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NRI's Data Scientists Attempt to Predict NFT Prices (Part 1)

NFT Price Prediction Challenge(road to "Appraiser" of digital art) Hello everyone, we are Naohiro Manabe, Ryuichi Kikkawa, Kazuteru Hirahara, and Ryo Nakai, data scientists of the NFT analysis team from Nomura Research Institute, Japan. "…

Practical Theory for Time Series Forecasting Models 4 -A Case of the Past Kaggle Competition-

Satyaki Roy, Shimpei Ikeno, and Yuta Suzuki Global ML-powered methods such as Gradient Boosted Trees for time series Why do we need global models? In the last blog post, we saw how to train and forecast individual time series data and aggr…

Practical Theory for Time Series Forecasting Models 2 -A Case of the Past Kaggle Competition-

Part2 EDA and Base Model Shimpei Ikeno, Satyaki Roy, Yuta Suzuki, and Takeru Sone2022-07-12 In Part I… We introduced our approach to building a practical multivariate time series forecasting model. We introduced the data set from a past Ka…

Practical Theory for Time Series Forecasting Models -A Case of the Past Kaggle Competition-

Part1 EDA and Base Model Shimpei Ikeno, Satyaki Roy, Yuta Suzuki, and Takeru Sone2022-07-12 Purpose of This Blog Series: Introduce How to Use a Practical Multivariate Time Series Forecasting Model Welcome to our Data Science Blog! I am Shi…