Statistical Modeling with Python: How-to & Top Libraries - Kite Blog

One of the most important factors driving Python's popularity as a statistical modeling language is its widespread use as the language of choice in data science and machine learning. Today, there's a huge demand for data science expertise as more and more businesses apply it within their operations. Python offers the right mix of power, versatility, and support from its community to lead the way. It's worth noting, however, that sound statistical modeling occupies a central role in a data science stack, but some statistical modeling fundamentals often get overlooked, leading to poor analysis and bad decisions. This article covers some of the essential statistical modeling frameworks and methods for Python, which can help us do statistical modeling and probabilistic computation.