A Model On :-

Malaysian Housing Price Prediction

A Data Analysis and Machine Learning Approach

Utilizing advanced machine learning techniques and statistical analysis to predict condominium prices with precision. This comprehensive project combines descriptive statistics, exploratory data analysis, and optimized ML algorithms to deliver actionable insights for the real estate market of housing units in Malaysia.

Project Components

Explore the two main components of our analysis

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1) Data & Statistical Analysis

Developed by Mustaqim Burhanuddin

Comprehensive exploratory data analysis including distribution analysis, correlation studies, and descriptive statistics to understand market patterns and key price drivers.

Explore Analysis
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2) ML Predictive Model*

Developed by Eliot Boda

Advanced machine learning models trained and optimized for accurate price predictions. Explore the live Streamlit app to estimate Malaysian housing prices using the selected best-performing model.

Open ML App