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Linear Regression Tutorial

Linear Regression attempts to model the relationship between two variables by fitting a linear equation to observed data

Nischal Lal Shrestha Nischal Lal Shrestha
5 min read
Image for Bayesian Theorem and Naive Bayes Classifier

Bayesian Theorem and Naive Bayes Classifier

The fundamental idea behind all Bayesian Statistic is Bayesian Theorem. So it is vital to understand what is Bayesian Theorem.

Nischal Lal Shrestha Nischal Lal Shrestha
10 min read
Image for K-Nearest Neighbour Algorithm for Image Classification

K-Nearest Neighbour Algorithm for Image Classification

KNN algorithm assumes that similar things are near to each other. In KNN we select a number of neighbors of the things we're are interested in and based on the properties of its neighbor we predict something about the thing.

Nischal Lal Shrestha Nischal Lal Shrestha
6 min read
Image for Introduction to Data Structure

Introduction to Data Structure

A Data Structure, as the name suggests, is a method to store data in a structured way so that it can be easily created, viewed, and managed. A one-liner definition may not be enough to explore Data Structures. So Let's take an example:

Nischal Lal Shrestha Nischal Lal Shrestha
9 min read

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