📓 4월 알고리즘 스터디

Snippets of nlp frameworks

📊 A practical toolkit for feature engineering and selection in Python. Explore EDA, handle missing data and outliers, scale/encode/transform features, discretize, and select via filter, wrapper, embedded, shuffling, and hybrid methods. Comes with datasets, clean notebooks, reusable utils, and clear visuals for fast, reproducible ML. Workflows.

🔍 Use a pretrained YOLOv11 model for efficient image object detection, enabling quick comparison of original images and model outputs.

This repository demonstrates how to use a pretrained YOLOv11 model from the Ultralytics library for image-based object detection.

This GitHub repository has latest AI research paper implementations in Kaggle notebooks on deep learning, computer vision, NLP, and reinforcement learning. Updated regularly with brief summaries and code snippets, it offers a browsing option by topic, paper title, or author for easy access. Suitable for those looking to deepen their understanding.