Giorgi Kukishvili's repositories
Bayesian-Inference-with-PyMC
This Jupyter notebook implements a Bayesian model for (A) fitting the posterior distribution given the data and (B) predicting consumer spending behavior in an e-commerce company. The objective is to model the average amount of money customers spend per month, considering specific constraints without the actual data by prior predictive model.
CEO-Dismissal-Causal-Inference
Researching the relationship between stock market performance and involuntary CEO dismissal.
Forecasting-Customer-Demand
This Jupyter Notebook implements Bayesian modeling techniques to fit a posterior distribution and forecast demand for an e-commerce company.
CEO-Dismissal-Prediction
Researching the relationship between stock market performance and involuntary CEO dismissal.
Mexicos-Conditional-Cash-Transfers
Using single and multivariable regression to estimate treatment effects of Mexico's Conditional Cash Transfer program - Prospecta.
sf-shopping-game
The platformer-type game to understand how much money one would spend on everyday grocery items in San Francisco.
stock-sentiment-sample
In this notebook, we will generate investing insight by applying sentiment analysis on financial news headlines from FINVIZ.com.
UK-GP-visits-data
Bayesian modeling for GP visits using partial and complete pooling. Analyzes demographic and regional factors. Utilizes PyMC3 for modeling and visualization. Prior and posterior predictive checks included.