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Data Science : Recent Questions and Answers (Page 278)

Find answers to your questions about Data Science or help others by answering their Data Science questions.

pass variable length argument to mstats.kruskalwallis

I am trying to run kruskawallis test on multiple columns of my data for that i wrote an functionvar=['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z']def kruskawallis_test(column): k_test=train.loc[:,[column,'SalePrice']] x=pd.pivot_table(k_test,index=k_test.index, values='SalePrice',columns=column)...

Asked on 12/17/2020 by Ayush Ranjan

1 answer

Sliding window approach using SVR & LightGBM

I'm working on a multivariate time series forecast using a couple of ML algorithms (Neural Networks, Support Vector Machines & Gradient boosting algorithms). I need to measure the performance of...

Asked on 12/17/2020 by dragan zrilic

1 answer

Sentiment Analysis on long and structured texts

I'm trying to learn how sentiment analysis based on machine learning techniques works by reading guides online and papers from the academia world and I'm struggling to understand the following:Why...

Asked on 12/17/2020 by Luca F.

2 answer

How to model a non linear distribution using logistic regression

To put us on the same page the goal for a logistic regression is to determine a vector of real numbers which will serve as coefficients producing a linear combination...

Asked on 12/17/2020 by naftalimich

0 answer

how do I know if my model is overfitting from a learning gragh?

this is the learning graph of the loss metric vesus epoch number o my model is My model overfitting ?...

Asked on 12/17/2020 by abby

1 answer

Modeling count data with time-dependent rate

For processes of discrete events occurring in continuous time with time-independent rate, we can use count models like Poisson or Negative Binomial. For discrete events that can occur once per...

Asked on 12/17/2020 by Bridgeburners

0 answer

Using keras with sklearn: apply class_weight with cross_val_score

I have a highly imbalanced dataset (± 5% positive instances), for which I am training binary classifiers. I am using nested 5-fold cross-validation with grid search for hyperparameter tuning. ...

Asked on 12/17/2020 by AylaRT

2 answer

PCA results in weka explanation and extracting features from it

I'm working on KDD CUP'99 dateset. Training and test set are different datasets. after pre-processing I got 25 attributes. I applied 4 different classifiers through PCA in WEKA(classify tab). Now,I'm...

Asked on 12/17/2020 by Marwa A.

0 answer

Why MADDPG rather than taking all cooperating agents as a single meta-agent?

Since MADDPG uses a centralized critic for training, why not simply treat all cooperating agents as a single meta-agent with a concatenated observation space and a concatenated action space? In...

Asked on 12/17/2020 by Forrest Wei

1 answer

Reshaping Numpy arrays

I am having a problem trying to reshape my numpy array. i have a 2 dimensional array and i want to make it a 3D array. I have looked everywhere...

Asked on 12/17/2020 by Thembekile Mkhombo

2 answer

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