Stock Price Prediction Using Machine Learning

[SayantikaLaskar]

Accurate stock price prediction is a challenging and highly sought-after goal in the financial sector. This project aims to develop a machine learning model to predict stock prices based on historical data and various market indicators. The primary tasks include collecting and preprocessing a comprehensive dataset, performing exploratory data analysis to uncover patterns, selecting and engineering features relevant to stock price movements, and training multiple machine learning models to find the most accurate predictor. The chosen model will be implemented in a scalable and deployable solution, capable of making real-time predictions. Additionally, the model will be validated with a separate dataset or live market data to ensure its accuracy and reliability. Throughout the project, we will explore the best practices for time series forecasting, examine various machine learning algorithms suited for stock price prediction, and ensure the model's scalability and performance in a real-world environment.

[SayantikaLaskar]

Please assign me this issue @Akshat111111

[Akshat111111]

stocks ??

[Akshat111111]

algo ??

[SayantikaLaskar]

The dataset is https://www.kaggle.com/datasets/rohanrao/nifty50-stock-market-data And the algorithm used will be linear regression @Akshat111111

[Akshat111111]

okay

[Akshat111111]

Also try to add other models too

[SayantikaLaskar]

Okay sure

[Kirti-Pant]

@Akshat111111 please assign this task to me.

[Akshat111111]

@Akshat111111 please assign this task to me.

The work should be unique and your implementation

[Kirti-Pant]

I'll surely work on this

[Kirti-Pant]

@Akshat111111 I've pulled my request please look into it .