- LINR1 - Linear regression with direct resolution
Low-level implementation, using numpy, of a direct resolution for a linear regression - GRAD1 - Linear regression with gradient descent
Low level implementation of a solution by gradient descent. Basic and stochastic approach. - POLR1 - Complexity Syndrome
Illustration of the problem of complexity with the polynomial regression - LOGR1 - Logistic regression
Simple example of logistic regression with a sklearn solution
- PER57 - Perceptron Model 1957
Example of use of a Perceptron, with sklearn and IRIS dataset of 1936 !
- BHPD1 - Regression with a Dense Network (DNN)
Simple example of a regression with the dataset Boston Housing Prices Dataset (BHPD) - BHPD2 - Regression with a Dense Network (DNN) - Advanced code
A more advanced implementation of the precedent example
- MNIST1 - Simple classification with DNN
An example of classification using a dense neural network for the famous MNIST dataset
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[Fr] Attribution - Pas d’Utilisation Commerciale - Partage dans les Mêmes Conditions 4.0 International
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