2318 Software Development courses in New Romney delivered On Demand

🌟 Introducing 'Skills for Role Playing Games'   Embark on a journey to master the art of Role Playing Games (RPGs) with our comprehensive training program. Whether you're a novice seeking to delve into the immersive worlds of RPGs or a seasoned player aiming to refine your skills, our modules are designed to elevate your gameplay experience to new heights.   📘 Module 1: Introduction to Role Playing Games Get acquainted with the fundamentals of RPGs, from understanding game mechanics to exploring different genres and playstyles. Lay the groundwork for your adventure and unlock the secrets of successful role-playing.   🌍 Module 2: World Building and Lore Dive deep into the creation of captivating game worlds and rich lore. Learn the art of building immersive environments, crafting compelling backstories, and developing intricate cultures that will enchant players and breathe life into your game universe.   🎭 Module 3: Character Design and Progression Master the art of character creation and development. Discover the key elements of designing memorable characters, from personalities to abilities, and learn how to guide their growth throughout the game, ensuring a dynamic and engaging player experience.   📜 Module 4: Quest Design and Narrative Crafting Unleash your creativity as you delve into the intricacies of quest design and storytelling. Explore techniques for crafting captivating narratives, designing challenging quests, and weaving them seamlessly into the fabric of your game world to immerse players in unforgettable adventures.   🤝 Module 5: Player Interaction and Dynamic NPCs Explore the dynamics of player interaction and the role of Non-Player Characters (NPCs) in shaping the gaming experience. Learn how to create dynamic NPCs with distinct personalities and motivations, fostering meaningful interactions that enhance immersion and engagement.   🌐 Module 6: World Events and Dynamic Storytelling Unlock the power of dynamic storytelling and world events to keep players engaged and invested in your game world. Discover how to create dynamic events that evolve based on player actions, driving the narrative forward and ensuring a constantly evolving gaming experience.   🚀 Why Choose 'Skills for Role Playing Games'? Comprehensive training covering all aspects of RPG design and gameplay. Expert-led modules crafted by industry professionals with years of experience. Practical insights and hands-on exercises to reinforce learning. Suitable for beginners and seasoned players alike, catering to diverse skill levels. Elevate your game design and storytelling abilities to create unforgettable RPG experiences.   Don't just play RPGs - master them with 'Skills for Role Playing Games' and unlock the potential to create worlds that captivate players and stand the test of time. Enroll now and embark on your journey to RPG mastery! Course Curriculum Module 1_ Introduction to Role Playing Games Introduction to Role Playing Games 00:00 Module 2_ World Building and Lore World Building and Lore 00:00 Module 3_ Character Design and Progression Character Design and Progression 00:00 Module 4_ Quest Design and Narrative Crafting Quest Design and Narrative Crafting 00:00 Module 5_ Player Interaction and Dynamic NPCs Player Interaction and Dynamic NPCs 00:00 Module 6_ World Events and Dynamic Storytelling World Events and Dynamic Storytelling 00:00

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Description iBeacon technology is Apple's Internet of Things solution. iBeacons transmit location data that can trigger actions on an iPhone or iPad, allowing app developers to add real-world context to their user experiences. This Diploma in iBeacon Mobile Apps is for developers who want to know how to discover and respond to beacons in the wild and create their own beacon-based apps. This course shows you how to incorporate iBeacons into a mobile app to trigger a user's phone to view product information, deliver coupons, or help them to find their way. You will learn how to program iBeacon discovery, monitoring, triggers, and notifications with Swift, and provides an overview of wireless concepts, deployment plans, and real-world examples of iBeacon use. This course is also perfect for marketing people and shop owners who want to understand how iBeacons can build their business. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. 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? Diploma in iBeacon Mobile Apps 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 Diploma in iBeacon Mobile Apps 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. Introduction to iBeacons How iBeacons Work FREE 00:04:00 A simple Demo 00:01:00 Creating a Virtual Beacon With Estimote 00:02:00 Building Your Own App Setting up the Design Environment 00:12:00 Using the designer to add iBeacons 00:12:00 Testing your App 00:04:00 Using the Viewer to Test Your App 00:01:00 Using iBeacons to Open External Web Pages and Videos 00:02:00 Advanced Editing Creating a wish listshopping cart 00:12:00 Triggering Facebook and Twitter Sharing with an iBeacon 00:07:00 Adding a Bar Code and QR Code Reader 00:03:00 Adding Mapping Functonality with Google Maps 00:07:00 Customizing the App - Beacon Messages, Icons and Splash pages 00:14:00 Custom iBeacon Triggered Sounds 00:05:00 Eddystone - The New Beacon Protocal by Google Eddystone Introduction 00:03:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

[vc_row][vc_column][vc_column_text]Description: Do you want to learn basic programming? Or do you want to learn PHP scripting language specifically? Well, you're in the right place! This Diploma in PHP Programming course will be useful to anyone who wants to train themselves to program and become an expert in PHP language. This PHP programming course is designed to teach you how to plan and create dynamic, database-driven site pages utilising PHP adaptation. PHP is a dialect composed on the web, which is fast to learn, simple to convey and is an instrumental programming language required for web development. This course explores the PHP structure and covers the most vital strategies used to assemble dynamic sites. On course completion, you will be able to utilise any ODBC-supported database, including hands-on experience with MySQL database to make database-driven HTML structures and reports. This course covers all aspects of web development fundamentals, including client verification; information approval, dynamic information updates, and shopping basket usage. You will additionally be trained on how to design PHP and the Apache Web Server. This course contains hands-on activities expertly curated to strengthen learning and fast-track career progression. Who is the course for? Beginner to advanced level users can benefit from the lessons we provide People who have an interest in learning about programming and PHP Entry Requirement: This course is available to all learners, of all academic backgrounds. However, someone who has an education and experience in programming and PHP will be an advantage. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Diploma in Programming in PHP is a very useful qualification to possess, and will be very helpful to have especially for these careers: IT Department Manager IT Specialists Computer Engineer Computer Specialist Programmers Web developers And Other Computer Operation-related jobs! [/vc_column_text][/vc_column][/vc_row] Diploma in PHP Programming Welcome to the world of programming! 00:30:00 Getting Started 01:00:00 Let's Start Coding! 01:00:00 PHP Strings 01:00:00 PHP Variables 01:00:00 Useful Variables 00:30:00 PHP Includes & Problem Solving 01:00:00 Tip When Creating Inc Pages 00:30:00 Redirecting Using PHP 00:30:00 Multiple Conditions 01:00:00 PHP Arrays 01:00:00 PHP Loops 01:00:00 Note on PHP Math Functions: 00:30:00 Functions 01:00:00 PHP Sessions 00:30:00 Cookies 01:00:00 Introduction to MySQL 01:00:00 Making The Connection 01:00:00 Inserting Data 01:00:00 Deleting / Removing Data 00:15:00 Reference Books PHP - A BEGINNERS GUIDE 00:00:00 Programming with PHP 00:00:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Diploma in PHP Programming 00:20:00 Final Exam Final Exam- Diploma in PHP Programming 00:20:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

HTML is one of the primary and vital languages you need to get your hands on if you want to pursue a career in the IT industry. The HTML Crash Course is here to provide you with the essential knowledge and ability to work with this programming language. In this comprehensive HTML Crash Course, you will learn about the fundamentals of the HTML programming language. The interactive modules will show you the steps of installing HTML. You will receive detailed lessons on HTML tags, lists, forms etc. In addition, the course will also enrich your knowledge and understanding of HTML entities. From this HTML Crash Course, you will get both a theoretical and practical understanding of HTML. This course is the perfect place to establish a solid foundation in this highly beneficial programming language. You will also receive a valuable certificate after completing the course. Join now and increase your employability in the IT sector. Learning Objectives Familiarise yourself with the core concept of HTML Understand the process of HTML installation Enrich your knowledge of HTML tags, lists, forms etc Learn about HTML entities Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited HTML Crash Course is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this HTML Crash Course. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path On successfully completing the HTML Crash Course, learners can progress to a more advanced program from our course list. Career opportunities in this field include freelancing or working in-house, within a range of professional settings, with the opportunity to earn a high salary. Related professions in this industry include: Computer programmer Web developers Web designers Graphic designer Course Curriculum Module 01: Setup and Installation Installation And Setup 00:06:00 Module 02: Learning HTML5 HTML Tags 00:17:00 Lists 00:12:00 Forms 00:12:00 Tables 00:05:00 Html Entities 00:07:00 Module 03: MEGA PROJECT MEGA PROJECT 00:02:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Python Certification - Beginner to Expert offers a comprehensive journey from novice to proficient Python programmer. This course is structured into 18 sections, covering essential topics such as software installation, conditional branching, file handling, and database management.

🚀 Unlock the Power of Cloud Storage with Our 'Introduction to Amazon S3 Essentials' Course! 🌐   Are you ready to dive into the world of cloud storage and harness the unparalleled potential of Amazon S3? Look no further! Our comprehensive online course is your gateway to mastering the fundamentals of Amazon S3, designed to empower beginners and enthusiasts alike.   🔍 What You'll Learn: Foundation of Amazon S3: Gain a solid understanding of Amazon Simple Storage Service (S3) and its core functionalities. Setting Up & Configuration: Learn step-by-step how to create buckets, set permissions, and configure storage options effectively. Data Management: Master the art of storing, retrieving, and organizing data efficiently in Amazon S3. Security & Compliance: Understand best practices for securing your data and complying with industry standards. Integration & Automation: Explore integration possibilities and automate processes for seamless functionality.   💡 Why Choose Our Course? Expert Guidance: Led by industry experts with extensive experience in cloud computing and Amazon S3. Practical Approach: Hands-on exercises and real-life examples to reinforce learning. Flexible Learning: Study at your own pace, accessible 24/7 from anywhere in the world. Updated Content: Stay current with the latest trends, tips, and techniques in Amazon S3.   🎓 Who Is This Course For? Newcomers to Cloud Computing: Perfect for beginners looking to understand the basics of Amazon S3. IT Professionals: Enhance your skill set and advance your career in cloud technology. Developers & Entrepreneurs: Learn how to optimize Amazon S3 for your projects or business.   🏆 Enroll Today and Take Your First Step Towards Mastery! 🏆 Invest in your future with our 'Introduction to Amazon S3 Essentials' course and gain the expertise to navigate the world of cloud storage confidently. 👉 Don't miss this opportunity! Enroll now and unlock the potential of Amazon S3! 👈 Course Curriculum Basic Overview 00:00 Pricing 00:00 Set Up 00:00 File Storage 00:00 File Interface-Filezilla 00:00 File Interface-Cloudberry 00:00 File Delivery 00:00 File Backup 00:00 File Backup- Part-2 00:00 File Sharing 00:00 Cloud Transfers 00:00 Zapier Connection - Part 1 - Dropbox 00:00 Zapier Connection - Part 2 - Google Drive 00:00 Hosting Multimedia on S3 00:00 Using a Multimedia Interface on S3 00:00 Should I Host Multimedia on S3 00:00 File Protection 00:00 Tracking Bandwidth 00:00 Embedding Amazon S3 Video to Static HTML 00:00 Conclusion 00:00 Advanced Overview 00:00 Create and Configure a Bucket 00:00 Add A Bucket Policy 00:00 Uploading and Testing 00:00 Using Your Own Domain 00:00 Custom Domain Configuration - Part 1 00:00 Custom Domain Configuration - Part 2 - Bucket Configuration 00:00 Custom Domain Configuration - Part 3 00:00 Custom Domain Configuration - Part 4 - Domain Offsite 00:00 Custom Domain Configuration-Part 5 - Alias 00:00 Custom Domain Configuration - Part 6 - Testing 00:00 WordPress Installation - Part 1 00:00 WordPress Installation - Part 2 00:00 WordPress Backup to S3 00:00 WordPress Media Offload to S3 00:00 Serving Website Images From Amazon S3 00:00 Embedding Media Into WordPress 00:00 Embedding S3 Video Into WordPress with HTML 00:00 Securing Downloads In S3 and WordPress 00:00 Conclusion 00:00

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00

Unlock the power of data with our Basic Data Analysis Course. Learn essential techniques to interpret and draw insights from raw information. Enroll now to kickstart your data analysis journey and make informed decisions in any field.

The course covers data science and machine learning with R.