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Stock Price Prediction Using Historical data and Machine Learning Algorithms [#946663]

Stock Price Prediction Using Historical data and Machine Learning Algorithms
Free Download Stock Price Prediction Using Historical data and Machine Learning Algorithms
English | 2025 | ASIN: B0F3X8GFKY | 32 pages | Epub | 349.50 KB
"Prediction of Stock Price Using Machine Learning Algorithms" is a data-driven research study that explores how machine learning models can be applied to forecast stock prices using historical market data. Focused on Reliance Industries, one of India's largest conglomerates, this case study compares the effectiveness of various algorithms, including Linear Regression, Random Forest, Decision Tree, and Moving Averages.


Through practical implementation and performance evaluation using metrics such as Mean Squared Error (MSE) and R-squared (R²), this report provides clear insights into how machine learning tools can enhance investment decision-making and trend analysis. Whether you're a student, data enthusiast, finance professional, or curious investor, this book offers valuable perspectives on merging technology with financial analytics.

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