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GitHub / isadays / Supervised-ML

OLS. R and Python. In this project, we study fundamental concepts of Supervised ML models, such as Regression Analysis: Coefficient of Model Adjustment (R²), Parameters Estimation ,Statistical Significance of the Model (F test, T test) ,Multiple Regression , Qualitative Explanatory Variables (X) , heteroscedasticity and etc.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/isadays%2FSupervised-ML

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 2.63 MB
Dependencies: 0

Created: 6 months ago
Updated: 6 months ago
Last pushed: 6 months ago
Last synced: 6 months ago

Topics: dummy-variable, f-test, general-linear-models, non-linear-model, non-linear-regression, parameter-estimation, regression-analysis, statistical-analysis, supervised-machine-learning, t-test

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