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 Free Download Mnemonics Devices A Practical Introduction Published 8/2025 Created by Sancy S MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 38 Lectures ( 3h 26m ) | Size: 2.34 GB Mnemonics Devices - Discover how Simple Mental Shortcuts Can Give You A Sharper Memory What you'll learn Phase I: The Unforgettable Foundation: Activating Your Brain's Natural Memory Code Phase II: Your Instant-Recall Toolkit: Mastering The Core Mnemonic Systems Phase III: Cracking The Code Of Numbers & dаta: From Digits To Dominance Phase IV: Constructing Your Mental Superstructure: The Art Of The Mind Palace Phase V: The Real-World Dominance Protocol: Applying Your Skills For A Genius-Level Advantage Phase VI: Becoming A Lifelong Mental Athlete: Integrating Memory Mastery Into Your Identity Requirements There are no requirements or prerequisites for this course Description This course contains the use of artificial intelligence.Do you sometimes forget information after reading or studying it?Do names, numbers, or important details slip your mind, especially when you need them for exams, work, or everyday life?This course, Mnemonic Devices: A Practical Introduction, introduces a variety of memory strategies known as mnemonic techniques. These are structured ways to help you better organize and recall information by using simple tools like visualization, association, and patterns.Rather than relying on repetition or re-reading alone, mnemonic methods provide alternative techniques that can help improve how you store and retrieve information.What Are Mnemonic Devices?Mnemonic devices are memory aids that help you remember information by linking it to familiar ideas, images, or sounds. These techniques are used in education and training to help learners improve recall and make studying more effective.They include tools such as acronyms, rhymes, visual associations, and mental maps. While they do not guarantee perfect memory, they offer useful ways to work with the brain's natural preferences for structure and imagery.What You'll LearnThis course is a basic overview of how mnemonic devices work and how to use them. Topics include:An introduction to how memory worksCommon reasons why we forgetOverview of major mnemonic techniquesUsing imagery and association to remember facts and conceptsThe Method of Loci (Memory Palace) and how to apply itTools like acronyms, rhymes, and peg systemsUsing mnemonics for studying vocabulary, lists, names, and morePractical applications for school, work, and general memory improvementThis course is suitable for students, professionals, and anyone interested in learning memory techniques in a structured and accessible way. Who this course is for An Ambitious Beginner excited to learn the right way from the very beginning A Lifelong Learner A Student Homepage https://www.udemy.com/course/mnemonics-devices-a-practical-introduction/ Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
No Password - Links are Interchangeable  Free Download Microsoft Excel Formulas and Functions for Data Analysis Published 8/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 53m | Size: 240 MB Unlock the most used Microsoft Excel formula and functions for data analysis What you'll learn Identify how to use Microsoft Excel formulas and functions for different analysis Explain the IF function/statement and apply it effectively Discover the connection between Microsoft Excel functions and data analysis Summarize the most used Microsoft Excel formulas and functions Understand key data analysis skills Requirements No programming experience needed. You must have a Microsoft Excel software or the online version Description Microsoft Excel is a powerful tool that can help streamline data analysis, business processes and productivity, but its many formulas and functions can easily overwhelm you. Whether you are a beginner, intermediate or advanced user, this course offers plenty of shortcuts, tips and tricks to help you master data analysis using the best Excel functions.Have you ever wanted to learn how to implement Excel functions quickly? This course introduces you to Microsoft Excel formulas and functions in spreadsheets and their uses in data analysis. We will cover selected functions like 'minimum', 'maximum', 'logarithm', 'mode', 'modulo', 'average', among others.Again, many users find it challenging to use the 'IF' function effectively. What can we teach you about this function? For one thing, we use simple terms to ease understanding for all user types. Combining functions in complex calculations is an essential skill. This course will prove to be very helpful in understanding all these different functions. These functions can be used to analyze different data types. Thus, the course easily explains all these elements.By the end of this course, you will have a sound understanding of Microsoft Excel formulas and functions and other important tips. You will acquire the knowledge, concepts and skills needed to become a competent data analyst using Excel functions. 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No Password - Links are Interchangeable  Free Download Mental Math for Brain Fitness Improve Focus, Memory & Speed Published 8/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 4h 47m | Size: 2.74 GB Sharpen your mind, boost focus, enhance memory, and speed up thinking with powerful mental math brain workouts. What you'll learn Boost focus, memory, and mental agility with 15-minutes of everyday practice. Solve math problems quickly—no calculator, pen, or paper needed. Course covers 33 Easy Math Tricks, 23 Workbooks and 5 Brain Games Strengthen problem-solving, logical thinking, and decision-making skills. Spot patterns and apply shortcuts for faster, smarter calculations. Increase confidence in handling money, data, and daily math tasks. Protect your brain from mental decline and reduce digital dependency. Process information faster and think more clearly under pressure. Build long-term mental resilience through consistent brain workouts. Requirements Basic knowledge of Addition, Subtraction, Multiplication and Division. Knowledge of Mathematics up to 5th grade. Knowledge of the Multiplication Tables up to 9. Description .In the Age of AI, why bother doing math yourself?Because your brain is still your most powerful tool.Just like your body needs movement to stay fit, your brain needs regular challenges to stay sharp. Without mental exercise, thinking slows, focus weakens, and long-term memory can decline.This course isn't about school math, it's about training your mind to stay alert, quick, and independent in a world where technology wants to think for you.Yes, calculators, Google, and AI tools like ChatGPT can give instant answers. But the more you outsource your thinking, the less your brain works, and studies prove the cost:MIT found that relying on AI reduced brain activity in areas tied to memory, creativity, and critical thinking.The "Google Effect" shows we remember where to find information, not the information itself—weakening long-term memory.MIT Media Lab observed frequent AI users had poorer recall, lower creativity, and struggled when forced to think on their own.The takeaway?Let AI support you, not replace you. Your brain's cognitive muscles still need exercise.Mental math is one of the most effective workouts for your mind. In just 15 minutes a day, you can:Strengthen memory and recallBoost focus and attention spanImprove problem-solving and decision-makingBuild mental resilience and agilityMath Genius isn't just a set of tricks, it's a structured brain-training program that keeps your mind active, sharp, and independent, no matter your age.Keep your brain in the game. Train it, challenge it, and protect it—because once you stop using it, you start losing it.. Who this course is for Anyone who wants to stay sharp, think clearly, and stay mentally independent. For students, a professionals, parents, and lifelong learner. Homepage https://www.udemy.com/course/mental-math-for-brain-fitness-improve-focus-memory-speed/ Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
No Password - Links are Interchangeable  Free Download Machine learning Basics and Advanced Topics Using Python Published 8/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 47m | Size: 295 MB Machine learning What you'll learn Introduction, Machine Learning (ML) Definition, Types of learning Techniques: Supervised Learning, Un-supervised Learning, Reinforcement Learning Dataset Analysis, Preprocessing Techniques, Framework of ML Development for a Project in Business Explaining supervised ML algorithms such as Linear Regression, Logisitc Regression, Support vector Machines, Decision Trees, Naive bayes, KNN, Random Forrest Explaining unsupervised ML algorithms such as Hierarchical Clustering, DBSCAN, PCA Explaining Reinforcement Learning algorithms such as Q-learning, Deep Q-Network (DQN) Implementing ML algorithms using Python Requirements Python Description Introduction to Machine Learning •Overview•What is Machine Learning (ML)?•Workflow of Machine Learning Model•How to Obtain Best Results with a ML Model?•Types of Tasks Using Machine Learning Models•Terminologies•Responsibilities of Job Positions in Machine Learning•Some Applications of Machine Learning•Some Forecasting Applications Used in Business•Prediction of Time Series Data•Nature/behavior of Time series data may be include:•Other Applications Used in Business Using Machine Learning•Challenges of Machine Learning•Some Issues in Machine Learning•Hugging Face•Python Tools & Python LibrariesLearning Techniques •What is Difference between Traditional Programming & Machine Learning?•Machine learning in Practice•Machine learning FrameworksTypes of Learning•Supervised Learning•Unsupervised Learning•Reinforcement LearningML Tasks & Applications•Regression•Classification•Clustering•Dimensionality ReductionExample on Supervised Learning in Learning PhaseExample on Supervised Learning in Prediction PhaseML Learning Algorithms/TechniquesAdvs. & Disadvs. of ML AlgorithmsMachine learning (ML) for ClassificationMachine Learning (ML) for RegressionMachine Learning ProcessOverall Process of Building a ML ModelDataset Analysis • Data Overview• Dataset Workloads• Typical dataset composition• Sources of Dataset• Data Types• Framework for a Business Problem• Data Collection & labeling dataData Evaluation•Format of Data•Examine Data Types•Describe Dataset with its Statistics•VisualizationData Processing•Data cleansing•Feature EngineeringData Conversion•Data Encoding•Data scalingData ImbalancedSMOTESupervised Learning AlgorithmsLinear Regression (LR)Logistics RegressionSupport Vector Machine (SVM)Decision Tree (DT)Naïve Bayes (NB)K-Nearest Neighbor (KNN)Ensemble Learning: Bagging Techniques e.g. Random Forest (RF)Ensemble Learning: Boosting Techniques e.g. Gradient Boosting Decision Trees (GBDT)Unsupervised Learning AlgorithmsK-meansHierarchical ClusteringDBSCANPrinciple Component Analysis (PCA)Reinforcement LearningQ-LearningDeep Q-Network (DQN) Who this course is for for all Homepage https://www.udemy.com/course/machine-learning-basics-and-advanced-topics-using-python/ Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me No Password - Links are Interchangeable Free Download Machine Learning Bootcamp: Build Ml Models Using GenAI Published 8/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.42 GB | Duration: 12h 24m Machine Learning for non-coders | Understand Machine Learning concepts & use GenAI to write code for building ML models What you'll learn Build a strong foundation in Python, statistics, and machine learning—covering regression, classification, and model evaluation Work with real datasets to clean, preprocess, and visualize data using NumPy, Pandas, and Seaborn for ML readiness Implement core ML algorithms in Python with ChatGPT-assisted coding for faster, cleaner, and more efficient development Master advanced ML techniques like ensemble methods, grid search, and SVMs to create high-performing predictive models Handle missing values, outliers, categorical variables, and feature scaling to improve model quality and accuracy Leverage ChatGPT to explain complex ML concepts, debug Python code, and generate efficient solutions in real-time Compare multiple models side-by-side to select the best fit for predictive accuracy and business requirements Requirements No prior programming or machine learning experience required—A computer with internet access, basic familiarity with browsing tools, and a willingness to explore AI-assisted learning methods. 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By the end of this bootcamp, you'll be able to confidently approach ML problems, build and optimize models, and leverage AI tools like ChatGPT to boost your productivity and accuracy.Whether you're preparing for a career in data science, adding ML to your skill set as a developer, or simply exploring the potential of AI-powered problem solving, you'll walk away with the skills, confidence, and workflow to succeed.Enroll today to build the future—one model at a time—powered by Python, guided by AI, and driven by data. Aspiring data scientists and analysts who want a structured, hands-on introduction to machine learning using Python.,Students and professionals from non-technical backgrounds eager to break into the ML/AI field with the help of ChatGPT-assisted coding.,Software developers, engineers, and IT professionals looking to expand their skill set into machine learning and predictive analytics.,Business analysts, managers, and domain experts who want to use data-driven models to solve real-world problems.,Anyone curious about how to apply machine learning—from regression to advanced ensemble methods—without needing prior ML experience. Homepage https://www.udemy.com/course/machine-learning-bootcamp-genai/ Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
No Password - Links are Interchangeable  Free Download Introduction to Generative Adversarial Networks (GANs) (2025) Released 08/2025 With Gwendolyn Stripling MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 1m 2s | Size: 86 MB Gain a practical understanding of Generative Adversarial Networks (GANs) and unlock the exciting possibilities of these powerful generative modeling technologies. Course details Generative Adversarial Networks (GANs) are a groundbreaking innovation in deep learning, capable of generating realistic images, audio, and synthetic data. In this hands-on course, Gwendolyn Stripling—a machine learning and artificial intelligence and PhD—provides a solid foundation in the architecture and training of GANs. Learn how GANs work and get proactive practice, applying GANs to tasks such as synthetic data and image generation. This course will help you confidently step into the world of generative modeling and discover how these architectures are applied to real-world tasks. Homepage https://www.linkedin.com/learning/introduction-to-generative-adversarial-networks-gans-26283306 Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me No Password - Links are Interchangeable Free Download IELTS 8 Band Complete Guide – Strategy, Structure & Speed Published 8/2025 Created by London School of Writing and Storytelling MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 20 Lectures ( 1h 39m ) | Size: 1.8 GB IELTS 8 Band Guide with Strategies, Speaking Hacks, and Writing Tips | IELTS 8 Band Complete Guide – Strategy, Structure What you'll learn Students will gain an in-depth understanding of the IELTS format, scoring system, and examiner expectations. By breaking down each section. 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