read the data with the help of pandas analysis tool
Calculated numerical values for Mean, Median, Max, Min To know skewness and Kurtosis implemented a functiom inside table to get numerical value for corresponding types
With the help Chi-Square did hypothesis testing between categorical variables to know the relationship between them, And dropped uncorrelated columns And dropped few rown too
I decided to use Decision Tree and to prevent from overfitting i added some extra columns by using existing columns,
KNN imputer helped filling some missing values
To overcome imbalance added duplicate data from the same sample
Here in model training crested Decision Tree model, because less data i have gone with Decision Tree. And got accuracy of !00% for both training and Testing