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Predict the likelihood of recovering debt based on historical data and borrower profiles.
assign it me pls @invigorzz313
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The primary goal of this project is to create an accurate and robust model that can predict house prices based on various features such as location, size, number of rooms, and other relevant factors. …
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## 🌟 Feature Overview
This project utilizes supervised learning to detect and classify facial expressions in real-time using video and camera input. It leverages the FER (Facial Expression Recognitio…
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**Is your feature request related to a problem? Please describe.**
This will provide a detailed analysis of nutritional content, and their cultural significance also.
**Describe the solution you'd…
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Objective:
The objective of this project is to develop a machine learning model that can accurately predict handwritten digits using the MNIST dataset.
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Description:
Create a predictive model that forecasts stock prices using historical data. Use machine learning libraries such as Scikit-learn or TensorFlow. The model should output predictions for…
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This project aims to predict the estimated marks and grade of students based on various inputted factors using given dataset from Kaggle :
https://www.kaggle.com/datasets/nikhil7280/student-perfor…
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\[
\mathbf{h}^…
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# Metrics
Precision and recall were calculated to evaluate the performance of each model and compare the performance of various models. Confusion matrix plotted for better understanding.
## Precis…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Implement an LSTM model to improve anemia prediction by capturing sequential dependencies …