databookuwnotes

my notes as i go through DataBookUW. (Store as an obsidian vault)

Topics (so far)

1. SVD
2. PCA
3. FT

Few Interesting Code Things

1. EigenWaves: Computing the Eigen things on random sin waves
2. Wine Clusterring: Analysisng wine quality dataset
3. Image Compression: Reduce size of image using SVD
4. Linear Regression: Examples of regression models
5. Boston Housing: using PCA on the Boston Housing dataset
6. FFT: Examples of performing FT using different methods
7. Noise filtering: Using FFT to de-noise a signal in the frequency domain