Demo: Configuring Amazon ECR Deploying applications with Helm Demo: Deploying applications with Helm Continuous deployment in Amazon EKS GitOps and Amazon EKS Preparing for Lab 3: Deploying App Module 6: Configuring Observability in Amazon EKS Configuring observability in an Amazon EKS cluster Collecting metrics Using metrics for automatic scaling Managing logs Application tracing in Amazon EKS Gaining and applying insight from observability Preparing for Lab 4: Monitoring Amazon EKS Module 7: Balancing Efficiency, Resilience, and Cost Optimization in Amazon EKS The high level overview Designing for resilience Designing for cost optimization Designing for efficiency Module 8: Managing Networking in Amazon EKS Review: Networking in AWS Communicating in Amazon EKS Managing your IP space Deploying a service mesh Preparing for Lab 5: Exploring Amazon EKS Communication Module 9: Managing Authentication and Authorization in Amazon EKS Understanding the AWS shared responsibility model Authentication and authorization Managing IAM and RBAC Demo: Customizing RBAC roles Managing pod permissions using RBAC service accounts Module 10: Implementing Secure Workflows Securing cluster endpoint access Improving the security of your workflows Improving host and network security Managing secrets Preparing for Lab 6: Securing Amazon EKS Module 11: Managing Upgrades in Amazon EKS Planning for an upgrade Upgrading your Kubernetes version Amazon EKS platform versions Additional course details: Nexus Humans Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Machine Learning Essentials with Python (TTML5506-P) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Learn how to channel your inner activist, increase your resilience, communicate directly and be happy not to take no for an answer.