PrediksiRumahJakarta

Overview

A web-based machine learning application that predicts housing prices in Jakarta based on input parameters like location, square footage, and amenities.

The Challenge

Tackled the end-to-end data science pipeline: data collection, preprocessing, dimensionality reduction (PCA), training models (Linear Regression, SVR, Decision Tree), hyperparameter tuning, and finally deploying the best model via Flask.

Core Tech Stack

Key Features

• 01 Scikit-Learn Model Integration
• 02 Interactive Prediction UI
• 03 Data Preprocessing Pipelines
• 04 Flask API Endpoints