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1. Data Collection
Gather historical data on:
Indian General Election dates and outcomes.
Historical stock market data (e.g., BSE Sensex and NSE Nifty).
Macroeconomic indicators (e.g., inflati…
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### Describe the workflow you want to enable
I want to be able to use multiple estimators in one pipeline. E.g.
```python
from sklearn.pipeline import Pipeline
from sklearn.linear_model impor…
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Task.
- Implement Explainable AI for 'Linear regression' over existing and new models.
- Can take any sample use case data from [Scikit-learn examples.](https://scikit-learn.org/stable/auto_examples…
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Having just added quantile regression to the GLS category, I'm realizing that the category name doesn't really work that well. Quantile regression is not a least-squares method but there's not really …
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We have issues for using Mallow's or Schweppe's weights but I don't see any functional form for it.
We need references and functions for those.
Then we could use var and freq weights in GLM, based…
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In Content section in ReadMe file, when clicked on 'Linear models for classification' it's showing Linear models for Regression.
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This project aims to predict the estimated marks and grade of students based on various inputted factors using given dataset from Kaggle :
https://www.kaggle.com/datasets/nikhil7280/student-perfor…
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**Description:**
I am proposing an enhancement for the `Forecaster` class in the `functime` library, specifically to support setting `lags=0` in classes that inherit from `Forecaster`, such as `lin…
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### Description
The regression model includes frequentist, but not (yet) Bayesian logistic/generalized linear models
### Purpose
Expand JASPs excellent Bayesian capabilities further beyond linear r…
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## Introduction
This branch was initially created to work on the project's notebook, aiming to record the process comprehensively. However, upon review, I identified gaps in our analysis, particula…