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This is a review about gradients decents and some loss functions with an application on non lineal regression.

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MachineLearning_Basics

This is a collection of some machine learning techniques.

It includes:

  • Some gradients decents and some loss functions with an application on non lineal regression. The essay was over a seno function with some noise.
  • A classification analysis over one of the most common dataset - Iris dataset. This analysis uses logitics regression to classify iris dataset. Additionally, it includes a softmax algorithm to get a classifier for 3 o more classes.
  • Clustering using MeanShift algorithm for tumor brain images.
  • Clustering using KMean algorithm for tumor brain images.
  • Using of Support Vector Machine to predict emotion.

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This is a review about gradients decents and some loss functions with an application on non lineal regression.

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