School activities on application of Bayesian Statistics in Python.
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Updated
May 14, 2024 - Python
School activities on application of Bayesian Statistics in Python.
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
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
A category-guessing model, trained with bayes theorem
Vrinda Store wants to create an annual sales report for 2022. So that, Vrinda can understand their customers and grow more sales in 2023
The Coffee Bean Sales Dataset offers a multifaceted exploration of the thriving coffee industry, providing a comprehensive view of sales, customer profiles, and coffee product details. This rich dataset is a gateway to understanding consumer behavior, optimizing product offerings, and improving business strategies in the world of coffee.
Interactive Tool for Interpreting positive COVID-19 antibody tests
A Naive Bayes Text Classifier that classifies input text into one of two categories: either a BUSINESS article or a SPORT article
Jupyter Notebook featuring hands-on exercises centered around Bayesian networks and Bayesian classifiers.
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.
A full page Bayes' Theorem interactive visual
about statistical techniques for Data Science
In this mini-project, I engage in solving practice problems related to probabilities before transitioning to explore various statistical distributions.
Quizzes & Assignment Solutions for Data Science Math Skills on Coursera. Also included a few resources on side that I found helpful.
A geometric interpretation of Bayes Theorem showing how dependent probabilties relate to each other.
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.
This project aims to understand and build Naive Bayes classifier to predict the salary of a person.
ML Topics include KNN. Naive Bayes and Support vectors both in Theory and Python Code. KNN Imputation technique is also explained in this branch.
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