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A TensorFlow implementation of the Transformer model for machine translation tasks. This package includes data loading, model definition, and training scripts for translating Portuguese to English using the TED Talks dataset. The repository provides a complete pipeline from preprocessing the data to training and testing the model.
This repository contains a comprehensive toolkit for sentiment analysis of mental health-related statements using Natural Language Processing (NLP) and deep learning techniques. The project includes data preprocessing, text augmentation, and the development of a Convolutional Neural Network (CNN) model for classification.
This project focuses on predicting stock prices using a univariate linear regression algorithm, built entirely from scratch without the use of any machine learning libraries such as Scikit-learn or TensorFlow.
Submission Dicoding Indonesia - Image Classification using TensorFlow (Kelas Belajar Machine Learning untuk Pemula). Proyek Klasifikasi Gambar Rock, Paper and Scissors.
The Food Price Estimation project focuses on providing estimates of food prices to capture local price fluctuations in regions where people are vulnerable to localized price surges. The project utilizes a machine-learning algorithm designed to predict ongoing subnational price surveys, demonstrating accuracy comparable to direct price measurements.
Contributed to the improvement of risk management practices in the lending industry. Led to more responsible lending practices and reduced financial risks
The Used Car Price Prediction project aims to develop a robust data science solution for accurately predicting used car prices. Leveraging a diverse dataset encompassing essential features like car model, number of owners, age, mileage, fuel type, kilometers driven, additional features, and location, this project aspires to build a powerful machine
In the real estate industry, the determination of rental prices plays a critical role in shaping the interactions between property owners, tenants, and property management companies. The ever-changing nature of the real estate market necessitates a dynamic and data-driven approach to set competitive and fair rental prices.
The "Industrial Copper Modeling" project is designed to enhance your proficiency in data analysis and machine learning, focusing on the challenges posed by complex sales and pricing data in the copper industry. This hands-on project employs advanced machine learning techniques to provide solutions, offering regression models for precise pricing pre