zerotogbms-project

Course Project - Real-World Machine Learning Model - Machine Learning with Python: Zero to GBMs

Problem Statement

The data for this challenge shows the results of a number of "trials", each one representing about 2 minutes of sequential data that are recorded every 100 ms during a driving session on the road or in a driving simulator. The trials are samples from some 100 drivers of both genders, and of different ages and ethnic backgrounds. The files are structured as follows:

The first column is the Trial ID - each period of around 2 minutes of sequential data has a unique trial ID. For instance, the first 1210 observations represent sequential observations every 100ms, and therefore all have the same trial ID

The second column is the observation number - this is a sequentially increasing number within one trial ID

The third column has a value X for each row where

X = 1 if the driver is alert

X = 0 if the driver is not alert

The next 8 columns with headers P1, P2 , …….., P8 represent physiological data;

The next 11 columns with headers E1, E2, …….., E11 represent environmental data;

The next 11 columns with headers V1, V2, …….., V11 represent vehicular data

The file 'example_submission.csv' is an example of a submission file - your submission files should be in exactly the same format, with only values in the last column ('Prediction') different. Predictions are expected to be real numbers between 0 and 1 inclusive