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Merge branch 'rohitinu6:main' into overview-performance-metrices
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Karthik3904 authored Oct 30, 2024
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26 changes: 17 additions & 9 deletions README.md
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<div align="center">

## 📈 Stock Price Prediction
<a href="https://git.io/typing-svg"><img src="https://readme-typing-svg.herokuapp.com?font=Comfortaa&size=30&duration=4000&pause=1000&color=F7F7F7&background=FFFFFF00&width=435&lines=%F0%9F%93%88+Stock+Price+Prediction" alt="Typing SVG" /></a>

![Stock Prediction Model](https://raw.githubusercontent.com/alo7lika/Stock-Price-Prediction/refs/heads/main/InvestWise%20-%20Stock%20Prediction%20Model.png)
![Stock Prediction Model](https://github.com/Karthik3904/Stock-Price-Prediction/blob/update-readme/images/Screenshot%202024-10-25%20194943.png)

</div>

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The primary objective is to compare model accuracy and performance metrics, such as RMSE, MAE, and MAPE, across multiple algorithms, ultimately identifying the most suitable regression approach for stock price forecasting.


## 🛠️ Features

- Utilizes various regression algorithms for stock price prediction.
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📋 requirements.txt # List of dependencies needed to run the project.


## 🚀 How to Run
## 🚀 How to Run `main.py`
**Steps**:
1.**If Flask is not installed, install it**:
```bash
pip install flask
```
2.**Install dependencies using**:
```bash
pip install -r requirements.txt
```
3.**Run the Flask app**:
```bash
python main.py
```

1. Install dependencies using:
```bash
pip install -r requirements.txt
```
2. Execute the notebooks in the `notebooks/` folder in the given order.
3. Run the scripts in the `src/` folder for further analysis or model training.

## 📈 Results

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