The goal of the project was to predict Co2 emissions. Co2 emission rates are normally captured by some sensors that are attached in cars via a sensor box. How ever some cars where not compatible with the sensor setup and ended missing the co2 emission sensor. I performed regression on co2 emissions thought a multilayer perception with input from the install sensors to compensate for the missing sensor data.