Start your journey into machine learning with EEG time-series data in this easy-to-follow Python project. Perfect for ...

Hidden Python libraries can make data analysis faster and easier for large datasets. Tools like Polars, Dask, and Sweetviz simplify data cleaning, modeling, and visualization. Learning new Python ...

Overview: Python dominates computer vision with its vast array of open-source libraries and active community support.These ...

Integrating AI models with the medical domain is challenging as it involves more complex workflows compared to traditional machine learning operations (MLOps). Requirements such as model performance ...

Want to become an AI engineer but don’t know where to start? This video breaks down the essential skills, tools, and learning ...

In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: The assessment of artificial intelligence (AI) application for prediction of internal combustion engine (ICE) performance and its impact on CO2 emissions is conducted in this paper. Three ...

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...

Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced ...

This repository contains the final project of my Data Science course. The project involved developing a machine learning model that predicts the cost of public sector projects in the UK. The focus is ...