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Are you fascinated with Netflix and YouTube recommendations and how they accurately recommend content that you would like to watch? Are you looking for a practical course that will teach you how to build intelligent recommendation systems? This course will show you how to build accurate recommendation systems in Python using real-world examples.

Learn to design, plan, and scale cloud implementations with Google Cloud Platform's BigQuery. This course will walk you through the fundamentals of applied machine learning and BigQuery ML along with its history, architecture, and use cases.

Elite EA/PA Forum We are delighted to announce the Elite EA/PA Forum for ANZ will be on the 25th of September 2025. Our workshop aims to: Enhance your influence and impact by mastering assertive communication, negotiation, and self-advocacy skills. Stay composed and solution-focused in high-pressure situations with practical tools for crisis management and clear decision-making. Embrace evolving technology by understanding how AI and automation can streamline your role and boost efficiency. Future-proof your career by building strategic value, resilience, and adaptability in an ever-changing professional landscape. Keynote Address with Q&A from the audience: What to expect from Sam's Keynote: With over 30 years supporting leaders at the highest levels, Sam Cohen brings a wealth of insight, experience, and stories (the kind she can share) to the stage. From 18 years serving within The Royal Household - including as Deputy Private Secretary and Press Secretary to Her late Majesty Queen Elizabeth II - to working with The Duke and Duchess of Sussex, running the Prime Minister’s Office at Downing Street, and serving as Chief of Staff to the global CEO of Rio Tinto, Sam’s career is a masterclass in discretion, diplomacy, and delivering at the top. In this exclusive keynote, Beyond the Role, Sam will explore how Executive Assistants don’t just support leaders - they shape leadership, drive strategy, and build legacy from behind the scenes. Join us for this rare opportunity to hear from someone who’s been at the epicentre of power - and bring your questions! The keynote will include a live Q&A, where you can ask Sam about her remarkable career, leadership insights, and how to truly excel in high-performance environments. (Don’t ask her what the Queen kept in her handbag - she’s not telling.) Sam Cohen Career Bio: Sam Cohen has spent the last 30 years working to support leaders in the public and private sectors. Sam spent 18 years serving The Royal Household, as Deputy Private Secretary to Her late Majesty Queen Elizabeth II and Press Secretary to The Queen. Sam also served as Private Secretary to The Duke and Duchess of Sussex. Following this time, Sam worked as Director of the Prime Minister’s Office at Downing Street under Boris Johnson and, most recently, was Chief of Staff to the global CEO at Rio Tinto. Source: ABC News - YouTube Channel. Facilitator - AM: The Future-Proofed Assistant: Speak Up, Stand Out & Shape Your Career Path How to reimagine your Assistant role in 2025 and beyond - How the EA role is evolving (and what Executives now expect) & why Assistants who think like strategists will be indispensable Assertiveness as an Assistant – The key to retaining your role & the difference between being ‘helpful’ and being ‘heard’ Self-Advocacy as a Career Growth Strategy – The importance of advocating for your career development, workload boundaries and recognition Own Your Professional Future - Map your career development. Whether you're an EA for life or looking to a role beyond in the future, this is for you. Ruth Kilah Career Bio: Ruth is an international executive career coach and founder of Hoxton Hyde – Executive Career Coaching & Mentoring, delivering 1:1 and group programs for experienced Executive Assistants. She specialises in helping EAs step into higher-level roles, increase their income, and expand their professional impact. With 14 years’ experience supporting C-suite executives in Australia and the UK, Ruth brings deep industry insight and a strategic approach to career development. She empowers Assistants to gain clarity on their next move, adopt a strategic mindset, communicate their value effectively, and lead their own growth conversations with confidence. A former EA turned Stakeholder Relations and Project Manager, Ruth launched Hoxton Hyde in 2018 after spotting a clear gap in the market for tailored coaching for career-driven EAs. She is a respected thought leader in the EA space, regularly sharing insights via LinkedIn and Instagram. Panel: Crisis Mode: What to do when everything goes wrong Master a step-by-step approach to prioritising and problem-solving under pressure. Strengthen emotional resilience and calm decision-making during unexpected disruptions. Learn how to communicate clearly and lead from behind in high-stress situations. Emma-Kate Bos Bio Emma-Kate works alongside the CEO at Squadron Energy, one of Australia’s leading renewable energy companies. With over 28 years of experience in Executive Assistant and Operational roles supporting business leaders in professional services, politics, membership industries, sporting and not-for-profit organisations, Emma-Kate has a deep understanding of business support roles and has managed large teams of assistants and receptionists. She is passionate about developing and mentoring team members Emma-Kate holds an Associate Degree in Law, Mini MBA and Certificate in Public Relations. Sepi Nowlands Sepi has also worked as an EO for Deloitte and spent 18 years previously as an Executive Assistant at the ATO, Law Council of Australia, Grains Research and Development Corporation and Air Services Australia. She is now EA and EO to the CPO. Holly Clareburt Hollie Clareburt is an experienced Executive Assistant, currently supporting the Managing Director of Microsoft New Zealand and the Chief Partner Officer. Known for her professionalism and discretion, she excels in providing high-level support in fast-paced, executive environments. Prior to Microsoft, Hollie was Executive Assistant to the Chief of Corporate & Enterprise Systems at BECA, and previously supported the CEO at SKY News New Zealand. Her career reflects a strong track record of reliability, organisation, and executive partnership. Liv Wilson With over 20 years of experience across banking, government, creative industries, and global tech, Liv has supported senior leaders at companies including LinkedIn and Slack. She brings a strategic lens to the business support function, with deep expertise in operations, leadership enablement, and organisational effectiveness. As a passionate advocate for elevating the role of Executive Assistants, Liv has led women’s networks, championed DEI and social impact initiatives, and continues to push for recognition of business support as a critical driver of business success. She is currently working on her side hustle business - collaborating with executives, entrepreneurs, and small business owners to amplify their impact by removing operational barriers, optimising systems, and unlocking their capacity to lead and grow. Facilitator - PM: Justin Kabbani AI Is Not Here to Replace You. It's Here to Upgrade You. We'll explore Justin's proven 3P framework: Priming – How to set up AI like a strategic advisor by feeding it context, tone and mindset Prompting – How to craft clear, structured instructions to get consistently great results Producing – How to turn AI outputs into high-leverage work that makes you stand out Your session outcomes: Real examples from admin professionals already using AI to elevate their work Prompts you can copy, adapt, and test live Interactive exercises to build confidence fast A practical challenge to implement right after the session If you’ve been overwhelmed by AI, or underwhelmed by its impact, this session will change that. You'll leave with tools you can use today, and a mindset you’ll carry forward for the rest of your career. Justin Kabbani Career Bio: Justin Kabbani is one of Australia’s most in-demand AI trainers and keynote speakers, known for making AI feel simple, powerful, and immediately useful. He’s worked with brands like Uber, Treasury Wine Estates, and Udemy, helping their teams embed AI into daily workflows, strategic planning, and executive communication. Over the past two years, Justin has trained more than 2,000 professionals across Australia and beyond, consistently earning feedback like “mind-blowing,” and “game-changing”. His signature Prime, Prompt, Produce framework has transformed how business leaders, executive assistants, marketers, and teams think, work, and communicate with AI, without needing to be “tech people.” Justin believes AI isn’t here to replace people. It’s here to take the robotic work off our plate, so we can focus on what humans do best. LinkedIn: https://www.linkedin.com/in/justinkabbani/ Website: https://justinkabbani.com/ Speed Connections Networking Session Join us for Speed Connections, a lively 30-minute networking session designed to foster meaningful connections in a fun, fast-paced environment. Every 10 minutes, attendees will be placed into new breakout rooms with small groups, giving everyone the chance to meet a diverse range of peers. Each breakout session will feature engaging prompts to spark conversations and make networking enjoyable and memorable! Who will attend this event? Executive Assistant (EA) Personal Assistant (PA) Virtual Assistant (VA) Legal Secretary Legal Executive Assistant Administrative Assistant Office Manager Health Care Office Manager Chief of Staff Additional roles may be relevant depending on role responsibilities along with development opportunities. We understand the challenge. Professional development for assistants is often undervalued, and securing budget or approval for external training can be difficult. That’s why we’ve created a ready-to-use business case template to help you justify attendance at this event and highlight the value it brings to both you and your organisation. If you need support or costings confirmed for single or group attendance, please reach out to our support team at: support@elite-forums.com You can download and edit the template below: This workshop is open to females, male including trans women/males and non-binary professionals. Group Rate Discounts: To discuss our group rates in more detail, please email support@elite-forums.com and provide the following: Group Number (How many would like to attend) Event Date (If numerous dates, please advise if we are splitting attendees across multiple dates) Attendee Contact details (Or request our Group Rate Document. Complete and return - we'll sort the rest.) Group discounts are on request - see below group rate discount brackets: 🧩 You just need one piece to come together - to unlock your Elite Potential. 🔑 Please note: All facilatators, panelists, and speakers are all PAID with applicable contracts in place. We value our speakers and want the best to ensure our attendees get the best development. Media outlets/organisations will not be permitted to attend this event.

Learning Disability Nurse Training Course Overview Are you looking to begin your learning disability nursing career or want to develop more advanced skills in learning disability nursing? Then this learning disability nurse online training course will set you up with a solid foundation to become a confident learning disability nurse and help you to develop your expertise in learning disability nursing. This learning disability nurse online training course is accredited by the CPD UK & IPHM. CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this learning disability nurse online training course will set you up with a solid foundation to become a confident learning disability nurse and develop more advanced skills. Gain the essential skills and knowledge you need to propel your career forward as a learning disability nurse. The learning disability nurse online training course will set you up with the appropriate skills and experience needed for the job and is ideal for both beginners and those currently working as a learning disability nurse. This comprehensive learning disability nurse online training course is the perfect way to kickstart your career in the field of learning disability nursing. This learning disability nurse online training course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. If you're interested in working as a learning disability nurse or want to learn more skills on learning disability nursing but unsure of where to start, then this learning disability nurse online training course will set you up with a solid foundation to become a confident learning disability nurse and develop more advanced skills. As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This learning disability nurse online training course is crafted by industry expert, to enable you to learn quickly and efficiently, and at your own pace and convenience. Who should take this course? This comprehensive learning disability nurse online training course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of learning disability nursing. Entry Requirement There are no academic entry requirements for this learning disability nurse online training course, and it is open to students of all academic backgrounds. As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol. Career path This learning disability nurse online training course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your new skills to your CV, enhance your career and become more competitive in your chosen industry. Course Curriculum Module 01: Introduction Module 01: Introduction Module 02: Learning Disability and Mental Health Module 02: Learning Disability and Mental Health Module 03: Causes of Learning Disability Module 03: Causes of Learning Disability Module 04: Legal Framework on Learning Disability Module 04: Legal Framework on Learning Disability Module 05: Challenging Behaviour of Adults with Learning Disabilities Module 05: Challenging Behaviour of Adults with Learning Disabilities Assessment Mock 1 Assessment Mock 1 Module 06: Protecting People with Learning Disabilities Module 06: Protecting People with Learning Disabilities Module 07: Assessment and Diagnosis of Learning Disability Module 07: Assessment and Diagnosis of Learning Disability Module 08: Learning Disability Nursing Module 08: Learning Disability Nursing Module 09: Different Approaches to therapy Module 09: Different Approaches to therapy Module 10: Physical Health Issues with Down's Syndrome Module 10: Physical Health Issues with Down's Syndrome Assessment Mock 2 Assessment Mock 2 Module 11: Mental Health Issues and Epilepsy Module 11: Mental Health Issues and Epilepsy Module 12: Access to Health Care Module 12: Access to Health Care Module 13: Role of the Learning Disability Nurse Module 13: Role of the Learning Disability Nurse Module 14: Professional and Legal Issues Module 14: Professional and Legal Issues Module 15: The Future of Learning Disability Nursing Module 15: The Future of Learning Disability Nursing Conclusion Conclusion Assessment Mock 3 Assessment Mock 3 Final Assessment Final Assessment - Learning Disability Nurse Online Training Course Recognised Accreditation CPD Certification Service 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. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Certificate of Achievement Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to 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. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

This course aims to teach you how to use Python for machine learning and data science.

Overview This comprehensive course on Machine Learning for Predictive Maps in Python and Leaflet 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 for Predictive Maps in Python and Leaflet 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 Machine Learning for Predictive Maps in Python and Leaflet. It is available to all students, of all academic backgrounds. Requirements Our Machine Learning for Predictive Maps in Python and Leaflet 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 9 sections • 33 lectures • 05:59:00 total length •Introduction: 00:10:00 •Python Installation: 00:04:00 •Creating a Python Virtual Environment: 00:07:00 •Installing Django: 00:09:00 •Installing Visual Studio Code IDE: 00:06:00 •Installing PostgreSQL Database Server Part 1: 00:03:00 •Installing PostgreSQL Database Server Part 2: 00:09:00 •Adding the settings.py Code: 00:07:00 •Creating a Django Model: 00:10:00 •Adding the admin.py Code: 00:21:00 •Creating Template Files: 00:10:00 •Creating Django Views: 00:10:00 •Creating URL Patterns for the REST API: 00:09:00 •Adding the index.html code: 00:04:00 •Adding the layout.html code: 00:19:00 •Creating our First Map: 00:10:00 •Adding Markers: 00:16:00 •Installing Jupyter Notebook: 00:07:00 •Data Pre-processing: 00:31:00 •Model Selection: 00:20:00 •Model Evaluation and Building a Prediction Dataset: 00:11:00 •Creating a Django Model: 00:04:00 •Embedding the Machine Learning Pipeline in the Application: 00:42:00 •Creating a URL Endpoint for our Prediction Dataset: 00:06:00 •Creating Multiple Basemaps: 00:09:00 •Creating the Marker Layer Group: 00:10:00 •Creating the Point Layer Group: 00:12:00 •Creating the Predicted Point Layer Group: 00:07:00 •Creating the Predicted High Risk Point Layer Group: 00:12:00 •Creating the Legend: 00:09:00 •Creating the Prediction Score Legend: 00:15:00 •Resource: 00:00:00 •Assignment - Machine Learning for Predictive Maps in Python and Leaflet: 00:00:00

Overview of Strategies for Teaching Students with Learning Disabilities Course A little care and support in the classroom can help children with learning disabilities live healthy and prosperous lives. This course will explore the successful strategies for teaching children with learning difficulties in inclusive classrooms.  Our Strategies for Teaching Students with Learning Disabilities Course will give you an overall understanding of the characteristics, types and effects of learning disabilities. Moving forward, you'll understand what IEP is and explore the several core steps in creating an effective IEP. Then, you'll discover the best practices for creating a supportive and inclusive classroom environment. The course also covers the teaching strategies for reading problems, math difficulties and writing expression. Finally, you'll understand how to teach social skills and promote positive behaviour in the classroom. Course Preview Learning Outcomes Find a comprehensive guide to teaching children with learning difficulties Identify the IEP goals for special education students Understand how to modify lessons for students with learning difficulties Learn how to help children learn and understand mathematics Explore the techniques to improve reading skills in children with learning disabilities Discover the strategies for a behaviour intervention plan Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email Who Should Take this Strategies for Teaching Students with Learning Disabilities Course? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Strategies for Teaching Students with Learning Disabilities Course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Certificate of Achievement After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. Career Path​ Strategies for Teaching Students with Learning Disabilities Course provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as: Special Education Teacher Learning Support Assistant Behaviour Analyst School Counsellor Educational Consultant Special Education Coordinator Module 1: Introduction to Learning Disabilities Introduction to Learning Disabilities 00:15:00 Module 2: Types of Learning Disabilities Types of Learning Disabilities 00:21:00 Module 3: Understanding Individualised Education Plans (IEPs) Understanding Individualised Education Plans (IEPs) 00:15:00 Module 4: Classroom Adaptations for Students with Learning Disabilities Classroom Adaptations for Students with Learning Disabilities 00:18:00 Module 5: Teaching Strategies for Reading Difficulties Teaching Strategies for Reading Difficulties 00:17:00 Module 6: Teaching Strategies for Written Expression Teaching Strategies for Written Expression 00:15:00 Module 7: Teaching Strategies for Math Difficulties Teaching Strategies for Math Difficulties 00:19:00 Module 8: Behaviour Management and Social Skills for Students Behaviour Management and Social Skills for Students 00:15:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

CPD certified, digital study session, 24-hour postural care training, learning new ways to bring excellence to 24-postural care, focussing on supported lying.

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

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