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A machine learning-based Python app that predicts stock prices using PyTorch and other Python libraries. This app uses historical stock data to train a neural network model and make future predictions with high accuracy

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StockProphet

Stock Prophet is a tool for analyzing and predicting stock prices using machine learning. This project uses historical stock prices data to train a Random Forest Classifier model to predict future prices.

Installation To use Stock Prophet, you need to have Python 3 installed on your system. Then, you can install the required packages using pip:

pip install -r requirements.txt

Usage

The stock-analysis.ipynb Jupyter notebook contains the code for training the machine learning model and making predictions. To use the notebook, open it in Jupyter and run the code cells.

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A machine learning-based Python app that predicts stock prices using PyTorch and other Python libraries. This app uses historical stock data to train a neural network model and make future predictions with high accuracy

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