Loan Prediction Using Machine Learning Models

This is a Breast Cancer Detection project with unsupervised learning algorithmic approaches alongside Naive Bayes Classifier Algorithm, Logistic Regression and GaussianNB.

Machine Learning

Naive Bayes Algorithm Implementation and Use Cases (Gaussain Naive Bayes, Multinomial Naive Bayes)

Implemented Naive Bayes text classifier for the 20newsgroups dataset

Fundamental ML algorithms in Python.

Using K-Nearest Neighbour (KNN) and Support Machine Vector (SVM) to compare analysis on a subset of the CMU Pose, Illumination, and Expression (PIE) Dataset.

Using Machine Learning to predict which news article belongs to which news group.

Implementing a Gaussian Naive Bayes classifier in Python and R

A simple program using gaussianNB Classification technique to predict data

Fast explication of Gaussian NB

This project aims to reduce the time delay caused due to the unnecessary back and forth shuttling between the hospital and the pathology lab. Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India.

Performing a classification task using Gaussian Naive Bayes

Gaussian Naive Bayes classification algorithm from scratch in python.

A basic project to implement Gaussian Naive Bayes.

Supervised Learning - Finding Potential Donors for CharityML

Gaussian Naive Bayes Basic Implementation In Python. Kindly refer to the PDF report for in depth discussion.

Exploring the world of Bioinformatics using various machine learning algorithms