Trying out machine learning using scikit-learn and the Palmer Penguins dataset

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...
Analytics Insight

Data Science Courses for 2027: Skills to Learn as AI Changes the Job Market

Overview: Recent Indian hiring data highlights demand for Python, large language models, AI agents, and retrieval systems in ...
Rebellion Research

Dynamic Asset Allocation Using Machine Learning for Risk Management

Explore dynamic asset allocation using machine learning to adapt portfolio weights, interpret market signals, and balance ...

What it means to study AI and machine learning: What I gained from taking the GCI (Global Consumer Intelligence) course

I took a course called GCI (Global Consumer Intelligence) from April 21 to August 4, 2026, so I will write about what I ...
GitHub

Real-Time Air Quality Prediction Using Machine Learning

Air pollution monitoring is essential for understanding environmental conditions and assessing potential health risks. This project implements a machine learning-based approach to predict PM2.5 ...
KDnuggets

How to Access Multiple AI Models in Your Python Apps Using OpenRouter

Learn how to get started with the OpenRouter API to call multiple AI models through one API, compare responses, switch models ...
GitHub

Code for The Green Mirage of Carbon Uptake in a Drying World. Four machine learning models were used to estimate monthly GPP using climate and remote sensing data.

This repository contains the Python code used to reconstruct global gross primary productivity (GPP) from 1982 to 2022 using four machine learning algorithms: Random Forest (RF), Extra Trees (ET), ...
BIOENGINEER

Ten guiding principles for computational drug discovery in resource-limited settings

Researchers from Cameroon and Germany propose ten guiding principles for building sustainable computational drug discovery ...
Microsoft

Threat actors use agentic AI tooling to find and abuse exposed secrets

Microsoft Threat Intelligence has observed threat actors using the agentic offensive security framework ARTEX to search GitHub for OAuth application secrets, which can be used to compromise the ...
BIOENGINEER

Kernel-Tuned Machine Learning Pushes Network Intrusion Detection Toward 99% Accuracy on Benchmark Data

A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic ...
Dhaka Tribune

MacBook vs Windows laptops for CSE students in Bangladesh: Which is better in 2026?

Choosing the right laptop is an important decision for computer science and engineering (CSE) students in Bangladesh. From ...

AWS just made it way easier to use SageMaker to fine-tune AI models for tool use and your firm's specific tasks

The cookbook supplies examples for chat fine-tuning, mathematics, programming and preference learning. AWS also says it provides agent skills to help coding assistants handle tasks across preparation, ...