Interactive code for image similarity using SIFT algorithm

Implement an Extended Kalman Filter to track the three dimensional position and orientation of a robot using gyroscope, accelerometer, and camera measurements.

Logistic Regression algorithm to classify two classes of 2-D data samples using 1) 2-D feature vector & 2) its mapping to a higher dimensional feature space.

Quantum machine leaning classification with feature maps and custom variational circuits (asäntze)

Implementing logistic regression with L2 regularization from scratch to classify circular datasets by mapping the feature space into higher dimensions.

Simple implementation and improvement of INRs

Logistic regression with and without regularization.

Variations of minimax risk classifiers with different loss functions

The simple and open source user story mapping tool. Kudos to Jens Wollert Ehlers

Build a model with machine learning to predict housing prices in Ames, Iowa. Top 11% in the Kaggle Housing Prices Competition.

Principle concepts in computer vision covering image processing techniques, data augmentation, feature mapping, and detection and morphology techniques.