A Forward-Facing® Approach to Optimal Performance



Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 42m | Size: 412 MB

Overcoming Mental Blocks and Achieving Flow


What you'll learn
How and why "choking" and the "yips" happen - especially at the most inopportune times
How to get to and remain in optimal performance (i.e., "flow") on purpose
Learn how to "psych yourself down" for optimization
Develop skills for mitigating shame and getting back on your own team after "failure"
How to have a little grace and laugh at ourselves.
Requirements
No prior experience or specialized tools needed to take this course.
Willingness to Reflect on Personal Experiences: Being open to exploring and reflecting on past moments of performance, especially those where you felt under pressure, experienced setbacks, or struggled with confidence.
Openness to Learning New Strategies: A mindset that embraces growth and change, as the course will introduce new tools for overcoming performance barriers.
Description
When I was 11 years old, I tried out for junior league baseball. I did not make the team. It was devastating for me because I had played first string catcher and batted third in the lineup since I was eight. However, the tryouts were held the year after my parents had finalized an acrimonious divorce and I was bounced between my two parents multiple times during that year. During the tryouts, I was in the outfield and one of the coaches hit a high fly ball right to me. I was, at first, excited about catching it and redeeming myself for the poor playing I had demonstrated thus far during the tryouts. As soon as the ball was in the air, I instinctually perfectly positioned myself directly under where the ball was going to drop. However, during the three seconds the ball fell toward me I had a rapidly intensifying physiological threat response that had me double, triple, quadruple thinking my position and increasingly doubting my skills. I can still feel remnant waves of the shame I felt when the ball landed with a "plop" four inches next to my foot-can still hear the laughter of the other kids watching me fail.How many of you can find similar experiences from your own past? Like taking an exam where you knew the material but could not recall the answers when you read the questions? Performing in front of an audience something you rehearsed many times previous and were competent when practicing but "choked" during the performance. Or getting the yips when you were competing in a sport, game or contest and finding your skills temporarily-but profoundly-diminished?Are you interested in learning how to prevent these lapses in motor and cognitive functioning? Would you like to be able to intentionally dial-in optimal performance no matter the activity? How about being able to walk into high-demand situations and bring your confidence with you?Well then join me as I discuss using the Forward-Facing process to help us all perform better with less effort and greater comfort.
Who this course is for
Athletes or performers who experience performance anxiety
Professionals seeking to optimize their cognitive performance during high-pressure situations, such as presentations, interviews, or exams.
Anyone interested in improving their ability to stay calm and confident under stress.
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5 Days 5 Machine Learning Projects From Scratch



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 453.91 MB | Duration: 1h 20m

Complete 5 Days 5 Machine Learning Projects From Scratch


What you'll learn
Understand the foundations of machine learning through hands-on projects.
Learn the end-to-end workflow of a machine learning project, from data preparation to model deployment.
Gain experience with popular machine learning libraries like scikit-learn, TensorFlow, and Pandas.
Explore diverse domains such as regression, classification, NLP, computer vision, and recommendation systems.
Requirements
Basic Python & Machine Learning Required
Description
Welcome to the "5 Days 5 Machine Learning Projects From Scratch" course, a fast-paced, hands-on learning experience designed to take you from theory to practice in just five days! This course is perfect for aspiring data scientists, machine learning enthusiasts, and professionals who want to enhance their portfolio with real-world projects.Each day focuses on building a fully functional machine learning project from scratch, covering various domains and techniques to give you a well-rounded experience. By the end of this course, you'll have completed five diverse projects, gaining invaluable skills in data preprocessing, model building, evaluation, and deployment. This course emphasizes practical skills, critical thinking, and hands-on implementation to ensure you're job-ready.What You'll Builday 1: Create Project Using Natural Language Processing.Day 2: Create Project Using logistic regression and neural networks.Day 3: Create Project Using Naive Bayes classification.Day 4: Create Project Using Medical Image Prediction.Day 5: Create Project For Ad Click Through Prediction.Whether you're a student, professional, or self-taught learner, this course equips you with the knowledge and confidence to tackle real-world machine learning problems. Acquire skills to confidently implement machine learning solutions in real-world scenarios. Start your journey today and transform your passion for machine learning into tangible expertise!
Overview
Section 1: Introduction To Resume Analyzer Project For Machine Learning Job
Lecture 1 Introduction To Project
Lecture 2 Resume Class 1 : Import Packages
Lecture 3 Resume Class 2 : Import Dataset
Lecture 4 Resume Class 3 : Extract Text From Resume
Lecture 5 Resume Class 4 : Tokenization
Lecture 6 Resume Class 5 : Match Keywords & Skills
Lecture 7 Resume Class 6 : Analyze Resume Score & Conclusion
Section 2: Ecommerce Product Category Classification Using Machine Learning
Lecture 8 Introduction To Project
Lecture 9 Ecommerce Class 1 : Import Packages
Lecture 10 Ecommerce Class 2 : Import Dataset
Lecture 11 Ecommerce Class 3 : Data Preprocessing
Lecture 12 Ecommerce Class 4 : Train Dataset Using Logistic Regression
Lecture 13 Ecommerce Class 5 : Output & Conclusion
Section 3: Emotion Detection From Text Using Natural Language Processing
Lecture 14 Introduction To Project
Lecture 15 Emotion Class 1 : Import Packages
Lecture 16 Emotion Class 2 : Import Dataset
Lecture 17 Emotion Class 3 : Dataset Preprocessing
Lecture 18 Emotion Class 4 : Train Dataset Using Naive Bayes
Lecture 19 Emotion Class 5 : Output & Conclusion
Section 4: AD Click Prediction Project Using Machine Learning
Lecture 20 Introduction To Project
Lecture 21 AD Class 1 : Import Packages
Lecture 22 AD Class 2 : Import Dataset
Lecture 23 AD Class 3 : Dataset Preprocessing
Lecture 24 AD Class 4 : Train Dataset Using Regression
Lecture 25 AD Class 5 : Output & Conclusion
Section 5: Diabetes Prediction Project Using Machine Learning
Lecture 26 Introduction To Project
Lecture 27 Diabetes Class 1 : Import Packages
Lecture 28 Diabetes Class 2 : Import Dataset
Lecture 29 Diabetes Class 3 : Data Preprocessing
Lecture 30 Diabetes Class 4 : Train Dataset
Lecture 31 Diabetes Class 5 : Output & Conclusion
Students,Python & Machine Learning Coders
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Vlsi Design And Verilog Programming: From Basics To Advanced



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.92 GB | Duration: 7h 54m

Master the fundamentals of VLSI design and dive deep into Verilog programming to bring digital designs to life!


What you'll learn
Fundamental concepts of VLSI and MOSFET operations.
Practical methodologies for VLSI design and chip development.
Digital logic design, including combinational and sequential circuits.
State machine design and sequence detection.
Basics to advanced programming in Verilog.
Real-world applications of hardware description languages (HDLs).
Requirements
Basic understanding of electronics and circuits. Familiarity with digital logic fundamentals is helpful but not mandatory. Enthusiasm to learn and experiment with VLSI design concepts.
Description
Course Introduction:VLSI (Very Large Scale Integration) is at the heart of modern electronics. This course provides an end-to-end understanding of VLSI design concepts, from MOSFET operations to advanced Verilog programming techniques. Whether you're a beginner seeking to understand the basics or a professional looking to expand your skills, this course offers detailed insights into the principles, design methodologies, and practical applications of VLSI systems and Verilog. Step into the world of digital logic design, state machines, and hardware description languages, and prepare to build robust and scalable electronic designs.Section 1: Fundamentals of VLSI and MOSFETsThis section introduces the basics of VLSI design and the operation of NMOS transistors. Students will gain an understanding of the fundamental building blocks of VLSI systems, focusing on how MOSFETs function and their role in electronic circuit design.Section 2: Enhancing MOSFET OperationsDelve into the enhancement mode of MOSFETs and explore their operating characteristics in depth. Learn practical methodologies that govern their behavior and application in real-world scenarios.Section 3: Exploring VLSI Design DomainsDiscover the diverse domains within VLSI, including logic design, analog design, design verification, and physical design. This section also introduces advanced topics such as DFT (Design for Testability), AMS (Analog Mixed Signal), and physical verification processes, ending with a comprehensive overview of chip design steps.Section 4: Fundamentals of Digital Logic DesignThis section covers digital logic design, starting with basic and universal gates, progressing to CMOS logic, combinational and sequential circuits, and concluding with practical examples like the full adder design.Section 5: Advanced Digital Logic DesignBuilding on the basics, this section focuses on sequential circuit components like SR latches and T flip-flops, introduces programmable logic devices, and explores FPGA fundamentals. Students will develop a solid foundation in digital system design.Section 6: State Machines and Sequence DetectorsLearn about state machines, including Moore and Mealy models, and their application in detecting sequences. This section emphasizes real-world use cases to illustrate the utility of finite state machines (FSMs).Section 7: Introduction to Verilog ProgrammingStep into hardware description languages with Verilog. This section introduces Verilog's features, design styles, syntax basics, and the use of identifiers and numeric representations in digital designs.Section 8: Verilog Modules and Data StructuresUnderstand the structure of Verilog modules and explore key concepts like strings, registers, and memory elements. Learn to code practical digital components like D flip-flops and ripple carry counters in Verilog.Section 9: Operators and Timing in VerilogMaster Verilog operators and timing controls, including delay-based and event-based mechanisms. This section includes examples of procedural blocks, conditional statements, and timing intricacies in Verilog designs.Section 10: Advanced Verilog ProgrammingExplore advanced Verilog topics, such as looping statements, blocking and non-blocking assignments, and RTL design examples. This section culminates in a comprehensive wrap-up of Verilog's application in real-world digital systems.Conclusion:This course bridges the gap between theory and practice in VLSI and Verilog programming. By the end, students will have a comprehensive understanding of digital design principles and hands-on experience with Verilog, preparing them to tackle real-world challenges in electronics and embedded systems.
Overview
Section 1: Mosfet Introduction and Nmos Operation
Lecture 1 Vlsi Introduction Part 1
Lecture 2 Vlsi Introduction Part 2
Section 2: Practical Terminology and Methodologies
Lecture 3 Enhancement Mode
Lecture 4 Enhancement Mode and Part 2 Continued Part 1
Lecture 5 Enhancement Mode and Part 2 Continued Part 2
Section 3: Various Domains In Vlsi
Lecture 6 Logic Design and Analog Design
Lecture 7 Design Verification and Physical Design
Lecture 8 Dft, Ams and Physical Verification Part 1
Lecture 9 Dft, Ams and Physical Verification Part 2
Lecture 10 Chip Design Steps
Section 4: Digital Logic Design Overview
Lecture 11 Basic Gates
Lecture 12 Universal Gates, Cmos N and Part 1
Lecture 13 Universal Gates, Cmos N and Part 2
Lecture 14 Nor Cmos Equivalent
Lecture 15 Combinational and Sequential Circuits Full Adder Example Part 1
Lecture 16 Combinational and Sequential Circuits Full Adder Example Part 2
Section 5: Digital Logic Design Overview
Lecture 17 Sr Latch, Tff Down Counter Part 1
Lecture 18 Sr Latch, Tff Down Counter Part 2
Lecture 19 Tff, Programmable Logic Intro Part 1
Lecture 20 Tff, Programmable Logic Intro Part 2
Lecture 21 Pla and Pal
Lecture 22 Fpga Intro and Features Part 1
Lecture 23 Fpga Intro and Features Part 2
Section 6: Digital Logic Design Overview
Lecture 24 State Machine Introduction Part 1
Lecture 25 State Machine Introduction Part 2
Lecture 26 State Machine Example Moore Model Part 1
Lecture 27 State Machine Example Moore Model Part 2
Lecture 28 Fsm To Detect Sequences Examples Part 1
Lecture 29 Fsm To Detect Sequences Examples Part 2
Lecture 30 End Of Digital Logic, Introduction To Verilog
Section 7: Introduction To Verilog Programming
Lecture 31 Verilog Features, Design Styles
Lecture 32 Basics, Identifiers in Verilog
Lecture 33 Numbers in Verilog
Section 8: Strings and Module Structure In Verilog Programming
Lecture 34 Strings, Registers, Data Types Part 1
Lecture 35 Strings, Registers, Data Types Part 2
Lecture 36 Time, Memories, Module Intro
Lecture 37 Module Structure, Dflip Flop Verilog Code Part 1
Lecture 38 Module Structure, Dflip Flop Verilog Code Part 2
Lecture 39 Tflip,Flop, Ripple Carry Counter Part 1
Lecture 40 Tflip,Flop, Ripple Carry Counter Part 2
Section 9: Operators In Verilog Programming
Lecture 41 Basic Gates Instantiation
Lecture 42 Verilog Operators Part 1
Lecture 43 Verilog Operators Part 2
Lecture 44 Operators Contd
Lecture 45 Timing Control In Verilog-Delay Based
Lecture 46 Delay Based Intra-Assign
Section 10: Event Based and Looping Statement In Verilog Programming
Lecture 47 Event Based Timing Control Part 1
Lecture 48 Event Based Timing Control Part 2
Lecture 49 Procedural Blocks In Verilog Part 1
Lecture 50 Procedural Blocks In Verilog Part 2
Lecture 51 Blocking-Non Blocking,Conditional Statements
Lecture 52 Looping Statements and Rtl Example, Conclusion Part 1
Lecture 53 Looping Statements and Rtl Example, Conclusion Part 2
Electronics engineering students exploring VLSI design.,Professionals in semiconductor and embedded systems industries.,Beginners keen to understand hardware description languages like Verilog.,Hobbyists aiming to create scalable and functional digital designs.
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Us Gaap Asc 820 Fair Value Measurement



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.05 GB | Duration: 1h 10m

US GAAP ASC 820: A Guide to Fair Value Measurement


What you'll learn
 Introduction to Fair Value Measurement
 Valuation Techniques
 Fair Value Measurement of Liability
 Fair Value Option
 Credit Losses for Financial Instruments Measured at Amortized Cost
Requirements
Accounting background would be desirable, but not a must
Description
US GAAP ASC 820: A Guide to Fair Value MeasurementUnlock the complexities of Fair Value Measurement under US GAAP ASC 820 with this comprehensive course. Designed for accounting and finance professionals, this course provides a clear understanding of key concepts such as valuation techniques, fair value measurement of liabilities, and credit losses for financial instruments measured at amortized cost. Learn the essential principles and applications of ASC 820 to enhance your financial reporting skills and ensure compliance with current standards.What You'll LearnIntroduction to Fair Value Measurement under ASC 820.Different valuation techniques including market, income, and cost approaches.How to measure liabilities at fair value and understand the key differences between asset and liability measurement.The Fair Value Option and how it impacts assets and liabilities.Understanding credit losses for financial instruments measured at amortized cost.Explore Related TopicsAccounting | Financial Reporting | Finance | ValuationCourse Content OverviewVideo 1: US GAAP ASC 820 OverviewIn this introductory video, we'll explore the fundamentals of ASC 820, focusing on definitions, the fair value measurement of assets and liabilities, and how valuation techniques are applied under US GAAP.Video 2: DefinitionsLearn key concepts such as Fair Value, Market Participants, Transaction Costs, and their application to both assets and liabilities.Video 3: Valuation TechniquesUnderstand the three main approaches to valuation:Market ApproachIncome ApproachCost ApproachExplore how inputs and the fair value hierarchy influence these methods.Video 4: Fair Value Measurement of LiabilityExamine the unique aspects of measuring liabilities at fair value, including the key differences between asset and liability measurement.Video 5: Fair Value OptionExplore the Fair Value Option, its effects on assets and liabilities, and the disclosures required under this option.Video 6: Credit Loss for Financial Instruments Measured at Amortized CostLearn how to account for credit losses on financial instruments, including the process and impact on financial statements.
Overview
Section 1: Introduction
Lecture 1 US GAAP ASC 820 - Overview
Section 2: Definitions
Lecture 2 Definitions
Section 3: Valuation Techniques
Lecture 3 Valuation Techniques
Section 4: Fair Value Measurement of Liability
Lecture 4 Fair Value Measurement of Liability
Section 5: Fair Value Option
Lecture 5 Fair Value Option
Section 6: Credit Loss for Financial Instruments Measured at Amortized Cost
Lecture 6 Credit Loss for Financial Instruments Measured at Amortized Cost
This course is intended for working professionals as well as students who wish to gain an understanding of US GAAP
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Unit Testing in Angular



Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 55m | Size: 1.35 GB

Master Angular Unit Testing : From Testing Async Operations, Lifecycle Hooks to services, pipes and directives


What you'll learn
Master Unit Testing in Angular : Students will learn how to write, run, and maintain unit tests for Angular components, services, and pipes.
Effectively Test Asynchronous Code : Learners will understand how to test asynchronous operations, including HTTP requests, Observables and Promises.
Learn to test real world angular application using JASMINE and KARMA.
Student will learn how to do test coverage, mock dependencies and eventually write better code.
Requirements
Basic Understanding of Angular
Basic JavaScript or TypeScript Knowledge
Description
Unlock the full potential of Angular Unit testing with this comprehensive course focused on Advanced Component Testing. Designed for developers who want to build reliable, maintainable, and well-tested Angular applications, this course dives deep into unit testing, dependency injection, async testing, component lifecycle hooks, and more.Throughout the course, you'll learn step-by-step how to set up testing environments, mock services, and test complex components that interact with services and handle asynchronous operations. We'll explore hands-on scenarios to help you understand how to test each component thoroughly, ensuring high code quality and performance. By the end of this course, you'll be fully equipped to write robust test cases for your Angular applications, enabling you to detect issues early and improve development efficiency.Key Topics Covered in this course are:Testing Components with Dependency Injection: Learn how to test components that rely on services, using mock services and testing their interactions.Async Operations: Dive into testing components with asynchronous behavior, including setTimeout functions and async calls.Lifecycle Hooks: Master testing for lifecycle hooks like ngOnInit and ngOnDestroy, ideal for components with initialization logic.Custom Directives and Pipes: Understand how to test custom directives and pipes to enhance the user interface and streamline your code.
Who this course is for
Angular Developers Looking to Master Testing
Anyone Looking to Build Robust Angular Applications
All developers looking to learn unit testing
Homepage:

Understanding Business Research - A Fundamental Guide



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.03 GB | Duration: 6h 48m

Your Comprehensive Guide to Mastering Business Research Fundamentals


What you'll learn
Understand the Role of Research in Business
Develop Research Questions and Proposals
Conduct Comprehensive Literature Reviews
Design Effective Research Studies
Master Data Collection Techniques
Implement Sampling Strategies
Requirements
An Interest in Research and Problem-Solving
Basic Computer Skills
Access to Research Tools
Description
Based on the foundational principles outlined in Uma Sekaran's acclaimed book on research methods, Mastering Business Research Methods provides a step-by-step approach to conducting meaningful and impactful research in a business context.This course offers a balanced combination of theoretical frameworks and practical applications, guiding you through the entire research process. From understanding the basics of research design to mastering data collection and analysis techniques, you'll gain the skills needed to make informed business decisions and solve real-world problems effectively.Key highlights include:Understanding Business Research: Explore the significance of research in solving managerial problems, improving decision-making, and driving organizational success. Learn how to connect research questions to business challenges.Defining Research Problems: Develop clarity and precision in problem formulation, ensuring a solid foundation for effective research.Literature Review and Theoretical Frameworks: Learn how to critically evaluate existing studies, identify gaps, and build robust theoretical frameworks to guide your research.Research Design: Understand different types of research designs, including exploratory, descriptive, and causal studies, to suit various business contexts.Data Collection Methods: Gain expertise in qualitative methods like interviews and focus groups, and quantitative techniques such as surveys and observation, ensuring comprehensive data gathering.Sampling Techniques: Learn about probability and non-probability sampling methods to ensure your research findings are representative and reliable.Data Analysis and Interpretation: Master statistical tools and techniques for analyzing data, including descriptive and inferential statistics, to draw meaningful conclusions.Writing and Presenting Research Reports: Develop the skills to create professional and impactful research reports, ensuring your findings drive actionable insights.By following the structured approach outlined in this course, you'll gain the ability to tackle complex business challenges with confidence, aligning your research with the principles of Research methodology. Whether you're a manager, student, or aspiring researcher, this course will empower you to approach business problems strategically and scientifically, making a lasting impact in your field.
Overview
Section 1: Introduction
Lecture 1 Instructor Introduction
Lecture 2 What is Research?
Lecture 3 Nature of Business Research
Section 2: Research Idea Generation
Lecture 4 Generation of Research Ideas
Lecture 5 Refining Research Ideas
Lecture 6 Attributes of Good Research Idea
Lecture 7 Research Idea to Prioject
Lecture 8 Writing Research Proposal
Section 3: Literature Review
Lecture 9 Defining Literature Scope
Lecture 10 Purpose of Literatuer Review
Lecture 11 Defining Literature Scope
Lecture 12 Searching Relevant Literature
Lecture 13 Searching Web of Scineces
Lecture 14 Understanding Research Variables
Lecture 15 Conceptual Framework in Research
Lecture 16 Difference Between Conceptual-Theoritical Fwrk
Lecture 17 Understanding Theory
Lecture 18 Article Summary Table
Lecture 19 Synthesizing Literature
Section 4: Research Design
Lecture 20 Overview of Research Design
Lecture 21 Purpose of Study
Lecture 22 Research Study Settings
Lecture 23 Researcher Interference
Lecture 24 Time Horizon
Lecture 25 Types of Investigation
Lecture 26 Unit of Analysis
Section 5: Experimental Design
Lecture 27 Introduction of Experimental Design
Lecture 28 Types of Experimental Designs
Lecture 29 Field and Simulation Studies
Lecture 30 Validity Concerns in Experimental Design
Lecture 31 Ethical Issues
Section 6: Samplng in Research
Lecture 32 Understanding Sampling
Lecture 33 Probability Sampling
Lecture 34 Non-Proabability Sampling
Lecture 35 Sampling in Mixed Method Research
Lecture 36 Advance Sampling Methods
Lecture 37 Sampling Errors and Biases
Students and Academics,Aspiring Researchers,Entrepreneurs and Startups,Consultants and Strategists
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Ultimate YouTube Success Mastery Build Grow & Profit in 2025



Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 41m | Size: 3.27 GB

Learn to Create, Grow & Monetize Your YouTube Channel - From Setup to Success and improve SEO


What you'll learn
Complete YouTube Setup- Learn how to create a standout profile, youtube channel name, banner,viral thumbnails , thumbnail viral texts , descriptions , titles
Engaging Video Content - Generate trending, impactful video ideas for any niche with step by step watching me doing it practically. titles and and more.
Faceless Video Techniques - Create videos with or without voiceovers, perfect for camera-shy creators or anyone aiming to build a brand effortlessly.
Powerful Editing - Master audio editing with Audacity, design viral thumbnails, and use best free tools and sites to tap into trending topics for our youtube
Rapid Growth Strategies - Discover how to optimize for more views, subscribers, and YouTube monetization with real-world growth hacks.
From short-form videos such as Youtube shorts to long form videos to earning passive income, we'll cover it all.
Requirements
You just need laptop.
No experience ? No problem.
A passion for learning and creativity!
Description
Are you ready to transform your YouTube dreams into reality? Whether you're starting from scratch or looking to boost an existing channel, this course gives you every tool, strategy, and shortcut you need to grow, engage, and profit-all while staying completely hands-on and practical. In this comprehensive course, you'll master the art of creating faceless, high-impact videos, designing professional thumbnails, crafting click-worthy titles, and optimizing your channel with SEO-friendly tags and descriptions. I'll guide you step-by-step through free tools like Canva, Photopea, VidIQ, and ChatGPT to make professional video content that stands out-no paid software needed!Here's what you'll unlock when you join:Complete YouTube Setup: Learn how to create a standout profile, youtube channel name, banner, viral thumbnails , thumbnail viral texts , descriptions , titles and "About" section and more that instantly grabs viewers.Engaging Video Content: Generate trending, impactful video ideas for any niche: with step by step watching me doing it practicallyFaceless Video Techniques: Create videos with or without voiceovers, perfect for camera-shy creators or anyone aiming to build a brand effortlessly.Powerful Editing : Master audio editing with Audacity, design viral thumbnails, and use best free tools and sites to tap into trending topics for our youtube content.Rapid Growth Strategies : Discover how to optimize for more views, subscribers, and YouTube monetization with real-world growth hacks. From short-form videos such as youtube shorts to long form videos to earning passive income, we'll cover it all.This course is perfect for beginners, professionals, entrepreneurs, educators, and creators of all kinds. No experience? No problem!Everything is taught in easy, practical steps-Each lesson is packed with real examples and demonstrations to keep it simple and achievable.Don't miss this chance to start and grow your YouTube channel with confidence!Click enroll now, and let's turn your passion into profit. Join today and take your first step toward YouTube success!
Who this course is for
This course is perfect for beginners, professionals, entrepreneurs, educators, and creators of all kinds.
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Udemy-How to Generate Marketing Leads with AI



Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 43m | Size: 1.12 GB

Leverage AI to Supercharge Your Lead Generation and Marketing Efforts


What you'll learn
The fundamentals of generative AI and its role in transforming marketing efforts
An overview of the most popular AI tools
How to use AI for competitor analysis and identifying target audiences
Techniques for creating AI-generated content for blogs, emails, and social media
How to build AI-powered lead magnets and optimize landing pages for conversions
The integration of AI-driven chatbots and email marketing to capture and nurture leads
How to leverage AI to create social media campaigns and influencer marketing strategies
Practical methods for measuring and optimizing marketing campaigns with AI analytics
Latest AI trends and tasks of the marketers in the AI era

Requirements
No prior experience with AI or marketing required

Description
Tired of chasing leads? Let AI do the work for you! This course is designed to teach you how to leverage the latest AI tools to drive lead generation, optimize your content, and improve your social media marketing efforts-all while saving time and maximizing your results.Whether you're a beginner or looking to refine your AI-driven marketing skills, this course offers easy-to-understand lessons and practical examples that will help you transform your marketing approach.What you'll learn in this course:Master AI-powered lead generation techniquesUse AI tools for competitor analysis and pinpoint your ideal target audienceCreate compelling AI-generated content for blogs, emails, and social mediaOptimize landing pages and lead magnets with AI-driven strategiesHarness AI-powered chatbots and email marketing for lead captureBoost your social media marketing with AI-powered content creation and advertisingMeasure and optimize your campaigns using AIWhat's included:Step-by-step lessons on integrating AI into your lead generation and marketing strategiesReal-life examples and actionable insights to make your learning process efficient and effectiveHands-on tutorials with AI tools such as GPT, Gemini, DALL-E, Midjourney, and other leading AI platformsLifetime access to all course materials, with updates as AI tools evolveThis course is perfect for:Marketers looking to integrate AI tools into their strategies for better lead generationBusiness owners eager to optimize their marketing efforts with AI-driven solutionsAnyone interested in leveraging AI to enhance their marketing productivity and creativityEnroll now and start learning how to generate more leads, create optimized content, and take your marketing campaigns to the next level. Don't miss out on the chance to unlock the power of AI in your marketing.Do you need to be concerned?Not at all! This course comes with a 30-day money-back guarantee. There's absolutely no risk in trying it out!Take the first step towards mastering AI-driven marketing today!

Who this course is for
Marketers looking to integrate AI tools into their strategies to improve lead generation
Small business owners wanting to leverage AI for efficient marketing and lead capture
Aspiring digital marketers aiming to stay ahead with the latest AI-driven tactics
Anyone wanting to enhance their digital marketing skills with AI technologies

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Traffic Forecasting with Python: LSTM & Graph Neural Network



Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 8m | Size: 244 MB

Python-driven traffic forecasting with Keras: LSTM and Graph Convolutional Networks for spatiotemporal data modeling


What you'll learn
Understand and analyze real-world traffic data using Python.
Implement and apply Graph Convolutional Networks (GCNs) for traffic data.
Combine LSTM networks with GCNs for time series forecasting.
Preprocess and normalize large datasets for machine learning.
Build, train, and evaluate predictive models using TensorFlow and Keras.
Visualize and interpret model results for traffic prediction.
Requirements
Basic proficiency in Python programming.
Access to a computer with an internet connection for coding and data analysis.
Description
This course offers an in-depth journey into the world of advanced time series forecasting, specifically tailored for traffic data analysis using Python. Throughout the course, learners will engage with the PeMSD7 dataset, a real-world traffic speed dataset, to develop predictive models that can forecast traffic conditions with high accuracy. The course focuses on integrating Long Short-Term Memory (LSTM) networks with Graph Convolutional Networks (GCNs), enabling learners to understand and apply cutting-edge techniques in spatiotemporal data analysis.Key topics include data preprocessing, feature engineering, model building, and evaluation, with hands-on coding in Python to solidify understanding. Learners will also gain practical experience in using popular libraries such as TensorFlow and Keras for deep learning applications.This course is ideal for those looking to advance their careers in data science, machine learning, or AI-driven industries. The practical skills acquired will be highly valuable for roles in smart city planning, transportation analysis, and any field that relies on predictive modeling. By the end of the course, learners will not only have a strong grasp of advanced forecasting techniques but will also be well-prepared for job opportunities in data science and related fields, where they can contribute to innovative solutions in traffic management and urban development.
Who this course is for
Data scientists and machine learning engineers interested in time series forecasting.
Python programmers looking to enhance their skills in deep learning and graph-based models.
Researchers and students in the fields of transportation, urban planning, or smart cities.
Professionals working with traffic data or other spatiotemporal datasets.
AI enthusiasts seeking to understand and implement advanced neural network architectures like LSTM and graph convolutional networks.
Individuals with a background in data analysis who want to apply machine learning to real-world datasets.
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Trading Meme Coins: How To Find Meme Coins Early



Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 11m | Size: 1.36 GB

How to Spot, Trade, and Launch Meme Coins Early: Learn Key Strategies for Success, Risk Management, and Avoiding Scams


What you'll learn
Identify Promising Solana Meme Coins: Learn how to spot early-stage meme coins on Solana and evaluate their potential for growth.
Understand Market Sentiment: Analyze social media and community trends to assess meme coin potential and market momentum.
Develop Trading Strategies: Create short-term and long-term trading strategies tailored to meme coins on Solana's fast blockchain.
Master Risk Management: Learn risk management techniques and develop exit strategies to maximize profits or minimize losses in volatile meme coin markets.
Requirements
Basic Understanding of Cryptocurrency: Familiarity with general crypto concepts and terms like wallets, exchanges, and tokens.
No Advanced Experience Required: Whether you're a beginner or have some trading experience, this course is suitable for all levels.
Desire to Learn and Experiment: An open mind and a willingness to test new strategies in the meme coin market.
Description
Are you ready to dive into the high-risk, high-reward world of meme coins? This course will teach you everything you need to know to discover, trade, and even launch your own meme coins. Whether you're a beginner or a more experienced trader looking to refine your strategies, this course has something for everyone.Here's what you'll learn:Spotting the Next Big Meme CoinLearn how to identify promising meme coins early by analyzing trends, social media buzz, and market sentiment.Launch Your Own Meme CoinFollow a step-by-step guide on how to create and launch your own meme coin, with insights into potential scams and the ease of this process.Advanced Trading TechniquesMaster tools and strategies like RSI, Fibonacci retracements, support and resistance levels to time your entries and exits effectively.Identifying ScamsUse advanced tools like Photon to detect scam coins, avoiding potential losses by evaluating top holders, bot activity, and suspicious wallet behavior.Risk and Reward ManagementLearn to manage your risk, calculate the right risk-to-reward ratio, and navigate the volatile meme coin market smartly.By the end of the course, you'll have the skills and confidence to trade meme coins and explore the market safely and profitably.
Who this course is for
This course is designed for cryptocurrency traders and investors interested in discovering and trading meme coins. Whether you're new to crypto or have some experience, you'll learn how to spot promising meme coins early and navigate this exciting market. If you're curious about how meme coins can fit into your portfolio and want to stay ahead of trends, this course will provide the tools and strategies you need to succeed in this dynamic space.
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