Introduction Recently I took up a small project of developing a Python package and deploying it on PyPI. The package is based on the famous problem in Graph Theory - Travelling Salesman Problem. The simple procedure to solve this is by taking random ...
Introduction KNN algorithm is a supervised classification algorithm that is mainly used to predict which category a query point belongs to, given a bunch of data values with respect to its corresponding categories (class labels). Talking from the per...
Introduction Classification is a task of grouping things together on the basis of the similarity they share with each other. It helps organize things and thus makes the study more easy and systematic. In statistics, classification refers to the probl...
What is Data Manipulation? Data manipulation is one of the techniques in the life cycle of data analysis. It refers to the process of organizing the data by adjusting certain rows or columns with which, it becomes easier to read and understand. We ha...
What is a missing value? Missing value simply refers to a situation where there is no data stored for the variable in an observation. This usually happens when there is no response detected for a particular question during the process of data collect...
Introduction The main agenda of this article to analyze crime data by following all the steps required for the complete data analysis. The steps include Data Preparation, Data Cleaning, Data Wrangling, Feature Selection, Data Visualization & Comparis...