Abstract

Individuals with autism spectrum disease (ASD) have social interplay and verbal exchange challenges due to a disruption in Genius improvement that influences how they pick out and have interaction with others. The signs of autism frequently current themselves inside the first two years of an individual’s lifestyles however can be recognized at any time. The ASD concept suggests that the onset of signs takes place in early childhood and persists till younger adulthood. Machine gaining knowledge of lookup has been utilized to the learn about of autism. We use Machine Learning (ML) techniques and technologies, along with Naive Bayes (NB) classifiers, Logistic Regression (LR), Support Vector Machine (SVM), and Random Forest (RF) to analyse and predict.