Profiling of consumers to predict preferred car segment using neural networks

A consumer's preferred car segment predictor

Problem Statement

Gained understanding about car features, equipment and working mechanisms during training course at Ford. Conducted a survey on consumer behavior and utilised the acquired information to develop a Neural network (ANN) model to predict the segment of car preferred by a customer based on consumer characteristics such as age, gender and profession as input.

Technology used

Python, Pandas, NLTK, Keras, Neural Network

Project link

Github -