💡 Objective: To make a model that will accurately detect the presence of Parkinson's Disease in an individual.

📳 Support Vector Machine Model is used for prediction.

👩‍👩‍👧‍👦 Audience: This is intended for anyone who is interested in learning more about this disease.

📅 Date: September 27 - October 01

🔢 Dataset: Kaggle: https://www.kaggle.com/vikasukani/parkinsons-disease-data-set/version/1

📜 References:

• Gandhi, R. (2018, June 07). Support Vector Machine — Introduction to Machine Learning Algorithms. Towards Data Science. https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47
• Kinsley, H. (2015, January 02). Linear SVC Machine learning SVM example with Python. PythonProgramming. https://pythonprogramming.net/linear-svc-example-scikit-learn-svm-python/
• Siddhardhan. (2021, May 07). Project 14. Parkinson's Disease Detection using Machine Learning - Python | Machine Learning Project [Video]. Youtube. https://www.youtube.com/watch?v=HbyN_ey-JVc