data-preprocessing Questions
2
Solved
I defined student_sub_set dataframe as below:
# select the subset of characteristics for the regression
student_sub_set = student[['acad_lang_home', 'absent_freq','tired_freq','sex',
'bullying','l...
Drachm asked 10/3 at 23:36
2
Solved
I'm following one of the online courses about time series predictions using Tensorflow. The function used to convert Numpy array (TS) into a Tensorflow dataset used is LSTM-based model is already g...
Centigram asked 21/2, 2022 at 18:5
3
Solved
I have a dataset
Inp1 Inp2 Output
A,B,C AI,UI,JI Animals
L,M,N LI,DO,LI Noun
X,Y AI,UI Extras
For these values, I need to apply a ML algorithm. Which algorithm would be best suited to find relatio...
Excisable asked 30/4, 2022 at 12:38
4
Preprocessing the training data (such as centering or scaling) before training an XGBoost model, can lead to a loss of feature names. Most answers on SO suggest training the model in such a way tha...
Anesthetist asked 28/2, 2019 at 20:33
1
Solved
Hi I am working on Key Point Analysis Task, which is shared by IBM, here is the link. In the given dataset there are more than one rows of text and anyone can please tell me how can I convert the t...
Verism asked 18/7, 2021 at 13:9
0
Running the code below using mlr3proba and mlr3pipelines and mlr3filters packages of R to implement rpart algorithm on a preporcessed dataset and performing "variable importance", shows a...
Gracye asked 4/5, 2021 at 8:32
1
© 2022 - 2024 — McMap. All rights reserved.