Data Science Questions, Problems & Solutions : TransWikia.com ~ Page 324

How to binary encode multi-valued categorical variable from Pandas dataframe?

Suppose we have the following dataframe with multiple values for a certain column: categories0 - ["A", "B"]1 - ["B", "C", "D"]2 - ["B", "D"]How can we...

Asked on 08/19/2020 by Denis L

1 answer

Positively skewed target label in regression

I have a dataset where the target label is positively skewed and produces a long tail, and currently I have a high residual on these values when experimenting with some...

Asked on 08/19/2020 by Elliot

1 answer

Suitable Autoencoder for Activity Recognition dataset Feature Extraction

I have text data representing sensor outputs. Dataset:1458996986002; 11.43,-15.86,11.20,508.26; -1.59,-0.22,6.17,40.68; 126.0,-150.9,-105.0,49671.81; ...

Asked on 08/18/2020 by Jemshit Iskenderov

1 answer

Neural networks: how to think of it?

I am trying to understand neural networks in easy and visual way, specifically neutral networks used for text classification and analysis.I know that there are several ways to build...

Asked on 08/18/2020 by Luca Di Mauro

0 answer

Can an applied mathematics degree get you into data science?

I was looking at a statistics course (undergraduate degree), and I thought I probably would find doing only statistics a bit dry, and I thought about if doing an Applied...

Asked on 08/18/2020

1 answer

MLPRegressor Output Range

I am using Scikit's MLPRegressor for a timeseries prediction task. My data is scaled between 0 and 1 using the MinMaxScaler and my model is initialized using the following...

Asked on 08/18/2020 by Kam

2 answer

What are practical differences between kernel k-means and spectral clustering?

I've been lately wondering about kernel k-means and spectral clustering algorithms and their differences. I know that spectral clustering is a more broad term and different settings can affect the...

Asked on 08/17/2020 by Kuba_

1 answer

Keras input for multivariate classification with LSTM using current features and previous timesteps features and y values

I am working on a multivariate binary classification problem. What I want to do is to predict a binary classification given the features at the current timestep and the data...

Asked on 08/17/2020 by user76478

2 answer

What is the best way to train a gradient boosted model on a binomial dataset where the number of "observations" for each instance varies?

I have been trying to figure out the best way to train a gradient boosted model on a binomial dataset. To be more clear my dataset is in a format...

Asked on 08/15/2020 by lavendarlemur

0 answer

Choose CNN architecture first, then optimize parameters - validation vs test performance to pick architecture?

I am doing a few experiments on medical data. I am about to transfer learn the pretrained networks for my problem. Firstly, I have to pick a network architecture.Secondly,...

Asked on 08/15/2020 by sob3kx

1 answer

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