Grid Search is a model hyperparameter tuning technique in machine learning. It is used to find the best set of hyperparameters for a given model to optimize its performance on a specific task. In Grid Search, a range of values for each hyperparameter is specified and the model is trained…

Hill Climbing is an optimization technique used in Artificial Intelligence and other fields to find a solution to a problem by incrementally improving the solution. It is a greedy algorithm that starts from an initial solution and iteratively makes changes to it, only accepting changes that result in an improvement…

Many developers and researchers use resource management for their calculation tasks. One of the well-known resource management is SLURM, which through that multiple job steps can be simultaneously submitted and queued. SLURM has different pre-installed modules by the admin, such as miniconda, pip, and python with different versions, etc. But…

In this article, I collected all of the conda’s commands from basic to advance; Basic commands conda create - Create a new conda environment conda activate - Activate a specific conda environment conda deactivate - Deactivate the current conda environment conda list - List all packages in the current conda environment conda…

Introduction PyTorch has received too many interests in recent years because of its flexibility to build large-scale deep-learning frameworks. As in the computer science area, we move forward, we categorize the fields of artificial intelligence into two groups, machine learning, and deep learning. There are different libraries for building deep models…

Create an account on PyPI Build a repository on Github (example) Create a setup.py Create the __init__.py in the package inside the repository Clone your repository into the local Install setuptools pip install setuptools Open os terminal and go to the root of the repository Build the dist python setup.py sdist bdist_wheel Upload the dist on PyPI twine upload dist/* Read more

Imagine you trained separate machine learning models or one model over different datasets and have independent outputs for various datasets. Now, you need to have a final or intermediate report from the files before going to the next steps. Therefore, you have to analyze all the results. Is it possible…

In this review, I talk about the useful tips to use the *.pyx Cython files in the python package. You can find the related links to install and compile the Cython as well. Cython is just like Python, with the main difference being that it refers to C references. The…

Jupyter MarkDown cheatsheet by Seyedsaman_Emami In this tutorial, I will talk about how to write efficiently in the Jupyter Notebook. The Jupyter Notebook has two different cells, one for code and the other is for the MarkDown. In recent years by introducing online and free platforms for the data scientist…