Predicting HDB Housing Prices Using Neural Networks. I will work on a deep dive into the data visualization aspect to derive deeper insights into Singapore HDB housing market for my readers.
Ever wondered how much your HDB is worth besides asking your housing agent? Or wondered what are the main features that have a great impact on your HDB? Seeing that over 92.2% of Singaporean own HDB, I believe these are common questions that most Singaporeans have had, and it would be good to see if I can use data analytics to derive any insights into the Singapore government housing market. The sequential prediction model gives a Mean Absolute Error of $22,429(+/- 571.83)
All data is available on data.gov. The following data analytics project follows a typical methodological approach (CRISP-DM).
In the EDA stages that follows, I will work on a deep dive into the data visualization aspect to derive deeper insights into Singapore HDB housing market for my readers.
The dataset comprises of data spanning from 1990 to 2020. There is a total of 677,114 rows and 10 columns. While there are no null values in the dataset there are a few abnormally (e.g. caps vs uncapped features, etc.). For one, since we are considering flats that are being sold after MOP (Minimum Occupancy Period) any flats that have more than 95 year lease(remaining lease) are removed.
However, in the data set there are large numbers of duplicates and they have been removed.
We supply you with world class machine learning experts / ML Developers with years of domain experience who can add more value to your business.
What is neuron analysis of a machine? Learn machine learning by designing Robotics algorithm. Click here for best machine learning course models with AI
AI, Machine learning, as its title defines, is involved as a process to make the machine operate a task automatically to know more join CETPA
You got intrigued by the machine learning world and wanted to get started as soon as possible, read all the articles, watched all the videos, but still isn’t sure about where to start, welcome to the club.
Machine learning is quite an exciting field to study and rightly so. It is all around us in this modern world. From Facebook’s feed to Google Maps for navigation, machine learning finds its application in almost every aspect of our lives. It is quite frightening and interesting to think of how our lives would have been without the use of machine learning. That is why it becomes quite important to understand what is machine learning, its applications and importance.