# TODO
## 2019.06.24
- [ ] Implement various pdf
- [x] Bernoulli
- [x] Beta
- [ ] Dirichlet
- [x] Gamma
- [ ] Student's t
- [ ] Wishart
- [ ] Implement special polynomial
- [ ] Legendre
- [ ] Bessel
- [ ] Hermite
- [ ] Implement DataFrame
- [ ] Implement Plot
- [ ] Determine main API
- [ ] Implement convenient structure of Neural Network
- [ ] Complete Gitbook
- [x] Vector
- [x] Matrix
- [x] Linear Algebra
- [x] Functional Programming
- [x] Statistics
- [ ] Interpolation & Spline
- [ ] ODE
- [ ] Macros
- [ ] Machine Learning
- [ ] Export distributions using Pickle
- [ ] Fill `ExtraOps` for `HyperDual`
- [ ] Re-write `numerical` module
- [ ] Optimize
- [ ] Linear Regression
- [ ] Non-linear Regression
- [ ] Gauss-Newton
- [ ] Gradient Descent
- [ ] Levenberg-Marquardt
## Complete
- [x] Can choose API - MATLAB, Python, R