SAI SRINATH GUNDLA

Dynamic and results-driven intern with hands-on experience at Edunet Foundation, specializing in machine learning and data analysis. Proficient in Python and skilled in optimizing models through hyperparameter tuning. Adept at identifying business growth opportunities and effectively communicating project progress. Strong analytical mindset complemented by a collaborative approach.

ML-Health-Condition-Classifier

This project is a simple machine learning classification model that predicts a patient’s health condition (fever, BP, sugar, or other) using a decision tree classifier. It uses a public dataset with an added temperature feature to identify the fever conditions

Tools/Library: -

Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.