All Questions
Tagged with datadata-science-model
41 questions
1vote
1answer
40views
Handling negative/near-zero EPS in financial time series analysis - ratio metrics vs raw data approach?
I'm working with financial time series data on a large global universe of companies. Specifically using fundamentals from FactSet right now, and my question concerns earnings per share (EPS), and I'm ...
- 111
1vote
1answer
32views
I have some topics from python out of which I want to know the one which actually needs to be studied for data science roles specifically
The topics are as follows: Collections Itertools Regex and parsing Error and exceptions Date and time
1vote
1answer
481views
Should I apply the same data transformations in production for my classification model's inference steps
I am now moving my best classification model to production and doing tests currently. Should I use the same scaler() I used in training during my inference in ...
1vote
0answers
33views
Determining the start and stop of vehicle movement by GPS
There is a large fleet, slightly more than a million vehicles, which is constantly growing. Each vehicle sends GPS coordinates to the server, as well as events (ignition is on, door is open, parking ...
1vote
1answer
64views
Making a netcdf data using xarray
I am very very new to the world of data science as I only started using it in my new job so I would really appreciate help from the community experts (maybe also in simple words :)). I am trying to ...
- 125
-3votes
1answer
41views
What to do if your model's prediciton result wrong because of unlucky?
Have you ever had a situation where your model backtested with very good with historical data, and you also felt that your model was very logical? But when put it into practice case to predict the ...
1vote
1answer
53views
How to increase retention?
As you might already know there is a concept of retention. Let's say I have created a game and today hundred people have downloaded my game. Let's say tomorrow 47 out of yesterday's hundred people are ...
- 121
1vote
1answer
498views
How to find correlation between features and labels when features are unordered words?
I have a data set with ~ 85 labels and a target (house price) I wish to explore the correlation between the labels and the effect it has on the target. I have some features that number and others that ...
- 11
0votes
1answer
33views
How to train a regressor model on data that has duplicate subjects but different records for each?
I am working on a dataset that is as follows (just an example): prop_subj prop_comp bed_subj bath_comp sqft_subj sqft_comp A B 2 1 1002 1006 A C 2 2 1002 1075 A D 2 2 1002 1000 B G 2 1 1002 978 B F 2 ...
1vote
0answers
11views
Can I know if there's anyway to download Tableau report from server along with Title and Description in excel form?
I would like to download a Tableau report with the title footer and description written in Crosstab as it gets in PDF?
- 11
5votes
4answers
421views
Calculating Potential Usefulness of Acquiring Additional Data [closed]
Imagine Anne has a labeled training dataset for a machine learning prediction problem. There is an opportunity to acquire more data from an agent, at a cost. However, before she decides to acquire ...
- 59
0votes
0answers
19views
Where should I find electrolytic capacitor ageing data
I am trying to get a dataset of Electrolytic capacitors ageing and I am not being able to find one that shows the ripple current and the voltage in order to calculate its Equivalent Series Resistance (...
2votes
1answer
839views
HyperOpt: Finding the best modeling based on precision or f1 score
I have been using the hyperopt for 2 days now and I am trying to create logistic regression models using the hyperopt and choosing the best combination of parameters by their f1 scores. However, ...
- 31
0votes
1answer
116views
Can I include a quotient as dependent variable and independent variables with same denominator in a linear model? How do we interpret such models?
I want to create a model in a food processing plant where my dependent variable is Electricity (KWhr) consumption per kg. Plant produce different food items with varying electricity consumption. I'm ...
- 263
0votes
1answer
61views
Predicting Antennae Coverage using SPLAT
I have been trying to predict the network coverage based on antennae characteristics (such as height, lat and long etc). Came across this package which seems to be dormant now (https://github.com/NZRS/...
- 23
