EDA and Prediction of F1 Race WInners

Short Stories Recommendations.

AI/ML Project on Breast Cancer Prediction (Python) using ML- Algorithms : Logisitic Regression, Decision Tree Classifier, Random Forest Classifier, Support Vector Machine Classifier, Gaussian Naive Bayes Algorithm Model, Stochastic gradient descent Classifier, Gradient Boosting Classifier . And also perform a comparative analysis of all the seven algorithms & conclude to the best ML-Model.

Mushroom Classification Using Machine Learning

This repository hosts the code for a Crop Prediction Machine Learning project. The project aims to assist farmers and agricultural enthusiasts in making informed decisions about crop selection by leveraging machine learning and environmental data.

A presentation on the performance of different machine learning approches in respect to basic classification of images. Created during a university trip to FHSW in Würzburg.

Applying Gaussian Naive Bayes algorithm on wine quality dataset.

Practical implementation of Naive Bayes Classifier using Python

This notebook classify emails as spam and ham.

Comparative analysis of 5 ML models for Loan Approval Prediction, assessing the impact of preprocessing and RFE feature selection.

Naïve Bayes Classifier is one of the simple and most effective Classification algorithms which helps in building the fast machine learning models that can make quick predictions. It is a probabilistic classifier, which means it predicts on the basis of the probability of an object.

Classification of Body postures using different ML algorithms and comparing their performances.

Implemented Gaussian Naive Bayes Classifier from scratch

This repository contains the implementation of a Heart Attack Prediction model using the Gaussian Naive Bayes algorithm. The dataset used is heart.csv, which includes various medical attributes to predict the likelihood of a heart attack. The project demonstrates data preprocessing, model training, evaluation, and visualization of the results.