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Seshu Kumar Damarla


University of Alberta

Last seen: 5 mesi fa Attivo dal 2021

I am a postdoctoral fellow in Chemical and Materials Engineering at University of Alberta. I work with machine learning and statistical learning algorithms to address problems such as soft sensor and valve stiction in process systems engineering.

Programming Languages:
MATLAB, Fortran
Spoken Languages:
English, Telugu
Professional Interests:
Modeling and Prediction, Machine Learning and Deep Learning, Detect and Predict Faults, Oil, Gas & Petrochemical

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  • GitHub Submissions Level 3
  • Personal Best Downloads Level 2
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Linear_Discriminant_Analysis_Classifier
Linear Discriminant Analysis for Multi-class Classificaiton

7 mesi fa | 1 download |

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Naive-Bayes-classification
Gaussian Naive Bayes for multi-class classification

7 mesi fa | 3 download |

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Gradient Descent with Momentum algorithm for Neural Networks
Training Algorithm for Neural Networks. Please note that the code is written in Python. It cannot run on Matlab.

8 mesi fa | 3 download |

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Adam Optimization Algorithm for Machine and Deep Learning
Adam is an optimization algorithm that can be used instead of the classical stochastic gradient descent procedure to update netw...

8 mesi fa | 13 download |

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Multilayer Perceptron Neural Network
MLP is trained with gradient descent algorithm.

8 mesi fa | 5 download |

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k-nearest neighbors algorithm for classification
KNN for classification

8 mesi fa | 4 download |

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General Regression Neural Network
General Regression Neural Network is a variant of radial basis function neural network and used for nonlinear function approxima...

8 mesi fa | 4 download |

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Wavelet Neural Network
This neural network can be used to build classification and regression models

oltre un anno fa | 9 download |

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Radial Basis Function Neural Network
Regression model, Soft Sensor

oltre un anno fa | 6 download |

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Extreme Learning Machine
This code is useful to develop regression models.

oltre un anno fa | 9 download |

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