Data Mining task to find best model for prediction

Using the dataset supplied with 260 rows, create a python script that i can use in Jupyter to predict and output numeric value, or convert this output into classes and predict the class. As entry there is 23 boolean features, 3 numeric and two nominal.
I do not need the perfect model, but you use different algorythms to train and test the best model explaning my data.
Attached you have a print of columns of the data set as well the csv file with complete daataset