Top 6 Python linear-regression Projects
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llm4regression
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
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Self_Taught_Machine_Learning
I have had trouble in the past finding a place where I could learn about statistical learning algorithms, resources as to how to learn them and the code associated with it. This is my attempt at remedying that issue.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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HDB_Resale_Prices
Predicted and identified the drivers of Singapore HDB resale prices (2015-2019) with 0.96 Rsquare & $20,000 MAE. Web app deployment using Streamlit for user price prediction.
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Rating-Correlations
Predicts chess960 or crazyhouse ratings given bullet or blitz and others for either Lichess.org or Chess.com servers.
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Machine-Learning
A repository of my ML projects for Machine Learning course (SC349) at Northwestern University (by YaelBenShalom)
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ols_regression
OLS regression with possibility of controlling for fixed effects and robust standard errors
Project mention: LLM Is a Capable Regressor When Given In-Context Examples | news.ycombinator.com | 2024-04-13If you're interested in exploring other metrics, the output of the models and code examples for how to read them are available at: https://github.com/robertvacareanu/llm4regression/tree/main/...
For example:
Python linear-regression related posts
Index
What are some of the best open-source linear-regression projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | llm4regression | 92 |
2 | Self_Taught_Machine_Learning | 24 |
3 | HDB_Resale_Prices | 21 |
4 | Rating-Correlations | 1 |
5 | Machine-Learning | 0 |
6 | ols_regression | 0 |
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