This repository contains an end-to-end solution for a Loan Approval Prediction Model. The model predicts the likelihood of loan approval based on applicant data. The solution is automated using a Jenkins pipeline for continuous integration and deployment.

Machine Learning Project

The project aimed to develop a machine learning model to predict hospital readmissions for patients with diabetes.

Machine Learning Project

Machine Learning Project

Repository to store studies of machine learning algorithms implemented in artificial intelligence.

My portfolio website regarding data science projects. Some visualization and analysis projects reflect work for PITAPOLICY clients.

Sentiment Analysis of Amazon Baby product reviews using Logistic Regression with Bag of words & n-grams.

This project analyzes tobacco use risk factors using machine learning to predict 'High Confidence Limit' for various demographics. It includes data preprocessing, EDA, and multiple ML models like Linear Regression, Random Forest, and SVM. Detailed results and code are available in the repository.

In the project we built the following algorithms : Decision Tree Classifiier and Regressor, AdaBoost Classifiier , Gradient Boost Regressor

Rock Paper Scissor Image Classification with Tensorflow Keras API

This Project aims to predict the prices of Houses using ML classification algorithms and based on that classify whether the house is "Expensive" or "Not Expensive"

MACHINE LEARNING ALGORITHM MINDMAP

Este projeto, desenvolvido durante o curso da Alura, utiliza o algoritmo XGBoost para prever a presença de doenças cardíacas em pacientes com base em um conjunto de dados clínicos. O modelo foi treinado e avaliado utilizando técnicas de validação cruzada e otimização de hiperparâmetros.

"Welcome to our posture detection and pose classification web application repository! Utilizing Python, Flask, and libraries like Mediapipe, we empower users to monitor and classify human poses in real-time through webcam interactions. Perfect for fitness monitoring and gesture-based interfaces."

K-Nearest Neighbours is a non-parametric supervised learning model, used to make predictions about the grouping of an individual data point.

Complite Machine Learning With Python!

A computer vision-based waste identifier utilizes advanced image processing techniques and machine learning

Aplicação prática de uma rede neural feedforward para tarefa de classificação binária de câncer de mama. Utilizando o dataset Breast Cancer, que contém diversas características de tumores mamários, o modelo é treinado para distinguir entre tumores benignos e malignos.

Machine learning from scratch. All the codes have been written.