Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to cleaning ingredients (handling missing values, standardization) Model ...
IEEE

A Novel Motor Imagery EEG Decoding Approach via Sparse Latent-Space Regression With Multi-Norm Regularization

Abstract: Motor imagery (MI) electroencephalography (EEG) has shown significant potential in consumer electronics (CE) applications enabled by brain–computer interfaces (BCIs); however, current ...
NBC Sports

Jameson Williams, Omarion Hampton, Jayden Reed headline Week 2’s Regression Files

The goal of this regression-centric space is to tell fantasy football folks which of their borderline fantasy options are running particularly hot or particularly cold, to use a little technical ...
GitHub

pH-7/Python-GLM-ML-Pipeline

. ├── app/ # FastAPI application ├── train/ # Training scripts ├── assets/images/ # Images, diagrams ├── requirements.txt # Python dependencies ├── Dockerfile ├── .env.dist # Sample environment ...
GitHub

OpenData4Sciece/glm-learning-project

Pierre-Henry Soria — An Extremely Passionate Data Scientist who loves automating content creation efficiently with meaningful data! Also a true roquefort 🧀, ristretto ☕️, and dark chocolate lover! 😋 ...
IEEE

Reinforcement Learning With Sparse-Executing Action via Sparsity Regularization

Abstract: Reinforcement learning (RL) has demonstrated impressive performance in decision-making tasks like embodied control, autonomous driving, and financial trading. In many decision-making tasks, ...