😄 Machine Learning Study 😄

1. NYC Taxi Trip Duration Prediction Anaysis

What I do

• With this Kaggle Dataset NYC Taxi Trip Duration Competition, I use some scipy model to analyze to get RMSLE (Root Mean Squared Logarithmatic Error) Score. (0.4678)

Documents

• Pandas
• Numpy
• Seaborn
• Matplotlib
• Xgboost
• Scikit-learn (sklearn)

Result Report

• You can also look this full report in this link (/NYC Taxi Duration Analysis/Taxi Dataset Analysis.docx)

• Result

  
  

2. Automatic Face Replacement Service for portrait rights protection using Face Recognition and cycleGAN

What this Service do

• With Face Recognition and CycleGAN model, my project group developed Automatic Face Replacement Service.
• This service detect human faces in given input picture, and then we used face recognition and recognize the known face which is featured with the default picture using FaceNet.
• This service give users back a revised picture that unknown faces in the picture are replaced with Simpson-like faces using cycleGAN.

What I do

• Using Google Cloud Platform, study CycleGAN model with 2 image (Human face, Simpson face) and get results (see below).
• And also, make web-page for demo in Django, Bootstrap 4.

Result Picture

• Result 1

  
  

• Result 2

  
  

Documents

• FaceNet
• CycleGAN
• Simpson Face Dataset
• Human Face Dataset