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https://github.com/imumi17/microsoft-stock-price-prediction-with-machine-learning

This project leverages machine learning techniques to predict the future prices of Microsoft's stock. By analyzing historical stock price data, the model aims to provide accurate predictions that can be used to make informed investment decisions.
https://github.com/imumi17/microsoft-stock-price-prediction-with-machine-learning

googlecollab machine-learning-algorithms microsoft stockprice-prediction tensorflow

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This project leverages machine learning techniques to predict the future prices of Microsoft's stock. By analyzing historical stock price data, the model aims to provide accurate predictions that can be used to make informed investment decisions.

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README 

        
# Microsoft Stock Price Prediction using Machine Learning



## Introduction



Stock prices are a critical indicator of a company's financial health and are closely watched by investors, traders, and financial analysts worldwide. Predicting stock prices is a challenging task due to the inherent volatility and multitude of factors influencing the market. However, with the advancements in machine learning, it is now possible to analyze historical data and predict future stock prices with a reasonable degree of accuracy. 



## About Microsoft



Microsoft Corporation is a global technology giant headquartered in Redmond, Washington. Founded by Bill Gates and Paul Allen in 1975, Microsoft has grown to become one of the most valuable companies in the world, known for its software products like Windows, Office Suite, and Azure cloud services. The company's stock, traded under the ticker symbol MSFT, is a key component of major stock market indices such as the S&P 500 and the NASDAQ-100.



## Project Overview



This project leverages machine learning techniques to predict the future prices of Microsoft's stock. By analyzing historical stock price data, the model aims to provide accurate predictions that can be used to make informed investment decisions.



### How the Prediction is Useful



1. **Investment Decisions**: Accurate stock price predictions can help investors make better decisions about buying, selling, or holding Microsoft stock.



2. **Risk Management**: By predicting potential price movements, investors can better manage their portfolios and hedge against risks.



3. **Market Insights**: The analysis and predictions can provide insights into market trends and the factors driving Microsoft's stock performance.



4. **Financial Planning**: Both individual and institutional investors can use these predictions for strategic financial planning and to optimize their investment strategies.



## Project Structure



- **Data Collection**: Historical stock price data of Microsoft along with relevant financial indicators were collected from reliable sources.

- **Data Preprocessing**: The data was cleaned, normalized, and prepared for analysis.

- **Feature Engineering**: Important features were selected and engineered to improve the model's predictive power.

- **Modeling**: Various machine learning algorithms were applied, and their performance was evaluated.

- **Evaluation**: The model's accuracy was tested using metrics such as Root Mean Squared Error (RMSE).

- **Prediction**: The final model was used to predict future stock prices.



## Conclusion



This project demonstrates the application of machine learning in the field of financial market prediction. While stock price prediction remains a challenging task, the use of advanced algorithms can significantly enhance the accuracy of predictions, aiding investors and financial analysts in making more informed decisions.