What we aim to do is create an efficient classification model that best predicts if a given patient is likely to develop cardio vascular disease or not.
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Perform Exploratory Data Analysis to gain insights on the Data
a. Data Cleaning
b. Data Summarization: Describe the data and its distributions
c. Data Visualization: Create graphical summaries of the data -
Transform the data for training the different classification algorithms
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Apply the different Machine Learning Algorithms
a. Train, Cross validate, perform appropriate hyperparameter tuning
b. Comparative analysis of the accuracy of the models -
Gain insights from the results obtained
If you want to contact us you can reach out at TeamOutliers23@gmail.com.
This project uses the following license: MIT