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Hi, this is Mohammad Taghizadeh :)

Professional programming experience with different programming languages ​​and of course I am very interested in Python (Since 2018), Backend development, Artificial intelligence, teaching programming to others and learning with training :)

My goal is to teach the best quality programming courses in Persian web, and for this purpose, I record programming contents on YouTube and publish programming training courses on Persian online education platforms.

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Some fields of study and activities

  • Python Programming
  • Python Backend Development: Django, Flask, Fast API
  • Artificial Intelligence, ML, Deep Learning
  • Natural Language Processing
  • Computational Linguistics
  • Computer Vision
  • Search Engine Development
  • Face Detection and Face Recognition
  • Web Scraping, and Web Crawling
  • Python Parallel and Concurrent Programming
  • Python Design Patterns, Software Architecture
  • Teaching programming and recording courses and programming contents on YouTube and Persian online education platforms
  • Java programming and desktop application development

My favorites activities

  • Code review of other developers, I can get into the minds of other programmers by looking at their code :)
  • My favorite sport is Football, MMA, Table tennis :)
  • Podcasts are an important part of my life
  • Philosophy
  • History of Iran and some other countries
M-Taghizadeh's github stats M-Taghizadeh GitHub Streak
Top Langs Github Stars

Find me here

Youtube Channel | Instagram | LinkedIn | Telegram | Telegram Channel | Telegram Group | Twitter | Personal website |

M.Taghizadeh's Projects

app_calculator icon app_calculator

Calculator Application with Java language (Android Application)

bayes_classifier icon bayes_classifier

In machine learning, naïve Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong (naïve) independence assumptions between the features. They are among the simplest Bayesian network models.

bigdata_projects icon bigdata_projects

Projects related to Big Data course will be implemented in this repository.

cloudsim-round-robin icon cloudsim-round-robin

CloudSim Example with Round Robin Data center broker & Round Robin Vm Allocation Policy with Circular Hosts List

corona-project icon corona-project

Site development provides the latest statistics on the coronavirus

deep-face-recognition icon deep-face-recognition

In this repository, we implement and review state of the art papers in the field of face recognition and face detection, and perform operations such as face verification and face identification with Deep models like Arcface, MTCNN, Facenet and so on.

dollar_rial_price_dataset icon dollar_rial_price_dataset

In this dataset, the price of the dollar to the Iranian rial in the years 2011 to 2023 has been collected by our crawler.

flan-t5-base-imdb-text-classification icon flan-t5-base-imdb-text-classification

In this implementation, using the Flan T5 large language model, we performed the Text Classification task on the IMDB dataset and obtained a very good accuracy of 93%.

image-processing-python icon image-processing-python

In this repository, we implement common image processing techniques in Python and fully describe their algorithms.

instapy icon instapy

A powerful tool for extracting all useful information from Instagram pages

ltclnc-algorithm icon ltclnc-algorithm

Implementation Search Engine with LTC-LNC algorithm developed with Python and Flask framework

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