56 Cleaning courses in York delivered Live Online

Infection prevention and control is essential for all businesses, particularly where the working environment or work activities could put employees and those around them at risk of infection. This includes those working in healthcare, in close contact with people or animals, and those involved in the cleaning of human and animal waste. Infections can be easily spread, but by understanding the correct steps to take, the risk of their occurrence can be both prevented and controlled.

We are excited to announce the Online version of the Step by Step Course. It will include live demonstrations of the process that you will then follow. Unique opportunity to be guided step by step and experience meditative practice of icon painting.

This course will provide all staff with an awareness of food hygiene. It also covers the recommended yearly refresher in Food Hygiene.

This is a full day session that will aim to provide a more in-depth understanding of Food Hygiene. It meets UK and EU legal requirements for food handlers & matches RSPH and CIEH level 2 syllabus

Duration 1 Days 6 CPD hours Apple?s Keynote is the equivalent of Microsoft?s PowerPoint. With it?s powerful set of tools and effects, Keynote makes it easy to create stunning presentations. In this one-day class you will learn how to design and customize slides, add media and music, animate text and images, record voice over narration and the best tips and tricks for presenting the final presentation. Course covers working with a Mac, iPhone and/or iPad and demonstrates how to collaborate in real time with other users Creating a Presentation Opening Keynote Choosing a Theme and Slide Size Selecting a Master Slide Outlining a Presentation Using the Inspector Working with the Format Bar Pasting Text into an Outline Formatting Text Customizing a Slide Layout Copying Styles Between Slides Fixing Spelling Errors Working in Outline View Reordering Slides Creating Object Effects Dragging Files to Create New Slides Using the Light Table Creating a Custom Theme Creating an Empty Theme Creating Backgrounds and Formatting Text Creating a Title Slide Creating a Master Slide Saving and Sharing Themes Applying a Custom Theme Dragging Files to Create New Slides Using the Light Table Working with Tables and Charts Tables and Charts Working with Tables and Charts Chart and Table options Understanding Axis and Series 2D and 3D Charts Animating Tables and Charts Adding content from Microsoft Office or PDF Files Adding Media to Your Presentation Adding Photos and Graphics Enhancing Photos in Keynote Customizing Photo or Graphic Layouts Making Part of a Photo or Graphic Transparent Masking Photos and Shapes Instant Alpha Adding Hyperlinks and Navigation Adding a Chart or Table Adding Audio or Soundtrack Adding a Global Transition Adding Video and Animation Creating Builds to Reveal Text Creating a Sequence Build to Reveal a Table Creating a Smart Build Creating Custom Animation Animating Charts Animating Your Presentation Previewing the Presentation 2D and 3D Transitions Between Slides Creating Object Effects Running and Pausing your Presentation Animating a Title Slide Adding HyperLinks to your Presentation Using Magic Move Recording a Narrated, Self Playing Presentation Rehearsing and Delivering Your Presentation Reviewing your Presentation Adding Comments to your Presentation Adding and Printing Presenter Notes Rehearsing your Presentation Creating a Self-running Slideshow Troubleshooting your Presentation Indexing with Spotlight Importing from PowerPoint Animating a Title Slide Cleaning Up a Presentation Enhancing a Presentation Using an iOS Device as a Remote Control - Sharing Your Presentation Printing handouts Export for Email Exporting to PDFs Exporting to PowerPoint Exporting to Quicktime Sending to YouTube or the web Exporting Export For Email, PDFs Uploading to iCloud or Moving between Computer and iCloud Exporting to PowerPoint Exporting to QuickTime Sending to YouTube Troubleshooting & Cleaning Up Your PresentationTips and Tricks Working with Keynote on an iOS mobile device Additional course details: Nexus Humans Apple Keynote 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 Apple Keynote 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 2 Days 12 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3) 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 Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3) 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.

AutoCAD-Mac Introduction to Advanced Training Course This project-based course is tailored for AutoCAD Mac users, architecture and interior design students and professionals. Click here for more info: Website When Can I Book This Training Course? Personalized experience with 1-on-1 sessions designed to fit your unique needs. Available from Monday to Saturday, 9 am to 7 am Or Call to Book 02077202581. Duration of Training: 16 hours. Training Method:  1-on-1, providing the option for in-person sessions or live online training. Course Content Section 1: Introduction Course Overview Section 2: Basic Concepts Status Bar and The Units Drawing Commands Control Points - Vertex or Verteces Modifying Commands Snap Settings Drawing An Outline Section 3: Dimensions and Customization Adding Dimensions and Dimension Style Manager Importing Dimension Styles Customizing Shortcuts Section 4: Advanced Techniques Adding Walls Thickness with Offset Command Adding interior layout Cleaning Layout lines with Trim Section 5: Text and Styling Text Editing and Importing Text Styles Main File Formats in AutoCAD Section 6: Design Elements Creating Openings in the Floor Plan Adding Openings - Part 2 Adding Openings - Part 3 Drawing Doors & Windows Using Line Types & Linetype Scale Group and Ungroup Commands Using Blocks Using Blocks Library & Dynamic Blocks Section 7: Layers and Furnishing Layers - Part 2 Layers - Part 3 Furnishing Bedrooms & Bathrooms - Part 1 Adding Furniture, Fixtures, and Equipments | part 2 Adding Furniture, Fixtures, and Equipments | part 3 Drawing the Kitchen Drawing the Living Room Drawing Dining Room & Adding Casework Adding Steps and Railings Using Stretch Command Finishing Steps and patio areas Hatch command Hatch Customization Adding Plants & Finishing Floor Plan Section 8: Layout and Printing Paper Space & Page Setup Manager Working with Viewport & Using Print Command Scale & Using Multiple Viewports Locking Viewport Scale Drawing A Titleblock - Part 1 Drawing A Titleblock - Part 2 Copying the Titleblock Using Titleblock with Attributes Section 9: Roof Plan and Organization Drawing The Roof Plan Placing Roof Plan on Sheet Organizing Project Drawings & Using Layer Freeze AutoCAD Crashing And What To Do Section 10: Elevations Exterior elevations - Drawing the Outline Exterior elevations - Drawing the Openings Elevations - Detailing - Part 1 Elevations - Detailing - Part 2 Elevations - Repeating the workflow Elevations - Finishing 3rd Elevation Elevations - Drawing the final elevation Section 11: Sections Sections: Drawing Cut Lines & the Outline Sections: Placing 1st Section on Sheet Sections: Drawing Section #2 - Different Technique Sections: Adding Final Detail Section 12: Interior Elevations Interior Elevations: Drawing the Outline Interior Elevations: Placing on Sheet Interior Elevations: Using Block Clip Interior Elevations: Final Drawing Section 13: Conclusion Putting the Final Set Together Proficient AutoCAD Skills: Master essential tools for efficient drawing creation and manipulation. Accurate 2D Designs: Create precise and high-quality layouts with attention to detail. Effective Object Handling: Excel in selecting, moving, copying, and scaling objects. File Management: Organize drawings efficiently and understand different file formats. Precise Measurements: Utilize inquiry commands for accurate design analysis. Annotations and Hatching: Apply text, dimensions, and hatching to enhance drawings. Object Organization: Manage layers and object properties for organized designs. Reusable Content: Efficiently use blocks, tool palettes, and groups for productivity. Layout Optimization: Create layouts with viewports for optimal design presentation. Professional Output: Generate professional plots and PDF output for polished results. Enhanced Productivity: Explore AutoCAD toolsets and web/mobile apps for streamlined workflow. Course Overview: Learn versatile AutoCAD for Mac drawing techniques, applicable across all industries, enabling you to excel in the application. Our trainers incorporate exercises from various disciplines. Who Should Attend: Ideal for newcomers to AutoCAD for Mac, self-taught users seeking correct techniques, and those transitioning from other CAD tools. Requirements: A solid Mac OS understanding is essential, while prior CAD knowledge is not required. Pre-course preparation guidance is provided for new AutoCAD users. Highlights: Perfect for AutoCAD for Mac beginners. Gain skills for precise 2D layouts and designs. Versatile drawing techniques for all industries. Choose between in-class or live online training. Autodesk Certified Tutors: AutoCAD 1-2-1 courses. Hands-on learning with expert trainers. Lifetime post-course email support. Tailored on-request training available. Certificate: Digital certificate included. Tailored Mac Training: Excel in AutoCAD with specialized Mac training, leveraging its distinct features and interface for heightened efficiency. Comprehensive Skill Enhancement: Advance from fundamental to intermediate AutoCAD Mac proficiency, creating precise and professional 2D drawings. Industry-Relevant Expertise: Attain in-demand skills valued by employers in architecture, engineering, and design sectors. Hands-On Project Exposure: Immerse yourself in practical exercises mirroring real-world design scenarios, fostering practical competence. Lesson Recordings for Review: Access recorded lessons for reinforcement and deeper AutoCAD Mac comprehension. Ongoing Email Support: Benefit from lifetime email support, ensuring assistance beyond course completion."

Duration 3 Days 18 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. Use advanced analysis techniques. Enhance reports and dashboards. Publish and share reports and dashboards. Extend Power BI beyond the desktop. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Using Advanced Analysis Techniques Topic A: Create Calculated Tables, Variables, and Parameters Topic B: Enhance Visuals with Statistical Analysis Topic C: Perform Advanced Analysis Enhancing Reports and Dashboards Topic A: Enhance Reports Topic B: Enhance Dashboards Publishing and Sharing Reports and Dashboards Topic A: Publish Reports Topic B: Create and Manage Workspaces Topic C: Share Reports and Dashboards Extending Power BI Beyond the Desktop Topic A: Use Power BI Mobile Topic B: Extend Access with the Power BI API Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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 Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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 1 Days 6 CPD hours This course is intended for To gain the most from attending this course you should possess the following incoming skills: Basic knowledge of programming concepts and syntax in Python. Familiarity with common data formats such as CSV, JSON, and XML. Experience using command-line interfaces and basic text editing tools. Understanding of basic machine learning concepts and algorithms. Overview Working in an interactive learning environment, led by our engaging expert, you will: Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions. Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4. Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements. Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases. Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions. Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex. Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Introduction to Prompt Engineering Overview of prompt engineering and its importance in AI applications Major applications of prompt engineering in business Common challenges faced in prompt engineering Overview of GPT-4 and its role in prompt engineering Key terminology and concepts in prompt engineering Getting Things Ready: Text Preprocessing and Data Cleansing Importance of data preprocessing in prompt engineering Techniques for text cleaning and normalization Tokenization and n-grams Stop word removal and stemming Regular expressions and pattern matching GPT-4 Tokenization and Input Formatting GPT-4 tokenization and its role in prompt engineering Understanding and formatting GPT-4 inputs Context windows and token limits Controlling response length and quality Techniques for handling out-of-vocabulary tokens Prompt Design and Optimization Master the skills to design, optimize, and test prompts for various business tasks. Designing effective prompts for different tasks Techniques for prompt optimization GPT-4 system and user parameters for controlling behavior Importance of prompt testing and iteration Best practices for prompt engineering in business applications Advanced Techniques and Tools in Prompt Engineering Learn advanced techniques and tools for prompt engineering and their integration in business applications. Conditional text generation with GPT-4 Techniques for handling multi-turn conversations Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground Integration of GPT-4 with other software platforms and tools Monitoring and maintaining prompt performance Code Generation and Testing with Prompt Engineering Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects. Introduction to code generation with AI models like GPT-4 Designing prompts for code generation across programming languages Techniques for specifying requirements and constraints in prompts Generating and interpreting code snippets using AI-driven solutions Integrating generated code into existing projects and codebases Best practices for testing and validating AI-generated code Ethics and Responsible AI Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business. Ethical considerations in prompt engineering Bias in AI systems and its impact on prompt engineering Techniques to minimize bias and ensure fairness Best practices for responsible AI deployment in business applications Monitoring and addressing ethical concerns in prompt engineering

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.