This article would give a basic learnings and understandings in machine learning(focusing on decision trees) and a little prediction with decision trees. The first aspect of my article would be a little theoretical, I know theory is boring we just want to jump to practical aspect but this is required…

Data visualization deals with graphical representation of data. It is an efficient way of communication especially when the data is numerous. In this article, I would try to give a documentation of my process of visualization of an healthcare cost data of Wisconsin hospitals gotten from Kaggle including inferences made…

My initial introduction to data science was in February,2020; in a quest to expand my knowledgebase outside and around my professional scope. Learning was slow at first, but I forged ahead. Then came the pandemic with an enforced lockdown that afforded me a lot of free time. Still, I had…

Pre-requisite: Knowledge on the basic calculation of probability. Knowledge of probability is an important requirement for a Data Scientist. It helps to understand the backbone behind machine learning algorithms. Probability deals with the uncertainty that occurs in the results obtained from the implementation of the machine learning algorithms. For beginners…