rohanmistry231/Machine-Learning-Projects
A collection of machine learning projects in Python, showcasing algorithms for classification, regression, and clustering using libraries like Scikit-learn and Pandas. Includes datasets, code, and tutorials for practical applications in data analysis and predictive modeling.
This collection provides practical examples for common data analysis and prediction tasks across various industries. It takes in raw data (like house features, patient records, or sales figures) and demonstrates how to process it to produce insights such as predicted prices, disease likelihoods, or customer segments. The intended user is anyone learning or applying machine learning to real-world datasets, from students to data analysts looking for solution blueprints.
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Use this if you are a data science learner, practitioner, or business analyst who wants to see how machine learning algorithms are applied to solve specific problems in healthcare, finance, retail, and more.
Not ideal if you are looking for a plug-and-play application or a sophisticated, production-ready system; this repository provides educational examples rather than deployable solutions.
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Jupyter Notebook
License
MIT
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Last pushed
May 23, 2025
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