Estimación de turbidez en el agua a la entrada de la planta de tratamiento de SAMEEP, utilizando los productos Sentinel-2 MSI L2A y aprendizaje automático.

Predicting the probability of a loan applicant paying back the loan.This repository aims to analyze data from different types of personal loans and apply machine learning algorithms to develop a credit risk predictor.

Predicting Marijuana Use Disorder: A Machine Learning Approach

Model to Predict if a customer will purchase a Travel Package

A Natural Language Processing model to perform Sentiment Analysis of US Airline Customers

GenderClassifierApp predicts gender based on facial features using machine learning. It features an intuitive web interface for inputting data and provides instant predictions.

tidyverse, doParallel, caret, randomForest, pdp, glmnet

A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing

**Intro to Statistics**: Discover the fascinating world of statistics with this engaging and accessible guide. Perfect for beginners, this book covers everything from p-values and t-tests to machine-learning models like random forests. Learn through practical examples and R code snippets, and unlock the power of statistical analysis.

AI-Mail-Classifier for Techfest IITB competition

Revolutionary web page designed to provide accurate taxi fare estimates for your travels

A DATA-DRIVEN APPROACH TO ENHANCE CITIZEN SERVICES AND QUALITY OF LIFE

Construct a cutting-edge heart disease prediction application from the ground up, harnessing the power of Django Flask to seamlessly blend functionality and user experience.

This repository contains a detailed analysis of the Spambase Dataset using different classification algorithms, including Logistic Regression, Logistic Regression with Backward Feature Elimination (BFE), Support Vector Machine (SVM), SVM with Normalized Data, Decision Trees, Random Forest, K-Nearest Neighbors (K-NN), and K-NN with Normalized Data.

Predicting Hepatocellular Carcinoma through Supervised Machine Learning

Using R Markdown for Data Analysis, Machine Learning

I had devloped Mashine learning project for minor that is Soil And Crop recomendation system

This project is part of the Statistical Learning course.

This repository contains my AVETTI Commerce internship's reports and predicting accuracy of the models.

A website visualising various classification algorithms