The proliferation of smart devices with inertial measurement units has driven human activity recognition (HAR) research for several years. However, existing datasets like the Smartphone and Smartwatch ...

In this Python for beginners tutorial, you will learn the essentials for data analysis. The tutorial covers how to install Python using Anaconda and set up Jupyter Notebook as your code editor. You ...

Recently, OpenAI released Code Interpreter in ChatGPT for all paying users. However, it costs $20 per month, which is not affordable for everyone. So if you want to use ChatGPT Code Interpreter for ...

In this tutorial, we guide you through the development of an advanced Graph Agent framework, powered by the Google Gemini API. Our goal is to build intelligent, multi-step agents that execute tasks ...

In this tutorial, we provide a practical guide for implementing LangGraph, a streamlined, graph-based AI orchestration framework, integrated seamlessly with Anthropic’s Claude API. Through detailed, ...

In statistics and machine learning, ordinal regression is a variant of regression models that normally gets utilized when the data has an ordinal variable. Ordinal variable means a type of variable ...

Visual odometry (VO) is a method used to estimate self-motion of a mobile robot using visual sensors. Unlike odometry based on integrating differential measurements that can accumulate errors, such as ...

Link to tutorial on Github: https://github.com/hydroclimali/XEE_tutorial/blob/main/xee_demo.ipynb I've been working with geospatial datasets for 13+ years now (since ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to ...

Here we developed an open-source Python-based library called Python rodent Analysis and Tracking (PyRAT). Our library analyzes tracking data to classify distinct behaviors, estimate traveled distance, ...