Machine Learning and AI with Python" is an intermediate online course on edX, supported by Harvard SEAS. It teaches AI-driven decision-making using Python, cove ...

A data-driven clinical decision support tool demonstrating the end-to-end deployment of a machine learning pipeline using Python, PyCaret, and Streamlit.

Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

Abstract: This paper analyzes the possible use of machine learning (ML) algorithms for early detection and prevention of cardiovascular disease (CVD) which is one of the leading global health concerns ...

The lack of precise, autonomous tools for monitoring and classifying cattle behavior limits farmers’ ability to make proactive and informed decisions regarding grazing and herd management. Currently, ...

Abstract: In this study, various algorithmic models such as Random Forest and ARIMA are combined, and the study aims to establish an accurate medal prediction model. Firstly, the data of past ...

EV Sales Prediction in India using Machine Learning. Forecasts electric vehicle sales across Indian states with interactive visualizations and a modern web UI.

1 Information System Department, Faculty of Commerce and Business Administration Helwan University, Cairo, Egypt. 2 Computer Science Department, Faculty of Computer and Artificial Intelligence, Helwan ...

Forests occupy one third of the total land area of the Earth and hold around 80 per cent of the world’s terrestrial biodiversity. It is estimated that nearly one third of the global population depends ...