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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 For every tabular data, we know that the data is stored in the form of a matrix (rows and columns). It is obvious that every column may not be of the same data type. We tend to have data of different types. Some column values may be inte...

Introduction Logistic regression is a statistical model which is extensively used in binary classification tasks. The name logistic because it uses a logistic function to do the classification. The logistic function is also known as cross-entropy. Be...

Introduction Regression analysis is a process of predicting a response variable given an explanatory variable. The response variable is also called a dependent variable and an explanatory variable is known as an independent variable. Given a problem ...

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...