BIOENGINEER

Structured Python Framework Guides Nonprogramming Engineers Through Core Machine Learning Models

A comprehensive Python tutorial outlines an end-to-end framework enabling engineers without programming expertise to ...
GitHub

machine-learning-practice

This repository contains study materials in the form of presentations (and Python codes) to various Machine Learning techniques and also contains some sample data to practice these algorithms ...
BIOENGINEER

Intelligent Undersampling Algorithm Enhances Machine Learning Accuracy on Imbalanced Data

Computer scientists have developed an intelligent undersampling framework that combines density-aware boundary selection with ...
FinanceFeeds

Building a Price Prediction Model in Python: A Step-by-Step Guide Using Historical Data and Basic ML Libraries

Build a crypto price model in Python: pull data with yfinance, engineer features, split by date, then test Linear Regression ...

Choosing your first machine learning book with the Python Machine Learning Start Book

When you stand in the machine learning section of a bookstore, you are met with specialized books full of mathematical ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
BioTecNika

AI Skills Every Biotechnology Student Should Learn

Discover the Essential AI Skills Biotechnology Students hould learn, from Python and ML to Bioinformatics, Data Analysis and ...
GitHub

Tutorials for pointcloud processing in Python

Tutorials for pointcloud processing in Python (transformations, spatial indexing, subsampling, cleaning, normals & curvatures, descriptors, segmentation, primitive fitting, registration, ...