Creating a Photo Mosaic with Excel and Python

Python + xlwings Work Automation Course Summary 1. Basic Section: Excel Control Fundamentals Cell Handling / Format Application / Image & Chart Insertion 2. Application Section: Automation Scenarios Automatic Email Sending / Report Summary Automation (LLM) / Image Classification Tasks (Teachable Machine)

Let's visually learn the principles of deep learning using Excel.

Implement Deep Learning Basics in Excel for Deeper Understanding!

Why this course is special: Key Advantages • Intuitive Visualization: Directly observe algorithm operations in real-time with Pygame 2D simulations • Practical Implementation Experience: Go beyond theory and internalize autonomous driving algorithms by coding directly • Master Core Algorithms: Focused learning of essential algorithms such as Dijkstra, Pure Pursuit, ICP, etc. • Step-by-step Advanced Learning: Systematic difficulty progression from basics to SLAM • Lidar-based SLAM: Practical map building and localization in unknown environments

Deep learning is a technology that learns data through neural networks composed of combinations of complex functions. In this lecture, we will mathematically understand the core concepts of deep learning and analyze them from the perspective of matrix operations. In particular, utilizing Python's NumPy library, we will visually examine how parameters are updated by directly implementing the forward and backward propagation processes of deep learning. Even the seemingly complex neural network structure becomes clear when analyzed with matrix operations. This lecture focuses more on understanding concepts than coding and is suitable for students who wish to intuitively grasp the principles of deep learning mathematically.

Implementing deep learning basics with Excel to deeply understand their meaning! Learn how image data is processed!

Let's implement a deep learning framework directly with Excel! Let's solve supervised learning/unsupervised learning/reinforcement learning with the implemented framework!

Deeply understand deep learning basics by implementing in Excel!

Pre-Trained Model (VGG16) / CAM / Grad-CAM / YOLO / STYLE TRANSFER / PIX2PIX / CYCLEGAN Implementing Stable Diffusion Directly

Hot image generation model! Let's understand it by implementing it from the basics! Let's implement AUTO ENCODER / VAE / GAN / DIFFUSION together!

This course is a hands-on masterclass that completely dissects the core technological evolution of generative AI, from LDM (Latent Diffusion Model) to DiT (Diffusion Transformer). We directly analyze the latent space-based learning principles of LDM, the structure of Stable Diffusion, and the implementation methods of the latest Diffusion Transformer through papers and code. Students will systematically learn the latest trends and structural evolution of generative models by directly implementing LDM, CFG (Classifier-Free Guidance), and DiT models using PyTorch.

Hot image generation model! Let's understand it by implementing it from the basics! Let's implement AUTO ENCODER / VAE / GAN / DIFFUSION together!

Easy, Usable Computer Vision Projects: Step-by-step learning of practical CV projects. Boost skill with real examples.

1. Learn the main functions of Excel so you can create documents easily and quickly. 2. Learn tips commonly used in practice.

Have you ever felt itchy and stuffy whenever you created a function in Excel? If so, solve it with this course that covers everything from A to Z about functions!

This course covers practical MS Word tips that can be immediately applied in the workplace. Beyond simple document creation functions, it provides various practical know-how to enable efficient and professional document work. You can learn practical skills that will increase work efficiency, such as document editing, formatting, paragraph and table utilization that are frequently encountered in the workplace.

We implement the latest Transformer-based PixArt and lightweight adaptation SANA step by step from theory to code. Building on DDPM·DDIM·LDM·DiT covered in Parts I·II, we complete hands-on practice including text encoder integration, samplers (DDIM/ODE), v-prediction/CFG tuning, and small-scale data style fine-tuning.

The 🔥 HOT recruitment keyword in the digital transformation era, "digital competency", is what Masocampus has prepared! A gem-like lecture that will help you develop data-based performance improvement capabilities using only Excel 🎁 (After taking the course, become a key talent for your company 😉)

You still haven't started studying data analysis...? Are you... what? 😦 Now, data analysis is not a choice but a necessity! Master data analysis with Masocampus lectures and live a new life!

You know the importance of 🔥Big Data🔥 in your business, but you gave up on data analysis tools with difficult names like Python, R, SQL... before you even started? Don't worry anymore 😉 A beginner's course that teaches anyone how to analyze data and discover valuable insights using Excel, which is highly accessible!🎁

Analyzing customers, markets, and revenue patterns—you no longer need to learn it yourself. Just ask AI, and expert-level analysis and strategies are completed in an instant!

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

This course conducts hands-on practice related to Diffusion models among generative artificial intelligence models. By reading and implementing the prompt-to-prompt paper, which is a representative Diffusion model application paper, we expect to cultivate the ability to understand the latest artificial intelligence papers.

When researching AI or conducting a project using it, basic paper implementation is essential. Let's upgrade our practical skills by implementing an actual paper through this lecture!

A class on analyzing customer/sales data with Excel, even without R or Python!

Python + xlwings Work Automation Course Summary 1. Basic Section: Excel Control Fundamentals Cell Handling / Format Application / Image & Chart Insertion 2. Application Section: Automation Scenarios Automatic Email Sending / Report Summary Automation (LLM) / Image Classification Tasks (Teachable Machine)

Through this course, learners can develop the ability to obtain a Computer Application Skills certification. This course is structured according to the examination standards as a preparation course for acquiring the Computer Application Skills certification. You can learn and apply basic knowledge of Computer Application Skills subjects to prepare for certification acquisition. (Computer Application Skills Level 1 & 2 Written Exam - Spreadsheet General)

AI Excel that automates perfectly for your work without company security concerns. From data preprocessing to visualization in just a few minutes, no coding knowledge required!

We introduce basic usage and examples for handling Areumhangeul with Python. Let's quickly understand with text and GIFs, and learn the basics of Areumhangeul automation enjoyably by following along with video tutorials.

Covers how to properly use the new game-changer "ChatGPT" for "Excel utilization." You can learn to create Excel formulas for practical use, easily grasp Excel functions, and write macros and VBA code using ChatGPT.