All Questions
Tagged with datapredictive-modeling
25 questions
5votes
1answer
49views
How to do Exploratory Data Analysis when my response variable is binary?
I am doing a multilevel regression, and my response variable is binary (presence of females on a tech board). all the EDA methods i know are about plotting correlation, but this as this is a binary i ...
0votes
1answer
96views
Permutation importance question - all zero for the features
I have the following code: ...
1vote
2answers
2kviews
Learning from aggregated data
Online and in the literature there seems to be a general consensus that training a machine learning model using aggregated data is harder and/or fundamentally different from training on raw event data....
0votes
1answer
335views
How to cluster based on sensor data? - My first data science job
I'm on my first (real), data, programming job. As everyone can imagine, this can be quite hard and I learn a lot from it, given I am a data science student in university. However, I am completely ...
-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 ...
0votes
0answers
26views
Can Hip-Hop/music trend be estimated?
How can I determine how an "evolutionary" music album affects the development of its genre? Only two perspectives I can come up with: 1. The effect on the number of songs before and after(...
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 (...
0votes
1answer
28views
How do I decide the frequency of data capture for modeling? How does it affect my final model?
I plan to capture data to predict energy consumption in a food processing plant. I want to capture production details such as how much each category of food is produced, what is the machine's output, ...
0votes
2answers
423views
How match output (pred value) to input value
I'm working with data(with 4 columns which are p(product), M(name of the store)), I want predict the demand of store for that I sued SVR on the data by theses formulation: ...
1vote
1answer
23views
Is there enough datapoints to make a reasonable predcitction?
I am planning to use this dataset (for a school project) in order to determine the most important features in predicting whether a student will receive a placement. Further I would like to create a ...
2votes
0answers
39views
How to aggregate Weather Data from county to state level? [closed]
I am doing a prediction of forest fire risk using the weather data and the fire incident data. I have data related to different county and the weather data on the day of the incident. As the incident ...
0votes
1answer
35views
How to adjust/smooth a certain number using constants or rules
Hi, I am handling a dataset with a customer purchase history. The field ord_cnt represents the purchase without coupon usage, and cpn_ord_cnt represents the purchase with coupon usage. There are two ...
1vote
0answers
23views
Fit model function out defined data range
I have asked this on SO but it has not been well accepted because it seems to be more about data science than programming. Let's say I have a set of data ...
2votes
2answers
4kviews
What is the difference between a data-driven model and an empirical model?
Are they the same? Empirical models, per Wikipedia, are any kind of (computer) modelling based on empirical observations rather than on mathematically describable relationships of the system ...
1vote
1answer
1kviews
How to predict consumer purchase in next 6 months?
I'm working on a model to predict a customer as being 'in-market' for a product in the next 6 months. The dataset has a wealth of information like lifestyle and demographic variables and previous ...