ICP4

Video Link: https://youtu.be/HiTaCbOY8pg In Class Programming 4, I was introduced to machine learning and classification, and use scientific packages in python. The fist program in this ICP is to find a correlation between two categories from an imported data. The main reason is that to learn how to train a data set. For example, removing a category then use it to simplify a data set. After calculating, the correlation is over 50% so sex cannot be dropped.

In this part, Several libraries were used to such as train_test_split and Naive Bays from Sklearn. In this case, a part of the data is tested to show the accuracy of the provided data. In here, it shows 37 of accuracy. This accuracy is out of training the columns and fitting them into models. The same task of the first one was used in this.

The last part, reusing the same step of above tasks as well, but there is an extra technique is used which Support Vector Machine to have a boundary between classes. As result, the accuracy is 37.Also, the size was tested is 20%.