Occasionally I might add some simple scripts about popular data science concepts and techniques here. The code samples are basic implementations for learning purposes - they may be messy, unreliable or outdated.
Contents:
- K-Means clustering algorithm from scratch
- Linear regression implemented from scratch
- Gaussian Elimination for Linear Equations
- LU decomposition from scratch
- Chebyshev Inequality for Poisson, Binomial and Normal distribution
- Captcha Solver: A fastai model trained to solve captcha images from my university portal. Model weights are not included to prevent misuse.
- RC Entrance Task: RC internship entrance was a fraud detection task on an employment website dataset. I
experimented with
kerasandfastaineural nets for this task (once again!). - CAM & GradCAM from scratch