Placement prediction website(Flask web application) predicts the chance of getting placed on-campus based on various parameters like CGPA, backlogs, internships, etc. This website uses a Machine Learning model trained using Random Forest Classification technique. The machine learning model achieved 94% precision and 88% accuracy.

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Admission Prediction website in US elite colleges. This website uses a Machine Learning model trained using Linear Regression technique. Website takes score as input from users to predict the results based on previously trained Machine Learning model.

Parkinsons-Disease-Detection This is a project which predicts whether a person have Parkinson's Disease or not