Recent questions without answers

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...

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...

# for key, value in dict.items(): # if value >= long: # long = value # long_name = key # if value < sh...

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...

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 ...

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...

Input is a stock price in exponential transformation. We are asked to forecast using ARMA results for 2 years.

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...

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...

from keras.models import Sequential from keras.layers import Dense from keras.layers import LSTM from sklearn.model_selection import train_test_splitmodel = Sequential() ...

Where can I find projects related to battery data?

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 ...

This would be for a company that is just now looking into using a software to track data for wine making.

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...

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...

I am learning a new Salesforce product (Evergage) for the company I work for. In the program's documentation they have listed a set of data objects as an example. It appe...

So, I live in Brazil, and I have a task for college that I don't know what data science method to use, if at all, to solve it. My idea is the following: We Brazilians hav...

I am trying to build an unsupervised ML model to detect anomalies within 5000+ users' login data. I selected 5 features contained within each of the user-login events (e...