NeonOstrich/Autism-Diagnosis-with-Linear-Regression-and-Neural-Networks-using-Random-Oversampling

We used a dataset that included birth and personal data as well as Autism Spectrum Quotient test scores to train machine learning algorithms to predict autism. We used Logistic Regression, Neural Network Models and Keras Tuner with Random Oversampling to train one with 90% accuracy.

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