python code for real estate price prediction on timeseries dataset by encoder decoder transformer with attention
Budget: $30 – $250 USD
I am looking for a Freelancer to develop a python code that will help predict the future real estate prices using timeseries datasets. This project will primarily involve the use of encoder-decoder-transformers with attention which is an advanced form of deep learning.
The dataset I have is quite large, with more than 10,000 data points. I would prefer that the Freelancer uses PyTorch as the Python library/framework for this project. Additionally, I want to use price history as one of the features for predicting the price. i have i csv file of about 52 mega bytes
This is a complex project and I am looking for a highly experienced Python programmer who has dealt with similar projects before. The Freelancer should have strong experience in working with deep learning neural networks such as encoder-decoder-transformers with attention. Furthermore, a knowledge of real estate prices, price history and other related features is necessary.
As such, if you have the necessary expertise and qualifications, please get in touch with me and submit a bid.
The dataset I have is quite large, with more than 10,000 data points. I would prefer that the Freelancer uses PyTorch as the Python library/framework for this project. Additionally, I want to use price history as one of the features for predicting the price. i have i csv file of about 52 mega bytes
This is a complex project and I am looking for a highly experienced Python programmer who has dealt with similar projects before. The Freelancer should have strong experience in working with deep learning neural networks such as encoder-decoder-transformers with attention. Furthermore, a knowledge of real estate prices, price history and other related features is necessary.
As such, if you have the necessary expertise and qualifications, please get in touch with me and submit a bid.