Dear All,
I really need your assistance,
I have a dataset with 1005000 rows and 25 columns,
The main column that I repeatedly use are Time, ID, and Reputation
First I sliced the data based on the time, and I append the sliced data in
a list called "df_list". So I get 201 lists with 25 columns
9FDF2>
Le lun. 20 avr. 2020 à 12:44, Souvik Dutta a
écrit :
> No no I did not tell you to do it in that way. I said you could try
> putting the whole the code in the .py file in a for loop. That is:-
> for a in range(10):
>
>
> On Mon, 20 Apr, 2020, 1:55 pm hanan lamaazi,
e any other solution? or what is wrong with those
expressions?
Thank you
Le jeu. 16 avr. 2020 à 16:57, Souvik Dutta a
écrit :
> Do you want to run the code many times after just clicking run once? If so
> then I think grouping the whole program in one for loop would do the task.
>
> Souv
Dear All,
I just start the self learning of python, and I tried to use it in jupyter
notebook. I work on real dataset and I used pandas for that. Now my problem
is I developed two separate code but dependent the first one should run to
give me samples from my dataset and do the clustering (I use
Dear all,
I'm actually using the K-means algorithm for clustering, and scikit-learn
machine learning in python.
when I want to print my "score_accuarcy" using this command
>print(metrics.accuracy_score(y_test, y_pred))
I get the following error :
"Classification metrics can't handle a mix o
