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Implementations and statistical considerations about Regression Analysis models such as Simple and Multiple Linear Regression, and Logistic Regression.

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Regression Analysis

Regression Analysis (RA) is a powerful tool to modelling the relationship between two or more variable. Here you'll find a implementations of differents RA models such as Simple Linear Regression, Multiple Linear Regression and Logistic Regressions. Each one of these models has many properties and are applicable in a huge set of problems.

But we'll not stop on the implementation of the model. At each notebook, while implementing the model, we will try to answer:

1. How to quantify the performance of the regression?
2. What are the determinants of a good regression?
3. How many variables should I use in the model?
4. How powerful is the model?

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Implementations and statistical considerations about Regression Analysis models such as Simple and Multiple Linear Regression, and Logistic Regression.

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