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Questions tagged [linear-regression]

Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

0 votes
0 answers
29 views

I was given a project where only using Net Media Value and possibily audience considered , I have to try to estimate sales and unit return of media investment. I was asked to try to apply a Monte ...
Ana Branco's user avatar
5 votes
1 answer
83 views

I am not sure if this is the right place to ask, but I have two fecundity datasets per year. One for males, the other for females: To give an excerpt of the data: Gender year number born M 1990 1 M ...
Bugsy's user avatar
  • 53
5 votes
1 answer
79 views

LinearRegression has an attribute singular_ which returns "singular values of x". According to a definition I found: "singularity is ... when a ...
Moti's user avatar
  • 53
3 votes
1 answer
112 views

I am running a linear regression model using PySpark, and came across following weird behavior: When I include a constant feature (representing an intercept term), it is ignored completely by Spark. I....
Achrbot's user avatar
  • 139
-1 votes
1 answer
185 views

I followed from this question1,question2. I have the following task to do: I have time series data. Training by the consecutive 3 days to predict the each 4th day. Each day data represents one CSV ...
S. M.'s user avatar
  • 95
0 votes
1 answer
148 views

I have a dataset containing features and a target variable, all of which are numeric values. I wanted to see which variables influence the target variable in what way, if at all, and thought a ...
ryan's user avatar
  • 1
0 votes
0 answers
56 views

I was wondering if anyone has tried to use a LightGBM to estimate the alpha and beta of a linear regression model. I am looking into this because I am seeking an interpretable model. A direct lgbm ...
Phun's user avatar
  • 101
3 votes
1 answer
80 views

I am a newbie in machine learning. After days of studying the ideas of machine learning, I have made some conclusions, which are below (I only consider supervised learning). Step 1: Data splitting ...
Student coding's user avatar

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