Skip to content
This repository has been archived by the owner on Jun 6, 2022. It is now read-only.
/ Tensorflow-ML Public archive

Different machine learning algorithms implementation in Tensorflow

License

Notifications You must be signed in to change notification settings

aqibsaeed/Tensorflow-ML

Repository files navigation

Machine Learning using Tensorflow

Tensorflow is an open source machine learning (ML) library from Google. It has particularly became popular because of the support for Deep Learning. Apart from that it's highly scalable and can run locally on Android. The documentation is well maintained and several tutorials available for different expertise levels. To learn more about downloading and installing Tesnorflow, visit official website (www.tensorflow.org).

Below mentioned algorithms (available as IPython notebooks).

  • Linear regression for housing price prediction (Boston dataset )
  • Logistic regression for multi-class classification (Iris dataset)
  • K Nearest Neighbours for letter recognition (Letter Recognition dataset)
  • Logistic regression with SMOTE for anomaly detection
  • Convolution Neural Network for custom image dataset
  • Neural Network for Multilabel Classification (Yeast dataset)

About

Different machine learning algorithms implementation in Tensorflow

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published