Hi-Trash : Classification of Organic and Inorganic Waste

This project applies two domains, namely Computer Vision and Natural Language Processing using the CNN (Convolution Neural Network) algorithm with an accuracy value of 90%.

Decision Tree Classifier to Predict the Safety of the Car

To complete this project, I learned how to make data analysis (EDA) using the decision tree method with 2 techniques namely entropy and the gini index.

Classification 4 Kinds of Animals With Mobile net Architecture

The architecture chosen is to use Mobile Net which is an architecture from CNN.

Sentiment Analysis of Television Media Impressions Using Logistic Regression and LSTM Algorithms

Build a classification model to identify positive, negative, and neutral sentiments.

Snake Game Using Deep Q-Learning

Making a simple snake game use Deep Q-Learning Algorithm

SmartEye : Suspicious Motion Detection in Supermarkets

Enjoying the "SmartEye" Smart Camera, This project applies domain Computer Vision using the YOLOv8 (You Only Live Once version 8 ) algorithm with an accuracy value of 94%.

Analisis Credit Card Marketing

To complete this project, I used 3 machine learning models (Logistic Regression, RandomForest & SVM) that can predict whether a customer will accept an offer or not.

Airline Passenger Satisfaction

To complete this project, I used 8 methods to find the best model to predict whether passengers are satisfied or not with airplane service.

Prediction of fish prices in East Java

Make a prediction of fish prices for the next three months

Aplication SeniQu

Application created to classify painting art genres