Using patient data to build a predictive model to assess whether they have/ likely to get kidney disease.

Exploratory Data Analysis:

Data Visualisation to review relationship between features and the target variable

Correlation Analysis

Handled Missing Values

Feature Encoding for categorical Variables

Using chi^2 test to find best features

Model building and Hyper-tuning

Accuracy Score: 97%; suggests overfitting, but I will need to look at using similar techniques on a different dataset.

As stated above, probably running similar data handling techniques ona new dataset or similar binary classification problem.

Will update with a new dataset/ new project with similar techniques.

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