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CS 233402

Python 0.07% Shell 0.07% TeX 4.24% Jupyter Notebook 95.63%
linear-algebra machine-learning natural-language-processing numpy scikit-learn scipy sklearn feature-detection opencv

linalg's Introduction

Linear Algebra

Assignment 1

BLAS and LAPACK

Basic usage of numpy, scipy, BLAS, LAPACK.

Score: $100$

Assignment 2

Camera Calibration

Compute the projection matrix transforming the coordinate from the camera to the photo, Moreover, Shi-Tomasi algorithm was applied to detect the corners in photo.

Score: $100$

Assignment 3

Trajectory Compression

Compress the trajectory data of GPS into line segments orcurves.

Score: $100$

Assignment 4

Spam Filter

Distinguish whether the emails are spam or ham by means of TF-IDF vectorizer in scikit-learn to perform NLP. The dataset was based on Kaggle.

Score: $95$

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