In this study, face recognition was performed using the face images in the Olivetti data set. The steps for face recognition are as follows:
Principal components of face images were obtained by PCA. Adequate number of principal components determined. According to three different classification models, accuracy score obtained. According to three different classification models, cross-validation accuracy score were obtained. Parameter optimization of the best model has been made.

Code is in face recognition.ipynb file, or nbviewer link is below:

https://nbviewer.org/github/Ubaydullo99/face-recognition-project/blob/main/face%20recognition.ipynb