Aplicação web onde você consegue treinar um modelo de Machine Learning para classificar uma pessoa como do sexo masculino ou feminino com base em seu nome.

This project combines machine learning with data science implemented in a python environment. Completed as my Master's degree practicum, it displays skills in data analytics as well as intermediate level python development using serializing and de-serializing a Python object structure (Pickle File).

Machine Learning Academic Project

EquiInsight is a specialised user-friendly platform made for investors, analysts, and financial professionals who specialise in equity markets. It is intended to make information retrieval simple. To get pertinent insights from the stock market and financial sphere, users can ask queries and input the URLs of articles.

Spam Email Detection:NLP Project using NLTK

Industrial Copper Modeling optimizes pricing decisions using advanced ML. Predict sales with accuracy, classify leads, and streamline decision-making.

"Empower your messaging experience with our spam SMS classifier! Instantly distinguish between spam and legitimate messages, helping you prioritize and manage your inbox effectively."

Predicts whether a person will churn or not based on historical customer data.

Robust credit risk model that go beyond traditional credit scoring methods in banks

This project is a web application designed to predict credit card worthiness using a machine learning model .

Create a comprehensive full-stack project that utilizes Artificial Intelligence (AI) to predict rainfall and provides a user-friendly interface for users to interact with. The project aims to leverage machine learning algorithms and data visualization techniques to provide accurate rain predictions, helping individuals and organizations make inform

Random Forest ML model implemented with a front end Flask API for a bank note authenticator application.

It seems like you have a project that involves modeling industrial copper data using Python and several libraries such as pandas, numpy, and scikit-learn. This is a common and practical approach, as these libraries are widely used for data manipulation, analysis, and machine learning tasks.

flask based web app used to detect spam messages using machine learning

It is a short project of bank recognition using Machine Learning approach and use Tkinter framework as UI

It is a realtime Face Detection and Recognition Model developed using python.

It is a website that utilize machine learning model to predict the probability of getting placed and salary.

The Compressive Strength Predictor is an android application that utilizes ML model trained on dataset and an Flask API deployed on AWS EC2 instance to estimate the compressive strength of a material based on four input parameters: Grade, UPV (Ultrasonic Pulse Velocity), Rebound, and Age