3924 Computing & IT courses in Haydock delivered On Demand

Overview With the ever-increasing demand for SQL in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in SQL may be. Learning about SQL or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in SQL . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on SQL is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this SQL course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this SQL course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this SQL course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of SQL , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in SQL , Anyone looking for a certificate of completion on doing an online training on this topic, Students of SQL , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This SQL course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.  Course Curriculum Module 1- Introduction to SQL Introduction to SQL 00:00 Module 2 - SQL Installation SQL Installation 00:00 Module 3 - Beginner SQL Beginner SQL 00:00 Module 4 - Queries Queries 00:00 Module 5 - Intermediate SQL Intermediate SQL 00:00 Module 6 - Advanced SQL Operators Advanced SQL Operators 00:00

Description: The 70-640 - Configuring Windows Server 2008 R2 Active Directory course provides the required information that you should know about 70-640: Configuring Windows Server 2008 R2 Active Directory. The course will teach you how to install the Active Directory role, or how to work with Active Directory objects. In the course, you will also learn about the GPOs (Group Policy Adjectives), what Group Policy objects are, restricted Group Policies. You will know analysing security settings, using the Security Configuration Wizard, deploying software with Group Policy, understanding Group Policy Scope, how Group Policy settings are processed, verifying Group Policy settings, and enabling Auditing. You will also be able to manage users and groups with the AD, working With Domain Controllers, adding DNS, securing the authentication process, monitoring and supporting AD, planning Active Directory deployment, IDA solutions, and Active Directory Certificate Services. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? 70-640 - Configuring Windows Server 2008 R2 Active Directory is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our 70-640 - Configuring Windows Server 2008 R2 Active Directory is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Installing the Active Directory Role What is IDA? FREE 00:16:00 How to Install the AD DS Role 00:11:00 Creating a Windows Server 2008 Forest 00:22:00 The New Windows 2008 Server Core 00:09:00 Installing AD DS Server Core 00:02:00 Domain Controller 00:20:00 Working With Active Directory Objects Working with the MMC 00:19:00 Custom MMC 00:14:00 Working with Objects in Active Directory 00:12:00 How to Search Through Active Directory 00:07:00 Using Active Directory 00:13:00 Securing and Delegating AD Objects 00:12:00 Delegation 00:05:00 Adding Computer Accounts to AD 00:08:00 Organizing AD with Container Objects 00:13:00 Joining the Demo 00:08:00 Working With Computer Objects and Accounts 00:17:00 Recycling the Computer Account 00:01:00 Automating Computer Account Creation 00:08:00 Automating Computer Creation 00:04:00 Understanding GPOs Using Group Policy 00:04:00 What Are Group Policy Objects 00:21:00 Group Policy 00:05:00 Restricted Group Policies 00:02:00 Restrcted Group 00:03:00 Analyzing Security Settings 00:12:00 Using The Security Configuration Wizard 00:05:00 SCW 00:08:00 Deploying Software with Group Policy 00:10:00 Software Deployment 00:02:00 Understanding Group Policy Scope 00:11:00 How Group Policy Settings are Processed 00:09:00 Group Policy Scope 00:11:00 Verifying Group Policy Settings 00:05:00 Verifying Group Policy 00:03:00 Enabling Auditing 00:13:00 Auditing 00:05:00 Managing Users and Groups with AD Automating User Account Creation 00:10:00 Automating User Accounts 00:07:00 Working with User Attributes 00:15:00 User Account Administrative Tasks 00:05:00 Supporting User Accounts 00:04:00 Using PowerShell to Create User Accounts 00:09:00 Creating Users with PowerShell 00:07:00 Creation and Management 00:08:00 The Basics of Groups 00:25:00 Managing Group 00:08:00 Best Practices for Using AD Groups 00:08:00 Automating Group Creation 00:05:00 Automating Creation of Groups 00:06:00 Advanced Group Options 00:09:00 Administering Groups 00:05:00 Working With Domain Controllers Installation Options 00:06:00 How to Install a Domain Controller 00:06:00 Introducing the Operations Masters 00:11:00 Designing Where to Deploy the Operation Masters 00:14:00 FSMO 00:03:00 SYSVOL Replication with DFS 00:02:00 Adding DNS DNS Basics 00:15:00 DNS Definitions and Terms 00:17:00 DNS 00:05:00 Setting up DNS for the Enterprise 00:09:00 Global Names 00:09:00 Securing the Authentication Process Password Security Policies 00:15:00 Passwords 00:03:00 Introducing the Read-Only Domain Controller 00:06:00 Installing the RODC 00:05:00 Auditing Authentication Events 00:03:00 Account Logging 00:03:00 Monitoring and Supporting AD Preparing for Recovery 00:10:00 Active Directory Tools 00:24:00 Monitoring Active Directory Performance 00:11:00 Performance Monitor 00:09:00 Planning Active Directory Deployment What Are Sites 00:27:00 Deciding on Site Boundaries 00:07:00 Sites and Subnets 00:08:00 Working with Global Catalog Placement with AD Partitions 00:09:00 Controlling Replication Between Sites 00:20:00 Managing the Global Catalog 00:04:00 Configuring AD Trust Relationships 00:32:00 Trusts 00:03:00 Choosing the Domain and Forest Functional Levels 00:07:00 IDA Solutions Understanding AD FS 00:10:00 Installing AD FS 00:01:00 Configuring and Using AD FS 00:03:00 Understanding AD RMS 00:10:00 Installing AD RMS 00:03:00 Configuring and Using AD RMS 00:07:00 Understanding AD LDS 00:08:00 Installing AD LDS 00:02:00 Installing AD LDS 00:05:00 Configuring and Using AD LDS 00:07:00 Security Review 00:04:00 Active Directory Certificate Services Understanding AD CS 00:29:00 Installing AD CS 00:02:00 Configuring and Using AD CS 00:08:00 Mock Exam Mock Exam- 70-640 - Configuring Windows Server 2008 R2 Active Directory 00:20:00 Final Exam Final Exam- 70-640 - Configuring Windows Server 2008 R2 Active Directory 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Boost Your Career By Enrolling In This PAT Testing & Basic Electricity Course Bundle To Overcome Your Challenges! 5 in 1 PAT Testing & Basic Electricity Course Bundle Improve your knowledge and enhance your skills to succeed with this PAT Testing & Basic Electricity Course bundle. This PAT Testing & Basic Electricity Course bundle is designed to build your competent skill set and enable the best possible outcome for your future. Our bundle is ideal for those who aim to be the best in their fields and are always looking to grow. This PAT Testing & Basic Electricity Course Bundle Contains 5 of Our Premium Courses for One Discounted Price: Course 01: Portable Appliance Testing (PAT) - CPD Accredited Course 02: Basic Electricity Course Course 03: Electricity & DC Circuit Analysis Course 04: Heating, Ventilation & Air Conditioning (HVAC) Technician Course 05: Smart Meter Installer Course All the courses under this PAT Testing & Basic Electricity Course bundle are split into a number of expertly created modules to provide you with an in-depth and comprehensive learning experience. Upon successful completion of the PAT Testing & Basic Electricity Course bundle, an instant e-certificate will be exhibited in your profile that you can order as proof of your new skills and knowledge. Stand out from the crowd and get trained for the job you want. With this comprehensive PAT Testing & Basic Electricity Course bundle, you can achieve your dreams and train for your ideal career. This PAT Testing & Basic Electricity Course bundle covers essential aspects in order to progress in your chosen career. Why Prefer Us for PAT Testing & Basic Electricity Course? All-in-one package of 5 premium courses' PAT Testing & Basic Electricity Course bundle Earn a certificate accredited by CPDQS. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Globally Accepted Standard Lesson Planning Free Assessments with this PAT Testing & Basic Electricity Course Bundle 24/7 Tutor Support available with this PAT Testing & Basic Electricity Course Bundle Start your learning journey straightaway! This PAT Testing & Basic Electricity Course's curriculum has been designed by PAT Testing & Basic Electricity Course experts with years of PAT Testing & Basic Electricity Course experience behind them. The PAT Testing & Basic Electricity Course course is extremely dynamic and well-paced to help you understand PAT Testing & Basic Electricity Course with ease. You'll discover how to master the PAT Testing & Basic Electricity Course skill while exploring relevant and essential topics. Assessment Process Once you have completed all the courses in the PAT Testing & Basic Electricity Course bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 50 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This PAT Testing & Basic Electricity Course bundle is suitable for everyone. Requirements You will not need any prior background or expertise. Career path This PAT Testing & Basic Electricity Course bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates Digital certificate Digital certificate - £10 Hard copy certificate Hard copy certificate - £29 You can order your hard copy certificates at the cost of £29 (for each course).

This course primarily focuses on explaining the concepts of the Document Object Model through a project-based approach. It will help you enhance your coding skills using JavaScript along with a deeper understanding of the DOM fundamentals.

This course will help you to prepare for the Cisco Certified Network Associate (CCNA) certification exam. The course covers all the major topics of computer networking and network devices, such as Internet Protocol (IP) addressing, routing, switching, Transmission Control Protocol/Internet Protocol (TCP/IP), Network Address Translation (NAT), Dynamic Host Configuration Protocol (DHCP), and Domain Name System (DNS).

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Have you ever experienced a delayed flight or a late item delivery? There may be a rational explanation, but poor transportation management might also be blamed. We provide an excellent option for you if you want to get into this sector and make a significant difference in an inefficient system. The Transport Management course, devised by industry professionals, will assist you in developing a skill or expanding your knowledge. Our Transport Management course is designed to assist you in achieving success at every stage of your logistics career. We are here to assist you to reach your professional goals, from the foundations of project management and transport management to sophisticated strategic planning of logistics and supply chain management for ports and airlines. Our Logistics courses are part of a bigger portfolio of Transport Management courses that cover every aspect of the organisation. Don't waste time learning what you already know-unlike many other courses, we have tailored this course to your learning style, career goals, and current workload, ensuring you get the most out of your studies. Enrol in this Transportation Management course and study everything on your own time. Learning Outcomes Upon successful completion of this Transport Management course, you will be able to, Get introduced to transport management. Explore transport management systems. Improve your transport management strategy. Recognise the importance of transport management for rail and airlines. Discover the trends, challenges, and best practices in transport management. Determine the health and safety issues regarding transport management. Why Prefer Us? Opportunity to earn a certificate accredited by CPDQS. Get a free student ID card!(£10 postal charge will be applicable for international delivery) Innovative and Engaging Content. Free Assessments 24/7 Tutor Support. Take a step toward a brighter future! *** Course Curriculum *** Module 01: Introduction Module 02: Transport Management Systems (TMS) Module 03: Transportation Management Strategy Module 04: Road Freight Transport Laws and Permits Module 05: Rail and Transport Management Module 06: Transport Management for Ports and Inland Waters Module 07: Transport Management for Airlines Module 08: Trends, Challenges and Best Practice Module 09: Transport Management and Health and Safety Assessment Process Your skills and knowledge will be tested with an automated multiple-choice assessment or with an optional assignment. You will then receive instant results to let you know if you have successfully passed the Transport Management course. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path This Transport Management course is comprehensively designed and will be beneficial for the following careers. Transport Supervisor Transport Manager Transport Co-ordinator In the UK, the average salary of these professions ranges from £40k to £70k per year.

This is a beginner-friendly video course that teaches you how to build a 2D game from scratch using Unity and C#. You will learn how to implement 2D lighting, use particle systems, program a player controller, and more. No prior experience is necessary!

Overview This comprehensive course on R Programming for Data Science will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This R Programming for Data Science comes with accredited certification from CPD, 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 R Programming for Data Science. It is available to all students, of all academic backgrounds. Requirements Our R Programming for Data Science 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 23 sections • 129 lectures • 06:25:00 total length •Introduction to Data Science: 00:01:00 •Data Science: Career of the Future: 00:04:00 •What is Data Science?: 00:02:00 •Data Science as a Process: 00:02:00 •Data Science Toolbox: 00:03:00 •Data Science Process Explained: 00:05:00 •What's Next?: 00:01:00 •Engine and coding environment: 00:03:00 •Installing R and RStudio: 00:04:00 •RStudio: A quick tour: 00:04:00 •Arithmetic with R: 00:03:00 •Variable assignment: 00:04:00 •Basic data types in R: 00:03:00 •Creating a vector: 00:05:00 •Naming a vector: 00:04:00 •Vector selection: 00:06:00 •Selection by comparison: 00:04:00 •What's a Matrix?: 00:02:00 •Analyzing Matrices: 00:03:00 •Naming a Matrix: 00:05:00 •Adding columns and rows to a matrix: 00:06:00 •Selection of matrix elements: 00:03:00 •Arithmetic with matrices: 00:07:00 •Additional Materials: 00:00:00 •What's a Factor?: 00:02:00 •Categorical Variables and Factor Levels: 00:04:00 •Summarizing a Factor: 00:01:00 •Ordered Factors: 00:05:00 •What's a Data Frame?: 00:03:00 •Creating Data Frames: 00:20:00 •Selection of Data Frame elements: 00:03:00 •Conditional selection: 00:03:00 •Sorting a Data Frame: 00:03:00 •Additional Materials: 00:00:00 •Why would you need lists?: 00:01:00 •Creating a List: 00:06:00 •Selecting elements from a list: 00:03:00 •Adding more data to the list: 00:02:00 •Additional Materials: 00:00:00 •Equality: 00:03:00 •Greater and Less Than: 00:03:00 •Compare Vectors: 00:03:00 •Compare Matrices: 00:02:00 •Additional Materials: 00:00:00 •AND, OR, NOT Operators: 00:04:00 •Logical operators with vectors and matrices: 00:04:00 •Reverse the result: (!): 00:01:00 •Relational and Logical Operators together: 00:06:00 •Additional Materials: 00:00:00 •The IF statement: 00:04:00 •IFELSE: 00:03:00 •The ELSEIF statement: 00:05:00 •Full Exercise: 00:03:00 •Additional Materials: 00:00:00 •Write a While loop: 00:04:00 •Looping with more conditions: 00:04:00 •Break: stop the While Loop: 00:04:00 •What's a For loop?: 00:02:00 •Loop over a vector: 00:02:00 •Loop over a list: 00:03:00 •Loop over a matrix: 00:04:00 •For loop with conditionals: 00:01:00 •Using Next and Break with For loop: 00:03:00 •Additional Materials: 00:00:00 •What is a Function?: 00:02:00 •Arguments matching: 00:03:00 •Required and Optional Arguments: 00:03:00 •Nested functions: 00:02:00 •Writing own functions: 00:03:00 •Functions with no arguments: 00:02:00 •Defining default arguments in functions: 00:04:00 •Function scoping: 00:02:00 •Control flow in functions: 00:03:00 •Additional Materials: 00:00:00 •Installing R Packages: 00:01:00 •Loading R Packages: 00:04:00 •Different ways to load a package: 00:02:00 •Additional Materials: 00:00:00 •What is lapply and when is used?: 00:04:00 •Use lapply with user-defined functions: 00:03:00 •lapply and anonymous functions: 00:01:00 •Use lapply with additional arguments: 00:04:00 •Additional Materials: 00:00:00 •What is sapply?: 00:02:00 •How to use sapply: 00:02:00 •sapply with your own function: 00:02:00 •sapply with a function returning a vector: 00:02:00 •When can't sapply simplify?: 00:02:00 •What is vapply and why is it used?: 00:04:00 •Additional Materials: 00:00:00 •Mathematical functions: 00:05:00 •Data Utilities: 00:08:00 •Additional Materials: 00:00:00 •grepl & grep: 00:04:00 •Metacharacters: 00:05:00 •sub & gsub: 00:02:00 •More metacharacters: 00:04:00 •Additional Materials: 00:00:00 •Today and Now: 00:02:00 •Create and format dates: 00:06:00 •Create and format times: 00:03:00 •Calculations with Dates: 00:03:00 •Calculations with Times: 00:07:00 •Additional Materials: 00:00:00 •Get and set current directory: 00:04:00 •Get data from the web: 00:04:00 •Loading flat files: 00:03:00 •Loading Excel files: 00:05:00 •Additional Materials: 00:00:00 •Base plotting system: 00:03:00 •Base plots: Histograms: 00:03:00 •Base plots: Scatterplots: 00:05:00 •Base plots: Regression Line: 00:03:00 •Base plots: Boxplot: 00:03:00 •Introduction to dplyr package: 00:04:00 •Using the pipe operator (%>%): 00:02:00 •Columns component: select(): 00:05:00 •Columns component: rename() and rename_with(): 00:02:00 •Columns component: mutate(): 00:02:00 •Columns component: relocate(): 00:02:00 •Rows component: filter(): 00:01:00 •Rows component: slice(): 00:04:00 •Rows component: arrange(): 00:01:00 •Rows component: rowwise(): 00:02:00 •Grouping of rows: summarise(): 00:03:00 •Grouping of rows: across(): 00:02:00 •COVID-19 Analysis Task: 00:08:00 •Additional Materials: 00:00:00 •Assignment - R Programming for Data Science: 00:00:00

Overview This comprehensive course on Data Science & 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 Data Science & Machine Learning with Python comes with accredited certification from CPD, 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 Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00