Time Series forecasting & modeling plays an important role in data analysis. The best way to learn #TimeSeries techniques is by applying them on time series data!
Here's a really cool #dataset where you need to
#forecast the traffic for a startup's product. Close to 10,500 data scientists have taken this challenge - can you climb up the leaderboard?https://lnkd.in/fyZiCJt
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv
Here's a really cool #dataset where you need to
#forecast the traffic for a startup's product. Close to 10,500 data scientists have taken this challenge - can you climb up the leaderboard?https://lnkd.in/fyZiCJt
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv
Cool paper written by Yoshua Bengio’s MILA team.
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Paper: arxiv.org/abs/1905.10437
GitHub for M4 dataset: https://lnkd.in/dWP5NmF
#timeseries #deeplearning
✴️ @AI_Python_EN
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Paper: arxiv.org/abs/1905.10437
GitHub for M4 dataset: https://lnkd.in/dWP5NmF
#timeseries #deeplearning
✴️ @AI_Python_EN