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Label classification for three datasets: Face, Pose and Illumination. Bayes Classifier, KNN Classier, Kerner SVM and Boosted SVM algorithms are written from scratch in Python. The results were evaluated and compared to understand the effectr of dimentionality reduction techniques including PCA, LDA and MDA validation using K-fold cross validation.

License: Apache License 2.0

Jupyter Notebook 98.83% Python 1.17%
bayes-classifier boosted-svm k-fold-cross-validation kernel-svm knn lda machine-learning mda pca

face-pose-illumination-classifier's Introduction

Kavya Devadiga

I am a Robotics Masters's student. I like smart autonomous systems. I love to design systems that would automate the dull, dangerous, and mundane tasks and make a difference in human lives for betterment.

./ Robotics Graduate student at the University of Maryland College Park
./ Graduated with a Bachelors degree in Computer Engineering
./ Loves building and development of robust software systems
./ Interests - Robotic Software Developer | Machine learning | Computer Vision | Autonomous systems
./ USA | India

kavyadevd

Technology stack

linux c cplusplus csharp ROS CoppeliaSim opencv postman python tensorflow travisci css3 dotnet git html5 javascript matlab mssql arduino azure

  > The secret of getting ahead is getting started.
  >> Mark Twain

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kavyashree-devadiga loony_d kavya_d

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