Principle Component Analysis Clustering Visualization for Iris dataset

In this study, after detailed Exploratory Data Analysis, 5 different machine learning models were tested on Titanic Data to answer the question "What sorts of people were more likely to survive?" and the best model for survival prediction was determined.

Multinomial Naive Bayes and Gaussian Naive Bayes for 20 news groups and Image Classification. NN Cifar100 Example

Prevendo Customer Churn em Operadoras de Telecom

Gaussian naive Bayes classifier for digits in the MNIST dataset. Similar in nature to my other repo ("newsgroup-naive-bayes"), albeit instead of multinomial document classification, this repo explores gaussian image classification. Covariance smoothing utilized to minimize error rates to the ~4% realm.

Gaussian Naive Bayes Classification on raisin dataset.

Projects of CS60050-Machine Learning course for Spring semester-2023

Explore my GitHub repository for supervised machine learning models! It features various algorithms and datasets implemented in Python.

Predict which user is going to buy a product displayed on a social network advertisement using different classifier.

The sinking of the RMS Titanic is one of the most infamous shipwrecks in world history. In this model, need to analyse what sorts of people were likely to survive. We also need to apply the tools of machine learning to predict which passengers survived in this tragedy.

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.

Predicted sepsis 6 hours before onset using classic machine learning and ensemble models

Develop machine learning models that detect diseases from blood test data. Utilizing machine learning, it analyzes patterns and predicts potential health conditions, offering users early insights for proactive care.

LDA(Linear discriminant Analysis) for Wine Dataset in machine learning

Using Machine learning algorithms on the famous Titanic Disaster Dataset for Predicting the survival of the passenger.

If you miss payments or you don't pay the right amount, your creditor may send you a default notice, also known as a notice of default. If the default is applied it'll be recorded in your credit file and can affect your credit rating. An account defaults when you break the terms of the credit agreement.

Implementation of Naive Bayes Classifiers without Libraries

Gaussian Naive Bayes is a probabilistic classification algorithm that makes use of Bayes' theorem and assumes that features are normally distributed within each class. This description provides an overview of the algorithm's mathematical formulation and highlights its vectorized computations.