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https://github.com/kmohamedalie/supervised_machine_learning-regression

Regression Algorithms
https://github.com/kmohamedalie/supervised_machine_learning-regression

kaggle-dataset lasso-regression multiple-linear-regression polynomial-regression ridge-regression simple-linear-regression supervised-machine-learning uci-machine-learning

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Regression Algorithms

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README

        

# Supervised Machine Learning - Regression Algorithms
**Supervised learning:**is a type of machine learning in which machine learn
from known datasets (set of training examples), and then predict the output.
A supervised learning agent needs to find out the function that matches a given sample set.
Supervised learning further can be classified into two categories of algorithms:

1) **Regression :** When the outcome is pure numeric value.
eg : Home price prediction. You are trying to estimate value of price.

2) **Classification :** When the outcome is a category/class.
eg: Fraud detection. You are trying to identify Yes/No class



Note this is not an exhaustive list since most classification alogrithms now can also perform regression task example xgboostRegressor, RandomForestRegressor, also even though the name says Logistic regression it is a classification algorithm:





Algorithms
Notebooks
Datasets




Linear Regression
statsmodels sklearn
SaT and Gpa
Real estate price


Multiple Linear Regression
Statsmodels_SaT_Gpa_Mult


Statsmodels_Real Estate price
SaT and Gpa Mult

Real Estate price


Lasso and Ridge
Regularization
Hitters Baseball