My virtual notes
By Maria Paula Guillaumet
After accumulating notebooks with my notes for years, I decided to make a virtual repository with my topics of interest. Here you can find a little of this and that.
Después de acumular por años cuadernos con mis notas, decidí hacer un repositorio virtual con mis temas de interés. Aquí podrán encontrar un poco de esto y aquello.
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Library: SciKit-Learn (Machine learning)
Information
- Scikit-learn provides dozens of built-in machine learning algorithms and models.
- Simple and efficient tools for predictive data analysis.
- Built on NumPy, SciPy, and matplotlib.
Supervised learning
Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs. It infers a function from labeled training data consisting of a set of training examples.
Lineal Regression
Linear regression is a linear approach to modeling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables).
In linear regression, the relationships are modeled using linear predictor functions whose unknown model parameters are estimated from the data. Such models are called linear models.
Basic model of lineal regression
- Jupyter visualization (Version 27.05.20)
- Download Jupyter notebook (Version 27.05.20)
- Download database. Diabetes (CSV) (Version 27.05.20)
Lineal regression model applied to gas consumption
- Jupyter visualization (Version 13.07.20)
- Download Jupyter notebook (Version 13.07.20)
- Download database. Climate of Buenos Aires (CSV) (Version 13.07.20)
Source: NASA (POWER Data Access Viewer) - Download database. Gas consumption (Excel) (Version 13.07.20)
- Download database. Number of users (Excel) (Version 13.07.20)
Source: ENARGAS