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l2-regularization

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Logistic Regression technique in machine learning both theory and code in Python. Includes topics from Assumptions, Multi Class Classifications, Regularization (l1 and l2), Weight of Evidence and Information Value

  • Updated Dec 22, 2021
  • Jupyter Notebook

Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.

  • Updated Aug 18, 2020
  • C++

The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.

  • Updated Aug 10, 2019
  • Jupyter Notebook

Curso Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. Segundo curso del programa especializado Deep Learning. Este repositorio contiene todos los ejercicios resueltos. https://www.coursera.org/learn/neural-networks-deep-learning

  • Updated Jan 11, 2019
  • Jupyter Notebook

Satellite imagery provides unique insights into various markets, including agriculture, defense and intelligence, energy, and finance. New commercial imagery providers, such as Planet, are using constellations of small satellites to capture images of the entire Earth every day. This flood of new imagery is outgrowing the ability for organization…

  • Updated Jan 16, 2020
  • Jupyter Notebook

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