To create a classification model to predict the gender (male or female) based on different parameters using given csv file.

The purpose of this project is to develop a machine learning model that predicts employee attrition (whether an employee will leave the company) and department assignment (which department an employee belongs to) based on various factors. These factors include age, travel frequency, education level, job satisfaction, marital status, and more.

Machine learning with sklearn

Prática de Árvore de Decisão

GridSearchCV For Model optimization

To create a classification model to predict whether a person makes over $50k a year

Non-profit foundation funding predictor using deep learning and neural networks.

The purpose of this project was to analyze and predict housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on.

Machine Learning project on Classification before and after poisoning skin cancer images with Adversarial Attacks

This ML⚒ project is to prove the dependencies of a motor🛠 in an everyday pump system👷‍♂️👨‍🏭

Prevendo o Nível de Satisfação dos Clientes do Santander.

work on different Algorithm and technique for preproccesing Data

Develop a model that can assess and predict loan risk using supervised machine learning.

Develop a tool in Google Colab using machine learning and neural networks to select applicants for funding with the best chance of success based on the source data provided by the organization.

A binary classifier that is capable of predicting whether applicants will be successful if funded

Bangalore House Price Prediction by KNN