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1 1 vote
1 1 answer
1.6k
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How to analyse imbalanced categorical colum in dataset
Hello,I have a dataset with a categorical column that contains three categories. One of the categories represents 98% of the data, while the remaining 2% are distributed ...
0 0 votes
0 0 answers
1.3k
1.3k views
When to use one hot encode a category and when to segment by category?
When pre processing data for machine learning. Is there any difference in using one hot encoding to turn categoric variables into numeric variables or to segment the data...
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1 1 answer
7.6k
7.6k views
How to calculate the residual errors, (MSE),(MAE), and (RMSE)?
Given the following sample dataset with 5 samples and 2 features:SampleFeature 1Feature 2Actual ValuePredicted Value1234623456345674567856789Calculate the residual errors...
0 0 votes
0 0 answers
1.3k
1.3k views
Can you verify the validity of this chart comparing the review scores for Marvel Phase 4?
I have some skepticism about the validity of the charts below comparing the critic and audience reviews for Phase 4 of the MCU to the previous 3 phases. There are over 18...
0 0 votes
0 0 answers
1.4k
1.4k views
Which code has best runtime and why?(the one commented or the other one)
# for key, value in dict.items(): # if value >= long: # long = value # long_name = key # if value < sh...
0 0 votes
0 0 answers
1.5k
1.5k views
Creating tables from unstructured texts about stock market
I am trying to extract information such as profits, revenues and others along with their corresponding dates and quarters from an unstructured text about stock market and...
0 0 votes
0 0 answers
1.3k
1.3k views
How do I compare the count of a value in each year while having a different sanple size each year.
How do I accurately compare between the number of something a survey measure from my employees each year with a varying umber of survey engagement and employee size?If I ...
0 0 votes
0 0 answers
1.4k
1.4k views
Is it possible to make a forecast of a future value of Air Temperature using Fast Fourier Transform?
Is it possible to make a forecast of a future value of Air Temperature using Fast Fourier Transform, if yes, what should be the process or how you'll be able to do it. Th...
0 0 votes
0 0 answers
1.3k
1.3k views
forecast log transformed fitted values for 2 years using ARMA model
Input is a stock price in exponential transformation. We are asked to forecast using ARMA results for 2 years.
0 0 votes
0 0 answers
1.5k
1.5k views
Kmeans clustering in python - Giving original labels to predicted clusters
I have a dataset with 7 labels in the target variable.X = data.drop('target', axis=1) Y = data['target'] Y.unique()array(['Normal_Weight', 'Overweight_Level_I', 'Overweig...
0 0 votes
0 0 answers
1.0k
1.0k views
Bankruptcy prediction and credit card
Hello everyone newbie data scientist here.I'm working on a project to predict companies (probability of default) bankruptcy probability and to assign them a credit rating...
0 0 votes
1 1 answer
1.8k
1.8k views
how to output f1-score instead of accuracy
I have the code below, outputting the accuracy. How can I output the F1-score instead? Thanks in advance,clf.fit(data_train,target_train) preds = clf.predict(data_test) #...
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0 0 answers
991
991 views
I cannot get this code to work. please help.
from keras.models import Sequential from keras.layers import Dense from keras.layers import LSTM from sklearn.model_selection import train_test_splitmodel = Sequential() ...
0 0 votes
0 0 answers
992
992 views
Battery data projects
Where can I find projects related to battery data?
1 1 vote
0 0 answers
1.1k
1.1k views
How can you build dynamic pricing model with data only from rigid pricing?
I want to build a dynamic pricing model which means if product is too expansive for a client and there is a risk that we might loose a client we lower the price for them ...
0 0 votes
0 0 answers
809
809 views
What analytical software would be good for a company to use?
This would be for a company that is just now looking into using a software to track data for wine making.
1 1 vote
1 1 answer
1.4k
1.4k views
When dealing with categorical values, should the 'year' column be encoded using OHE or OrdinalEncoder?
It's a car prices dataset, and so I'm assuming that the more recent the more value a car should have. The values in the 'year' column simply consist of years from 1995 to...
0 0 votes
0 0 answers
549
549 views
How do I know which encoder to use to convert from categorical variables to numerical?
So say I have a column with categorical data like different styles of temperature: 'Lukewarm', 'Hot', 'Scalding', 'Cold', 'Frostbite',... etc.I know that we can use pd.ge...
0 0 votes
0 0 answers
1.9k
1.9k views
ValueError: Length mismatch: Expected axis has 60 elements, new values have 2935849 elements
I'm creating a new data frame with the most used items grouped together. But I got the following error when grouping through ID and items. ValueError: Length mismatch: Ex...
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