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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.
This repository contains the framework designed for API testing using Python, PyTest and Allure reports for Gorest.co.in which is a freely available API with wide range of features.
Utilized Python for data cleaning and analysis of social media usage data, employing libraries like Pandas and Matplotlib. Improved insights for informed decision-making and business strategies.