Malicious PyPI packages give hackers control of Telegram bot servers

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
Analytics Insight

Data Science: Building Machine Learning Models, Harvard University

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of machine learning, principal component analysis, and recommendation systems. With ...
The Hacker News

PerfektBlue Bluetooth Vulnerabilities Expose Millions of Vehicles to Remote Code Execution

Cybersecurity researchers have discovered a set of four security flaws in OpenSynergy's BlueSDK Bluetooth stack that, if successfully exploited, could allow remote code execution on millions of ...
GitHub

Python code to run a hydraulic conductivity layer model from CPT and borehole data to create inputs to MODFLOW.

This repository contains the notebooks and scripts used to generate the hydraulic conductivity layer model from CPT data used to generate inputs for MODFLOW. The contents relate to Chapter 2 of Emily ...
Frontiers

osl-ephys: a Python toolbox for the analysis of electrophysiology data

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...
Scientific Research Publishing

A Hybrid Air Quality Prediction Method Based on VAR and Random Forest ()

College of Mathematical and Statistics, Sichuan University of Science and Engineering, Zigong, China. With the rapid development of the global economy and the acceleration of urbanization, ...
GitHub

Unimotion: Unifying 3D Human Motion Synthesis and Understanding

[2024/09/30] Unimotion paper is available on ArXiv. [2025/13/04] Code and pre-trained released. These processed embeddings are all you need for training, sampling, and evaluation. If you'd like to ...
Analytics India Magazine

Hands-On Tutorial On Principal Component Analysis In Python

Real-world data complexity requires identifying strong independent variables for accurate predictions. Dimensionality reduction techniques help simplify datasets by focusing on the most effective ...