♂️♀️ 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.

This is a Loan Approval Prediction Web App built with FastAPI (Backend) and HTML, CSS, JavaScript (Frontend). It predicts whether a loan application will be approved or not approved based on user input.

Diabetes Prediction using Machine Learning

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

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

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;

A method for predicting NAG interacting residues in a protein from its primary sequence

Build a machine learning model that could predict flight fares based on features like airline, journey date, duration, number of stops, and more.Achieved 82% accuracy (R²) with Random Forest on flight fare prediction using real-world airline data.

Plasma cell-free DNA hydroxymethylomes discriminate disease state in EGFR-mutant non-small cell lung cancer.

A face mask detector using multiple frameworks.

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

📊 [ML] Classification Problem Solution: Guessing the type of a corrupted file

Movies Recommendation System

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

Hobbyist AI/ML project: Transparent AI-powered candidate screening with 4-level data pipeline. React/TypeScript ATS for ML experimentation. Educational only.

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.

AI internship projects: Handwritten Digit Recognition using neural networks and Customer Churn Prediction using machine learning models.