You should check the name of each csv file in the "validation" folder, it's not the "NE ID" + "_" +"day"
Check it well, there's huge similarity between the ID in the test files and the name of every csv file, I'm sure you'd sort it out with this information
If you check the length of the submission sample, or even the total number of csv files in the "validation" folder(both are 1932), there should be 1932 unique ID's in your test set
Please, I have been having difficulty loading the data on colab. How can I load the data? Can you help me simplify the process either loading it on colab or jupyternotebook
You should check the name of each csv file in the "validation" folder, it's not the "NE ID" + "_" +"day"
Check it well, there's huge similarity between the ID in the test files and the name of every csv file, I'm sure you'd sort it out with this information
Thank you. Now everything has come together. The similarity was 1000 lines
And how many lines in the final submission are 1932 or 1958?
If you check the length of the submission sample, or even the total number of csv files in the "validation" folder(both are 1932), there should be 1932 unique ID's in your test set
So that's the problem that I still have an old submit in 1958.. And the new test in 1932 lines gives an error
Please, I have been having difficulty loading the data on colab. How can I load the data? Can you help me simplify the process either loading it on colab or jupyternotebook
I'm using jupyter notebook on vs code, before i answer, which data?
The csv files?
If so, load it normally.
You'd just have to write some codes to get your own data personally.
Both the training and test data. The data that I downloaded is a 50,026KB Rare fille. How do I load this
And the validation
If you mean 'rar', yea, you'd have to unzip it first, then you'd have access to the
the