ali-arjomandi-nezhad Goto Github PK

ali-arjomandi-nezhad.github.io

My github blog

appliedml_python_coursera

Material and note of the course of Applied ML in Python

bayesian-optimization-for-hyperparameter-tuning

In order to improve the performance of a machine learning model, it is of high importance to optimize the hyperparameters. These hyperparameters which are not determined by the learning algorithm itself may be the regularization factor for linear models or learning rate for gradient descend-based learning algorithms. Bayesian Optimization (BO) is a highly regarded approach for optimizing hyperparameters. In this repository, we use some examples to clarify how this method can be effective for hyperparameters tuning.

covid-19-time-series-clustering

decenergym

An Open-Source Ethereum Smart Contract for Peer-to-Peer Decentralized Local Energy Market Transactions

reinforcement-learning

In this repository, some example of reinforcement learning are prepared.

stacked-monte-carlo-method

In this repository, an example of stacked Monte Carlo is presented. The method and example are base on reference: BrendanTracey, David Wolpert, and Juan J. Alonso. "Using supervised learning to improve Monte Carl

statistics

supervised_learning