2694 Code courses delivered Online

Overview This comprehensive course on Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Machine Learning with Python comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 4 sections • 21 lectures • 01:34:00 total length •Introduction to types of ML algorithm: 00:02:00 •SVM - Python Implementation: 00:06:00 •Introduction to types of ML algorithm: 00:02:00 •Importing a dataset in python: 00:02:00 •Resolving Missing Values: 00:06:00 •Managing Category Variables: 00:04:00 •Training and Testing Datasets: 00:07:00 •Normalizing Variables: 00:02:00 •Normalizing Variables - Python Code: 00:03:00 •Summary: 00:01:00 •Simple Linear Regression - How it works?: 00:04:00 •Simple Linear Regreesion - Python Implementation: 00:07:00 •Multiple Linear Regression - How it works?: 00:01:00 •Multiple Linear Regression - Python Implementation: 00:09:00 •Decision Trees - How it works?: 00:05:00 •Random Forest - How it works?: 00:03:00 •Decision Trees and Random Forest - Python Implementation: 00:04:00 •kNN - How it works?: 00:02:00 •kNN - Python Implementation: 00:10:00 •Decision Tree Classifier and Random Forest Classifier in Python: 00:10:00 •SVM - How it works?: 00:04:00

Build a strong foundation in intermediate Android development to leverage what you already know about Android. If you are looking for a course that takes your pre-existing Android knowledge to the next level, then this is definitely the course for you. We'll take you through all you need to know in order to become an intermediate to advanced Android developer.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for administrators in a Microsoft-centric environment who want to build reusable units of automation, automate business processes, and enable less-technical colleagues to accomplish administrative tasks. Overview Describe the correct patterns for building modularized tools in Windows PowerShell Build highly modularized functions that comply with native PowerShell patterns Build controller scripts that expose user interfaces and automate business processes Manage data in a variety of formats Write automated tests for tools Debug tools This course covers advanced Windows PowerShell topics, with an emphasis on building reusable tools. Students are introduced to workflow, engage in best practices, and learn a variety of script development and toolmaking techniques. Tool Design Tools do one thing Tools are flexible Tools look native Start with a Command Why start with a command? Discovery and experimentation Build a Basic Function and Module Start with a basic function Create a script module Check prerequisites Run the new command Adding CmdletBinding and Parameterizing About CmdletBinding and common parameters Accepting pipeline input Mandatory-ness Parameter validation Parmeter aliases Emitting Objects as Output Assembling information Constructing and emitting output Quick tests An Interlude: Changing Your Approach Examining a script Critiquing a script Revising the script Using Verbose, Warning, and Informational Output Knowing the six channels Adding verbose and warning output Doing more with verbose output Informational output Comment-Based Help Where to put your help Getting started Going further with comment-based help Broken help Handling Errors Understanding errors and exceptions Bad handling Two reasons for exception handling Handling exceptions in our tool Capturing the actual exception Handling exceptions for non-commands Going further with exception handling Deprecated exception handling Basic Debugging Two kinds of bugs The ultimate goal of debugging Developing assumptions Write-Debug Set-PSBreakpoint The PowerShell ISE Going Deeper with Parameters Parameter positions Validation Multiple parameter sets Value from remaining arguments Help messages Aliases More CmdletBinding Writing Full Help External help Using PlatyPs Supporting online help ?About? topics Making your help updatable Unit Testing Your Code Sketching out the test Making something to test Expanding the test Going further with Pester Extending Output Types Understanding types The Extensible Type System Extending an object Using Update-TypeData Analyzing Your Script Performing a basic analysis Analyzing the analysis Publishing Your Tools Begin with a manifest Publishing to PowerShell Gallery Publishing to private repositories Basic Controllers: Automation Scripts and Menus Building a menu Using UIChoice Writing a process controller Proxy Functions A proxy example Creating the proxy base Modifying the proxy Adding or removing parameters Working with XML Data Simple: CliXML Importing native XML ConvertTo-XML Creating native XML from scratch Working with JSON Data Converting to JSON Converting from JSON Working with SQL Server Data SQL Server terminology and facts Connecting to the server and database Writing a query Running a query Invoke-SqlCmd Thinking about tool design patterns Design tools that use SQL Server for data storage Final Exam Lab problem Break down the problem Do the design Test the commands Code the tool

In this course, we'll learn how to visualize data with real weather data downloaded from the US National Weather Service using the R programming language and RStudio. We recommend that you have some background in HTML, CSS, and JavaScript. You don't need to be an expert by any means, but you should have experience building web pages with HTML and CSS, and you should have basic programming skills with JavaScript.

Learn and master HTML, CSS, Bootstrap, and SASS. Starts right from the basics and increases its level step by step by understanding various concepts, implementing them with different exercises, practicing with games, and building 6 real-world projects.

This course will help you master CSS animations, transitions, and transforms. This course will not only equip you with the theoretical know-how but also help you master CSS through 80+ hands-on projects.

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

The sports massage course of Lead Academy is developed for the individual wanting to acquire sports massage skills. Additionally, this course will provide an accredited certificate to help you pursue a career in the massage industry. This Course at a Glance In The sports massage course, learners will learn the following: Get Acquainted with the Sports Massage. Learn Professionalism and Ethics of Sports Massage. Understand the Anatomy of Sports Massage. Understand physiology for sports Massage. Obtain CPD UK accredited certificate. Engaging in video-based training sessions. Continuous tutor support is available 24/7. Sports Massage Course - Sports Massage Training Certification Overview  The sports massage course is designed to train learners to become successful sports massage therapists. It will teach you the Professionalism and Ethics of Sports massage, the anatomy and physiology of sports massage, the Assessment of Sports Injuries, and more.  Overall, this course will deliver essential facts and significant insights regarding sports massage. Additionally, this sports massage course is accredited by CPD UK, valued by employers, professional organizations, and academic institutions. Your training provider can advise you on any further recognition, for example, progression routes into further and higher education. For details, please visit the Learner FAQs on our website. Who should take this course? The Sports Massage Course - Sports massage training certification is suitable for the following:  Any individual who wishes to pursue a career as a sports massage therapist. The individual who has skills in massage therapy and wants to learn more, like sports massage. People who want to increase personal knowledge. Any individual wanting to take care of athletics. Entry Requirements The Sports Massage Course - Sports massage training certification entry requirements are the following:  You need a laptop or PC and a stable internet. Any previous qualifications are not required. You should find a quiet place during the class. Assessment On the assessment round, you will participate in the MSQ test to examine your learning from this course. After completing the gardening course's all modules, learners must answer MCQs to complete the assessment procedure.  The MCQ test measures how much a learner can grasp from each section. In the assessment test, you must get 60% as a pass mark. Course Curriculum Introduction to Sports massage ● What is a Sports Massage? ● What is a Sports Massage? ● Benefits of Sports Massage Professionalism and Ethics of Sports massage ● SMA Code of Practice, Ethics and Proficiency ● Purpose of The Code ● Professional Conduct ● The Practice Environment Conducts ● A Member of The SMA May Not ● Maintaining Client Records ● Safekeeping of Client Records ● Refusing to Continue Client Care ● Safeguarding the Welfare of Children Anatomy and Physiology for Sports Massage ● Musculoskeletal System ● Muscle Anatomy ● Connective Tissues ● Circulatory System ● Nervous System ● Lymphatic System ● Joint Structure and Function Assessment of Sports Injuries ● Overview of Sports Injuries ● Who Gets Sports Injuries? ● Types ● Types of Musculoskeletal Injuries ● Common Sports Injuries ● Symptoms of Sports Injuries ● Major Sports Injure First Aid Treatment Sports Nutrition ● What Is Sports Nutrition? ● Sports Nutrition Basics ● The Goal of Sports Nutrition ● Eating for Exercise/Athletic Performance ● Eating for Endurance ● Eating for Strength ● Eating for Competition ● Hydration and Sports Performance ● Supplements in Sports Nutrition Rehabilitation Exercise ● What is Sport Rehabilitation? ● The Importance of Sports Rehabilitation ● The Main Objectives of The Sports Rehabilitation Process ● Types of Sports Rehabilitation Exercises ● The Goal of Sports Rehabilitation Sports Massage Treatments ● What techniques are used in a sports massage? ● Four Types of Sports Massages ● How does sports massage help ● What Makes Sports Massage So Special? Hydrotherapy & Electrotherapy ● Hydrotherapy ● History of Hydrotheraphy ● How Does Hydrotherapy Work? ● How Can Hydrotherapy Help? ● What is Electrotherapy? ● What Does Electrotherapy Involve? ● Which Conditions or Injuries Will Benefit from Electrotherapy? Sports Massage for Children and Elders ● What is Massage for Children? ● When Can Massage Help Children? ● What is Massage for The Elderly? ● When Can Massage Help the Elderly? ● What Are the Benefits of a Massage for The Elderly? Sports Massage During Pregnancy ● Pregnancy and Sports Massage ● Can You Have A Sports Massage When Pregnant? ● When Can Massage Help During Pregnancy? ● Benefits of Pregnancy Massage Recognised Accreditation CPD Certification Service CPD stands for Continuing Professional Development. This term refers to learning activities that professionals undertake to improve their skills and capabilities. Employers and professional organizations globally recognize CPD UK. Thus, a certificate from CPD Certification Service creates value for your professional goal and achievement. Certificate of Achievement Certificate of Achievement from Lead Academy After successfully passing the MCQ exam, you can order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. The certificate can be obtained in PDF version for £12, and there is an additional fee to receive a printed copy certificate which is £35. FAQs Is Sports Massage Only for Athletes? No, the sports massage is not just for the athlete's community. It also benefits people with a more sedentary lifestyle. What is the difference between Deep Tissue massage and Sports Massage? Sports massage therapy helps to heal specific tissue that injures and needs to improve movement. On the other hand, deep tissue massage is a general massage that helps relieve stress. What is the career path of this profession? You can be a massage therapist for athletes or work at any therapy institution. How much do sports massage therapists Earn in the UK? In the United States, sports massage therapists earn $28.94 an hour. Do I need a license to perform Sports Massage therapy in the UK? Yes, if you plan to be an athletic therapist, you must own a license and a certificate. How will I purchase this course? First, select your desired course plan among the multiple existing course plans on the right side of your screen, then select the payment type, and once you made the payment, you can access the course any time you want. How will I get access to the Sports Massage course after the payment? A confirmation email will be sent to your registered email after payment. Hereafter anytime, you can start your learning journey with Lead Academy. What is an Accredited course? The professional body approves the procedures if any e-learning platform claims its courses are accredited. What is the benefit of doing an accredited course? You will only realize the benefit of having a CPD-accredited certificate once you face the corporate world. As employees, job places, and more value the CPD-accredited certificate, you must own this certificate by doing the course with us. What do you mean by a CPD course? CPD refers to Continuing Professional Development, and the CPD-accredited course is developed for individuals who want to improve and update their skills within their professional field continuously. This certificate claims that the certificate holder's knowledge is up-to-date in their work area.

In this course, you will learn how to write great automation tests with Selenium WebDriver and Java, and start building automation testing frameworks!

Kano Analysis is a unique tool that has a structured approach to understand the customer requirements, translate those needs/requirements into specific categories, and prioritize them. This tool is extensively used by Six Sigma Green Belts and Black Belts in their Lean Six Sigma projects. Kano Analysis is most effective in the Define Phase of any Six Sigma Green Belt or a Six Sigma Black Belt project.