Vrinda Store wants to create an annual sales report for 2022. So that, Vrinda can understand their customers and grow more sales in 2023

This repository contains the implementation of Gaussian Naive Bayes from scratch in a Jupyter Notebook. Gaussian Naive Bayes is a simple and effective algorithm for classification tasks. It is based on Bayes' theorem with the assumption of independence between the features.

Implementation of Naive Bayes & Bayes Theorem

Implementation of Bayes and naive Bayes for iris dataset

A category-guessing model, trained with bayes theorem

School activities on application of Bayesian Statistics in Python.

Estimate conditional probabilities, compare data distributions, and perform data transformations to analyze employee absences

Naive Bayes Classifier | 10-Fold Cross-Validation | ROC Curve Analysis | Machine Learning | Python

Naive Bayes Classifier that utilizes Bayes theorem and normal distributions.

Web Games for Teaching Rational Decision Making

Fast explication of Gaussian NB

A full page Bayes' Theorem interactive visual

This repo consists of Naive Bayes algo from scratch and Email-Spam classification project using Naive Bayes

This repository has been created to complete an assignment given by datainsightonline.com. This assignment is a part of Data Insight | Data Science Program 2021.

A series of R scripts I wrote while following along with the book Statistical Rethinking - @rmcelreath while preparing for the Modern Actuarial Statistics II Exam @casact

Project involved the analysis of a covid-19 dataset, applying bayes theorem to estimate probabilities and using KNN ML algorithm to train a model and make predictions based on the data

ML Topics include KNN. Naive Bayes and Support vectors both in Theory and Python Code. KNN Imputation technique is also explained in this branch.

Interactive Tool for Interpreting positive COVID-19 antibody tests

A geometric interpretation of Bayes Theorem showing how dependent probabilties relate to each other.