♂️♀️ Detect a person's gender from a voice file (90.7% +/- 1.3% accuracy).

Proyek pertama predictive analytics untuk membangun model machine learning yang dapat memprediksi harga sewa rumah dan apartement di India.

Machine learning for 100 days

The aim is to build a predictive model that can accurately classify whether the employee is likely to leave or the employee is likely to stay in the company. This allows companies to take proactive measures, such as improving working conditions, offering promotions, or addressing dissatisfaction, to retain valuable employees.

Diabetes Prediction using Machine Learning

This is a Supervised Learning Model which predicts the Price of Real Estate in Madrid, Spain.

ML model deployment using docker, kubernetes; API deployment with FastAPI; and MLOps using MLFlow for water potability dataset

Predicts the price of the car based on the input parameter.

Movies Recommendation System

Splitting the advertising data (advertising.csv) into training and testing data sets, then choosing and training a classification machine learning algorithm; Getting the accuracy of the ML model; Using feature engineering skills to create new features and improve my ML model;

Implementation of Power Law Graph Transformer for Machine Translation and Representation Learning.

A face mask detector using multiple frameworks.

An Image Classification Model trained on 6000+ images of various plants. When an image is uploaded, it returns whether the plant is poisonous or not. Tri-Valley Hacks 2023 project.

This project focuses on building a customer churn prediction model using machine learning and visualizing the results with Power BI. You will use Python for churn prediction and Power BI for generating interactive reports that display key metrics such as churn rate, customer demographics, and predictive insights.

LyriGenesis is an Introduction to Artificial Intelligence (AI) Final Project. This is an AI model that takes a word or phrase from a user and uses it to generate song lyrics whose length is also based on another input by the user.

Machine Learning Model for Leaf Disease Detection

Machine Learning Model for Predicting Personality Traits

This Machine Learning Model Predict behavior to retain customers in a Telecommunication Company. The focus of the project is on customer retention.

This Machine Learning Model Predict behavior to retain customers of a credit card services.

A FastAPI microservice for predicting iris species based on sepal and petal dimensions. This project leverages machine learning to classify iris flowers into their respective species. (mpsp)