Machine learning model using the Random Forest algorithm to predict crop prices and analyze future price trends.
-
Updated
Dec 4, 2025 - Jupyter Notebook
Machine learning model using the Random Forest algorithm to predict crop prices and analyze future price trends.
A comprehensive final reflection detailing academic experiences, key takeaways, and future aspirations throughout a computer science degree program, highlighting course learnings, professional impact, and emerging industry trends.
An AI-powered foresight agent for Nesta's Discovery Hub. Signal Scout automates horizon scanning by discovering, verifying, and scoring "signals" of innovation using the Friction Method and live web search.
Programming Languages and DBMS Usage Analysis: A data-driven exploration of future perspectives, trends, and insights.
Add a description, image, and links to the future-trends topic page so that developers can more easily learn about it.
To associate your repository with the future-trends topic, visit your repo's landing page and select "manage topics."