1. Friedman-1 synthetic dataset

   Generate a synthetic dataset using the Friedman-1 function implemented in StatSim

2. Bayesian robust linear regression

   Assuming non-gaussian noise and existed outliers, find linear relationship between explanatory (independent) and response (dependent) variables, predict future values.

3. Bayesian A/B testing

   Compare conversion rates and calculate how likely one option is better than another in a probabilistic (bayesian) fashion.

4. Bayesian linear regression

   Find linear relationship between variables in Bayesian way (using probability to measure uncertainty)

5. Conversion rate estimation

   A simple probabilistic model that calculates a website conversion rate given two params (number of total visitors and number of conversions). The output measures uncertainty about the true value of conversion rate

6. Predator prey model (Lotka–Volterra)

   Lotka–Volterra equations (predator–prey equations) are used to model dynamical relationship between predators and they prey

7. Compound interest

   Compound interest model with annual deposits