These codes are for the kaggle competition Two Sigma: Using News to Predict Stock Movements Use news analytics to predict stock price performance.
This competition is the kernel only competition, there are many duplicated codes because a kaggle kernel should be only a file.
In addition, the competition is a two stage competition.
The stages are
- the first stage ended at January. The final kernels were submitted.
- the final scores will be recomputed at June based on these kernels and the new data.
Therefore, I don't know the private LB score for each kernel.
My submitted kernels are under ./final_kernels .
My final state of the code are ./not_final_kernels/final_local_but_oom_kernel.py
(not submitted due to out of memory while running on kaggle).
- show public lb scores for each kernel.
- add licences for used libraries