ArshiBansal

ArshiBansal/Stocks_Analysis

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.

23 stars 4 forks 23 watchers Python MIT License
data-analysis data-science data-visualization framework jupyter-notebook python python3 pythonframework
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1 Open Issue Need Help Last updated: Jul 15, 2026

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Improve Exception Handling and Error Reporting Across Stock Analysis Pipeline about 17 hours ago
bug help wanted
ArshiBansal/Stocks_Analysis
23

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.

Python
#data-analysis#data-science#data-visualization#framework#jupyter-notebook#python#python3#pythonframework