• General Monty Hall Simulation

    The idea of this post came up to my mind last night. I’m assuming you have already heard about the famous Monty Hall Problem (if you haven’t, watch the quicker intro in Numberphile clip). Here I’d like to demonstrate a simulation taking the general case into account, i.e. assume we have bins (boxes or doors, whatever) and […] Continue reading

  • Restaurant Revenue Prediction with BART Machine

    In this post, I’d like to show you how to use the newly written package on Bayesian Additive Regression Trees i.e. BART Machine for Restaurant Revenue Prediction with R. The datasets are part of the passed Kaggle competition that can be found here. What is BART? BART is the Bayesian sibling of Random Forest. For […] Continue reading

About Me

I am a Machine Learning since 2013, transforming complex data into manageable solutions. Previously grounded in the discipline of pure Mathematics, I transitioned from beauty of Math to innovative code. I blog to manage and structure information. If you want to know more about me and my work, please check out my GitHub and Linkedin.