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ArshiBansal / repository
Comprehensive stock market analysis for major tech companies (2019–2024). Features data cleaning, feature engineering, classical time series (SARIMA & Prophet), supervised & unsupervised ML, and neural networks. Available as both a Jupyter notebook for experimentation and a Streamlit app for interactive exploration.
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But very few dare to ask the real questions:
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Srujan-hash /
This project provides a comprehensive Technical and Risk Analysis of major technology stocks (Apple, Microsoft, Netflix, and Google) using Python's robust data science stack.
34/100 healthnkt18 /
A comprehensive project that analyzes historical stock market data to uncover trends, patterns, and potential investment insights. This project uses LSTM and Python-based data science tools to perform exploratory data analysis, visualization, and modeling.
34/100 health