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This project leverages computer vision and deep learning to detect suspicious activities within retail stores.
Input:
The input consists of real-time video feeds from surveillance cameras placed w…
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### Feature description
### Description:
This issue aims to implement an Adaptive Resonance Theory (ART1) algorithm for binary data clustering. ART1 is well-suited for unsupervised learning with bin…
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the model takes input like blood pressure, gender, age, Plasma concentration etc, and predicts whether the person needs treatment or not
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I propose adding an e-commerce sales prediction model to ML Nexus. This model will utilize historical sales data, marketing spend, customer behavior, and seasonal trends to forecast future sales. It w…
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### GAT link prediction on unseen nodes
*Hi! I am trying to implement link prediction based on GAT and predict unseen nodes (Inductive learning). While I can successfully run a link prediction usin…
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### Feature Request: News Articles Category Prediction
**Summary:**
A feature to predict the category of a news article (such as Sports, Politics, Entertainment, Technology, etc.) based on …
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I am a contributor at hacktoberfest2022. Please assign me this issue if possible.
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Whan I try to introduce known data from the future in the forecast I get higher values, I guess I miss something, Please advise.
future_data = pd.read_csv(
"~/Downloads/ebstestmures-futures-20…
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AI-Based Stock Predictor
**Overview**
The AI-Based Stock Predictor uses machine learning to forecast stock prices based on historical data. This project leverages advanced algorithms to analyze past…