arupdvsa / blogs

Data science blogs & guides in python and R. The contents covers wide range of topics like MLOps, automation, simulations, visualizations, machine learning models, financial analysis, value investing and quantitative investing

Blogs Links

1. How To Evaluate The Business Value Of a Machine Learning Model: Learn how to assess the business value of a ML model and explain the same without technical/ statistical jargons.

2. Monte Carlo Simulation For Pipe Failure In Python: Learn how to simulate values from given distribution and iteration multiple times to generate probability of pipe failure and visualize the results.

3. ML Pipelines | Tidy Models Vs Scikit Learn: Explore how to build machine learning pipelines in both R (Tidymodels) and python(Scikit learn). This is a step by step guide for each stage of building a ML model.