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This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

In this course, you will learn everything you need to know about working with Git and GitHub. By the end of this course, you will have the knowledge and confidence you need in order to apply for a job, work in a team, or work on open-source projects.

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 Introduction Introduction 00:02:00 PowerShell Basic Introduction PowerShell Introduction 00:05:00 PowerShell Console (PowerShell ISE, VS Code) 00:05:00 PowerShell Useful Commands (Get-Help) 00:04:00 PowerShell Useful Commands (Get-Command) 00:01:00 PowerShell Useful Commands (Get-Module) 00:03:00 Visual Studio Code Editor Initial Setup Visual Studio Code Setup 00:02:00 VS Code Interface & Install PowerShell Ext 00:03:00 Write & Test PowerShell Script 00:02:00 Connect To Azure Active Directory through Powershell Azure Active Directory Introduction 00:04:00 Prerequisite & Install AZURE AD PS Module 00:03:00 Connect to Azure AD PowerShell with Microsoft Office 365 Subscription 00:04:00 Install All Office 365 Service's Module (To Prepare All-in-one Scripts) 00:03:00 All-In-One PowerShell Script To Connect All M365 Services 00:09:00 Administration Of Microsoft Office 365 User Accounts View Microsoft Office 365 User Accounts 00:05:00 Create Single Microsoft Office 365 User Account 00:09:00 Create Multiple Microsoft Office 365 User Accounts 00:04:00 Modify Microsoft Office 365 User Account Properties 00:08:00 Delete Microsoft Office 365 User Accounts 00:03:00 Block Microsoft Office 365 User Accounts 00:02:00 Administration Of Microsoft Office 365 Licenses And Service View M365 Licenses Details 00:04:00 View M365 License's Services Details 00:03:00 Assign Licenses to Single User Account (Older AzureAD Module) 00:02:00 Assign Licenses to Multiple User Account 00:02:00

Advance your career in cloud computing with this carefully structured course on AWS CloudFormation. This course will equip you with all the necessary basic concepts such as writing CloudFormation templates, CloudFormation stacks, stack sets, nested stacks, puzzles, and much more.

Are you looking to master the Express framework and build your own web servers, but need a beginner-friendly, step-by-step approach with practical coding-along and solutions? This course is designed for those with a basic understanding of JavaScript and programming concepts and will provide you with the extra boost needed to confidently use the Express framework and succeed in interviews.

Enhance your career prospects in thermal power plant performance testing with EnergyEdge's course. Enroll now and gain valuable insights!

In this course, we take you step by step through the most common features and programming idioms of the Groovy programming language, enabling you to supercharge your developer productivity by harnessing the power of Groovy's lightweight and succinct programming syntax.

This course will help you to gain a mastery level understanding of the fundamentals of Android Studio, Android app development, and the Kotlin programming language by building six full-fledged applications as well as many more 'learning' applications throughout the course.

Psychology, the science of the mind, unveils how thought processes function, the reasons for our behaviours, and our learning methodologies. This GCSE Psychology course empowers you to comprehend yourself and others more effectively, providing a stellar kick-start for anyone intrigued by psychology at a higher level or simply keen on understanding how our minds function. 💡 GCSEs are esteemed qualifications across the UK, considered as the educational standard for school-leavers at 16. Discover different psychological schools and theories, explanations for diverse behaviours, and research techniques used in the discipline. Comprehensive course specifics can be found below.  This GCSE Psychology course, aligned with the most recent specifications, is designed to set you up for success. It provides a clear induction and structured assignments, aiding in the development of the necessary skills and knowledge for the exam. For UK students, a guaranteed exam centre access is included. GCSEs - qualifications that truly count. 🎖️ You will benefit from: A fresh, engaging course, aligned with the latest specification 📘 Fast track option for 2022 exams ⏭️ Access to our partnership exam centres, ensuring a guaranteed exam venue 🏢 Unlimited tutor support - we assist you in drafting a study plan and provide continuous support 🤝 Exam pass guarantee (we offer support until you clear the exam) 🎯 About the awarding body Awarding body: AQA Our course code: X808 Qualification code: 8182 AQA qualifications are globally recognised, highly esteemed by employers and universities, and a pathway for young people to advance to their future stages. AQA offers a range of qualifications including GCSEs, IGCSEs, and A-levels to cater to diverse abilities.  ⏱ Study Hours: Allocate between 120 to 150 hours for study, in addition to time for completing assignments. 👩‍🏫 Study Method: Our course is delivered via an online learning platform, engaging learners with dynamic resources. The materials can be printed if preferred. Learning resources span different media including videos, quizzes, and interactive activities. 🎥📝🧩 📆 Course Duration: Post-enrolment, up to two years are granted to study and sit your exams, with ongoing unlimited tutor support.  📋 Assessment: Enrol now for Summer 2022 exams. Completion of two GCSE standard written exams is required. A guaranteed exam space is provided in our exam centres across the UK. During your course, nine assignments and one introductory assignment are also to be completed. These provide a chance to submit work to your tutor for marking and feedback, helping gauge your progress. 👩‍🎓 Course Outcomes: Successful completion of this home learning course awards you a GCSE in Psychology, issued by AQA. The syllabus has been handpicked due to its suitability for distance learning. ℹ️ Additional Information: Difficulty - Level 2. There are no formal entry requirements; however, effective English reading and writing skills are recommended. Course Content: The course encompasses various fascinating modules including Memory, Perception, Development, Research Methods, Social Influence, Language, Thought & Communication, Brain and Neuropsychology, and Psychological Problems. 🧠🔬📚

Create your own 3D Graphics with OpenGL and C++