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Data Science : Recent Questions and Answers (Page 79)

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

How to see/change learning rate in Keras LSTM?

I see in some question/answers that ask to decrease the learning rate. But I don't know how can I see and change the learning rate of LSTM model in Keras...

Asked on 07/13/2021

1 answer

Poisson distribution, Standard deviation, fitting line

Let's say I have system A, B, C, and D. Each system contains 10,000 numbers generated by Poisson distribution. The difference is the mean is different for different systems. I...

Asked on 07/13/2021

2 answer

Issues in plotting Images using Keras

I am trying to visualize Skin Cancer Images using Keras. I have imported the images in my notebook and have created batch datasets using Keras.image_dataset_from_directory. The code is as follows:...

Asked on 07/13/2021 by Anubhav Sachdev

1 answer

Output of a network to it's input, keras

I'm trying to create a neural network in keras for time series forecast. I've build a concept, and now I'm not quite sure if it is possible to implement using...

Asked on 07/13/2021 by Georgy Firsov

0 answer

IterativeImputer - Returning -0 and other wierd results

I am using IterativeImputer to impute my dataset.from sklearn.experimental import enable_iterative_imputer from sklearn.impute import IterativeImputerimp = IterativeImputer(random_state=0, max_iter=100, verbose=10)imp.fit(hosp)hosp_imputed = pd.DataFrame(imp.transform(hosp), columns=cols)...

Asked on 07/12/2021 by Smitha

1 answer

First Differencing to remove seasonality and trends

I am trying to remove seasonality and trends from my time series data. I found this post that said to use df_diff = df.diff().diff(12).dropna() (https://www.tobiolabode.com/blog/2020/12/30/how-to-convert-non-stationary-data-into-stationary-for-arima-model-with-python). I don't...

Asked on 07/12/2021 by user118151

1 answer

What should be the input shape for convLSTM if ResNet-50 is applied?

I have a dataset 12 videos. Each video is comprised of 179 frames. On these frames, I have applied ResNet-50 to extract features, and I received (179,7,7,2048) features. As far...

Asked on 07/12/2021

0 answer

Handling a large dataset consisting of npy files

I have a high number of npy files (448 files) each consisting of around 12k frames (150x150 RGB images) which together make the input to my neural network (X). However,...

Asked on 07/12/2021 by Amin Marshal

1 answer

the missForest function in R doesn't work

I'm trying to use the function missForest() of the library 'missForest' but I always get the same error message. This is the code: libraries:library(dplyr)library(naniar)library(missForest)data:url <- 'https://archive.ics.uci.edu/ml/machine-learning-databases/credit-screening/crx.data'crx <- read.csv(url,...

Asked on 07/12/2021

1 answer

Avoid hardware limitation while competing in Kaggle?

I've learned machine learning via textbooks and examples, which don't delve into the engineering challenges of working with "big-ish" data like Kaggle's. As a specific example, I'm working on the...

Asked on 07/12/2021

1 answer

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