LSTM and XGBoost Basics Tutoring

@areebat90

Hello, I' d be excited to help you build a clear, intuitive, and numerical understanding of both LSTM and XGBoost for time series prediction. Since you already have a foundation in linear algebra and calculus, I’ll start from the basics and gradually move into the step-by-step details, ensuring every concept feels natural. Here’s how I’ll approach it: --> Excel (XLSX): Create detailed numerical walkthroughs for both LSTM (gates, cell state, hidden state updates) and XGBoost (gradients, Hessians, weight updates, prediction corrections). Each step will be annotated with explanations so you can trace the math flow clearly. --> PowerPoint (PPTX): Design beginner-friendly slides with diagrams, flowcharts, and simplified visuals that explain the concepts before diving into equations. This way, you’ll always see the big picture. --> Optional Walkthrough: Provide a short recorded explanation (or a written script) walking through the slides and Excel so you have a guided reference while studying. By the end, you’ll have: ✔ A step-by-step Excel workbook showing the math mechanics. ✔ Engaging slides with visuals to connect intuition with formulas. ✔ A guided explanation that makes everything easy to review. Looking forward to helping you gain deep clarity and confidence with LSTM and XGBoost! Best regards, Areeba Tahir

@ashrafsbai6655

Hi there, I checked your requirements and guarantee you that i have relevant experience in Python,AI and data science it's gonna be done within the highest quality . Let's contact via chat so that I can start work immediately

@koolvishruth

Hi, I am Machine learning engineering with 7 years of experience.I can provide excel + PPT with clear explanation as mentioned. Let's connect

@Feriver

Hello, I understand you’re looking for beginner-friendly tutoring on LSTM and XGBoost for time series prediction, starting from the basics and building up to advanced concepts. I specialize in explaining complex machine learning algorithms in clear, intuitive ways, bridging the gap between theory and hands-on calculations. My approach would provide a step-by-step numerical breakdown of LSTM forward passes—including gates, cell state, and hidden state—and XGBoost training iterations with gradients, Hessians, leaf weights, and prediction updates. Each step will be annotated in Excel for easy tracking of the math flow. Additionally, I will create engaging PowerPoint slides with visual diagrams, flowcharts, and structured explanations that highlight the big picture before diving into details. These slides will complement the Excel workbook to reinforce understanding and ensure you can follow the computations intuitively. Optional voice or text walkthroughs can be included to guide you through the materials for a smoother learning experience. The deliverables will be organized, clear, and designed for an entry-level audience, giving you both conceptual and numerical insight into how LSTM and XGBoost function. By the end of this project, you will gain a solid foundation to confidently implement and analyze these algorithms in practice, supported by hands-on exercises and visually engaging instructional content. Thanks, Asif

@elhadfi

I'm an AI/ML engineer with a strong background in teaching complex concepts simply. I propose to create an Excel file that clearly breaks down the LSTM forward pass and XGBoost training iterations, with detailed annotations for each step. Additionally, I will design engaging PowerPoint slides that not only explain these algorithms but also include visual aids to reinforce understanding. A short recorded walkthrough can be included to further enhance your learning experience. Please check my profile and reviews.

@gracew20

Hello! As a biostatistician with an extensive background in data analysis and machine learning, I am confident in my ability to teach you the intricacies of LSTM and XGBoost for time series forecasting. I understand the challenges faced by beginners, which is why my tutoring style always starts with laying a strong foundation of concepts before building up to more advanced topics. My expertise in Excel and PowerPoint allows me to produce deliverables that are not only comprehensive but also easy to understand. The Excel file and PowerPoint slides I'll provide will spell out step-by-step calculations and carry ample comments, enabling you to follow the math flow effortlessly. Moreover, I believe that an engaging visualization is key for better understanding, so your slides will be accompanied by visual diagrams and flowcharts, elucidating the algorithmic functions. Finally, I'm aware that everyone learns differently. Hence, as an optional yet highly preferred component, I can provide a recorded walkthrough of the slides and Excel files - either through voice or text-based scripts - to ensure you have all the support you need. Ultimately, my goal is to arm you with not just theoretical knowledge but a clear understanding of how LSTM and XGBoost work from start to finish. With me as your tutor, your journey into these algorithms will be smooth and rewarding. So why wait? Let's embark on this educational venture together!

@FreeLancers360

As an experienced data analyst with a strong background in machine learning and a penchant for teaching, I am confident in my ability to explain even the most complex concepts in a simple and graspable manner. My team of three, which includes web development expertise alongside proficiency in various languages like HTML, CSS, JavaScript, Node.js, React.js, PHP and Laravel, also ensures that we can create engaging PowerPoint presentations that combine visual design with explanatory flowcharts. Additionally, our skills extend beyond just presenting information – we value the practical application of knowledge. I can not only provide numeric step-by-step calculations in Excel for the LSTM and XGBoost algorithms but also annotate them clearly to facilitate easy comprehension. With your comfort level in mind, I always structure my tutorials starting from the basics before building up to more advanced parts, making sure you have a solid foundation to understand the big picture well. I believe that visualization is key to understanding any complex concept; thus we take this into account when preparing engaging !

@adisonw

How do you do? I understand you want to learn LSTM and XGBoost for time series prediction in a clear, step-by-step manner, starting from the basics. My goal will be to make these algorithms intuitive and numerical, with both visual and practical explanations suitable for a fresh graduate. I will create an Excel file showing detailed numerical calculations for LSTM forward passes (gates, cell states, hidden states) and XGBoost training iterations (gradients, Hessians, leaf weights, prediction updates), with comments for every step. Additionally, I will prepare PowerPoint slides with beginner-friendly explanations, diagrams, and flowcharts to illustrate the concepts and show the big picture before diving into details. Optionally, I can provide a short walkthrough (voice or script) explaining the slides and Excel calculations. I have strong experience teaching machine learning concepts, creating step-by-step learning materials, and presenting complex algorithms in an accessible way. My focus will be on clarity, engagement, and building an intuitive understanding so you can confidently apply LSTM and XGBoost in practice. Would you like me to start with time series examples in Excel for immediate hands-on understanding, or focus first on conceptual diagrams in the slides? Warm regards. Adison W

@dhanrajsharma176

As a seasoned Content Writer and QMS Specialist with strong expertise in Excel, PowerPoint, and ISO-based documentation, I excel at simplifying complex concepts into clear, structured learning materials. My background in technical writing, process documentation, and quality standards enables me to create content that is both precise and approachable. I specialize in tailoring explanations to different learning needs, delivering error-free, engaging materials supported with visuals and step-by-step clarity. From designing QMS manuals to process flows, I ensure content is well-organized, easy to grasp, and pedagogically effective. For our tutoring sessions, I bring this same approach—helping you build a seamless understanding of core topics such as linear algebra, calculus, and their progression toward advanced applications like time series forecasting. I will break down LSTM and XGBoost through comprehensive slides, forward-pass demonstrations, coding examples, and annotated walkthroughs for deeper clarity. Whether through text, visuals, or recorded sessions, my goal is to ensure you gain not just theoretical understanding but also the confidence to apply these concepts effectively. Together, we can create impactful, learner-focused content that makes mastering even the most technical topics an engaging process.

@mhhasibuzzaman

Hi, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Excel, Powerpoint, Machine Learning (ML), Mathematics, Data Science, Data Analysis Lets connect in chat so that We discuss further. Thank You

@CreativeVWriter

Hi Kusuma D. We would like to grab this opportunity and will work till you get 100% satisfied with our work. We are an expert team which have many years of experience on Excel, Powerpoint, Machine Learning (ML), Mathematics, Data Science, Data Analysis Please come over chat and discuss your requirement in a detailed way. Thank You

@RabailFarrukh

Dear Hiring Manager, I am excited about the opportunity to assist you in mastering LSTM and XGBoost for time series prediction. With a strong background in Machine Learning and a knack for simplifying complex concepts, I am well-equipped to guide you through the basics to advanced aspects of these algorithms. My deliverables will include a meticulously annotated Excel file showcasing step-by-step calculations and engaging PowerPoint slides with visual aids to enhance your understanding. I aim to provide a clear and intuitive learning experience, ensuring that you grasp the intricacies of LSTM and XGBoost effectively. Let's collaborate to empower your knowledge and skills in this domain. Looking forward to the possibility of working together. Best regards,

@vasylm2025

Hi, I’d love to help you build a solid, intuitive understanding of LSTM and XGBoost—starting from first principles and growing to full, working intuition. I’ve taught ML to beginners and built production models with PyTorch/XGBoost, and I’m comfortable turning the math into simple visuals and spreadsheet calculations. How I’ll deliver your goals Excel workbook (XLSX): Separate tabs for LSTM (inputs → gates → cell/hidden updates → output) with every step shown as a formula and clearly annotated. XGBoost tab showing one training iteration end-to-end: gradients, Hessians, split gain intuition, leaf weights, and prediction updates—all visible and traceable. PowerPoint (PPTX): Beginner-friendly slides with clean diagrams/flowcharts: what problem each model solves, the “big picture” flow, then step-by-step mechanics, plus quick parameter cheat sheets and common pitfalls. Walkthrough (optional): A short voice or text script guiding you through the Excel and slides so you can review at your own pace. You’ll receive organized files, clear annotations, consistent formatting, and placeholders where useful—so everything is easy to follow and reuse. If you prefer, I can use your dataset or a small public time-series to keep the examples concrete. If this approach fits what you’re looking for, I’m ready to get started. Best regards

@francoiss77

I am a perfect fit for your project as I excel in simplifying complex concepts. I will create a clean Excel file with annotated calculations for LSTM and XGBoost, as well as engaging PowerPoint slides with visual diagrams. While I am new to Freelancer, I have extensive off-site experience. I would love to chat more about your project! Regards, Francois Snyman

@premprakash2002

Hello, I specialize in simplifying complex ML concepts. I will deliver clear Excel step-by-step calculations (LSTM & XGBoost) and engaging PowerPoint slides with visuals, ensuring you gain both intuitive and numerical understanding. A walkthrough can also be provided for smooth learning.

@ivanruslanl

Hi brother, I've read the problem you mentioned here CAREFULLY. I sincerely admire your passion for learning and promise to do my best to help you. I’ll keep the files tidy, and easy to tweak, and include a concise walkthrough so you can review at your own speed. Let’s create the future of your project. Your success is my pride! Ruslan Lata

@abdf2010

Hello, I liked your project LSTM and XGBoost Basics Tutoring, which aligns perfectly with my professional expertise. I bring extensive experience in Excel, Powerpoint, Machine Learning (ML), I can ensure timely delivery within 3 days. I'm committed to exceeding your expectations and would welcome the opportunity to discuss your requirements in detail.