All Questions
Tagged with regressionpython
239 questions
5votes
1answer
28views
Wind Power Data Analysis - Python
I am seeking some help and or perspectives in solving a problem. I have a dataset (accessible here) with the following columns: DATE: this is the date in dd/mm/yyyy format HH: this is the "half-...
2votes
0answers
51views
Reverse engineering what stocks are in a dummy ETF using regression (lasso, ridge, etc) in Python
I'm trying to reverse engineer what stocks are in a ETF using python. In my code, I create a fake ETF that is equal weighted 20 random stocks. I then try to reverse engineer whats in my ETF using ...
- 29
2votes
1answer
53views
Is a two-phase model (ensembling/stacking) a valid approach for forecasting product demand?
I am working on a project to forecast food sales for a corporate restaurant. Sales are heavily influenced by the number of guests per day, along with other factors like seasonality, weather conditions,...
- 21
0votes
0answers
27views
CNN for gaze regression predicts near the mean
I am currently building my first CNN network on my own for a regression task for which the network must predict the coordinates I am looking at on my screen based on an input image taken through my ...
- 51
0votes
0answers
38views
P value for partial least squares regression in python
is there a way to calculate Pvalues for Partial Least Squares (PLS)? Or any preferred method to evaluate coefficient significance for PLS method? Preferably done in python
- 11
0votes
1answer
143views
Beta Regression Model in Python for Effect of Marketing Campaign B Membership on CTR
I am trying to build a model to estimate the ATE of Campaign B (B1) on CTR (Click-thru-Rate), with Campaign A as the baseline (B0), represented by column 'a_or_b'. Other exogenous variables are: '...
0votes
1answer
116views
Build a Neural Network for Multi-output Regression
I have a network model that accepts about 25 inputs and outputs 3 actions. The outputs are: delta X and delta Y of the robot and the angle of the robot. After I enter the data into the model, I get ...
- 1
1vote
1answer
171views
What's wrong with my implementation of an MLP?
I'm trying to predict housing prices from a Kaggle dataset using an MLP with 3 hidden layers (10 neurons each). Having read about MLPs and backprop in the CS229 notes, I tried to do my own ...
0votes
1answer
206views
Understand and compute confidence interval and coefficient of variation for regression model
I would like to better understand the concepts of: coefficient of variation and confidence interval. Trivially taking the definitions from wikipedia: confidence interval (CI) In frequentist ...
- 1
0votes
1answer
214views
Can lag features be applied into test data without label?
can lag features be applied into test data without label? I've been wondering. I tried to build random forest model using dataset: training data (with label Y) and testing data (without label Y). The ...
- 141
0votes
1answer
839views
How to assign sample weight for regression problem
I'm trying to model a forecasting problem where I'm trying to forecast for the following month. I am using LightGBM Regressor class for it and it giving me a decent ...
0votes
1answer
122views
calculate the predicted value based on coefficient and constant in python
i have the coefficients and the constant (alpha). i want to multiply and add the values together like this example. (it has to be done for 300000 rows) Prediction = constant + (valOfRow1 * col1) + (-...
0votes
1answer
66views
How can I solve this kind of problem about predicting the sequence of once in life events?
So let's imagine I have a dataset of children. For each of them a have a bunch of characteristics (generation, gender, race, class, urban/rural, religion, bmi, number of siblings etc..) and plus the ...
0votes
2answers
248views
How to apply supervised machine learning when the target variable depends on multiple rows (with varying number of rows)?
Here is a example dataset that resembles the one I am using. Let's call one row = one experiment. I'm trying to predict Y based on features X1 through X7 The problem I am facing is very similar to ...
- 1
0votes
0answers
105views
how to predict the arpu for a monthly cohort dynamically?
The main idea of this project, is to predict the ARPU (Average Revenue Per User) 11 month after subscription of a cohort with a monthly subscription, using minimum number of delays (a delay is a month ...
