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Hi šŸ‘‹, My name is Mohammad

Let's have some fun together.

Coding

  • šŸ”­ Iā€™m currently working on Computer vision concepts

  • šŸ“« How to reach me [email protected]

Connect with me:

mohammad-amirifard

Languages and Tools:

git linux pandas python scikit_learn seaborn tensorflow

mohammad-amirifard

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Mohammad Amirifard's Projects

c1-dogs-vs-cats icon c1-dogs-vs-cats

This repository helps you find contents related to CNN architecture.

callbacks icon callbacks

This repository helps you find some contents related to tf.keras.callbacks.Callback

data-science icon data-science

šŸš€ This repository have an Data Science docs in JupyterNote. Using python-3 while learning about material DS.

dicom-to-png icon dicom-to-png

This repository has been made to turn dicom images of RSNA Screening Mammography Breast Cancer Detection competition on kaggle to png images

eda icon eda

This repository (Exploratory Data Analysis ) helps you find common tasks and codes needed to analyze a dataset

hangman icon hangman

This repository gives you a good code to make your hangman game

lfqa icon lfqa

Long-Form Question Answering Model for NLP Course @Polimi

linear-regression icon linear-regression

This repository helps you find some contents related to the linear regression with one or multiple variables

mac_derandomization icon mac_derandomization

This repo tries to use machine learning algorithms, particularly, clustering to recognize randomized Mac produced by wireless devices.

machine-learning icon machine-learning

This repository helps you find tutorial contents on machine learning algorithms

pycaret icon pycaret

Using several algorithms with a simplest way called paycaret

qot icon qot

Quality of Transmission (QoT) estimation in optical networks

recommender-systems icon recommender-systems

This repository has been made for recommend er system project at Politecnico di Milano

six-algorithms-in-ml icon six-algorithms-in-ml

This repository helps you to solve a real example with six different algorithms, including Linear regression, multiple linear regression, Knn, decision tree, random forest and neural network

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