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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
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Find me here

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

M.Taghizadeh's Projects

mask-face-detection-py icon mask-face-detection-py

mask face detection built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams.

nlp-from-rnn-to-transformer icon nlp-from-rnn-to-transformer

In this repository, based on the latest NLP pappers, we researched on sequential data and time series and developed tasks in NLP such as stock price prediction, time series prediction, sentiment analysis from text and We developed the language model and so on. This research is based on recurrent neural networks, LSTM networks and the new Transformer architecture and attention mechanism.

pca icon pca

Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables (entities each of which takes on various numerical values) into a set of values of linearly uncorrelated variables called principal components. This transformation is defined in such a way that the first principal component has the largest possible variance (that is, accounts for as much of the variability in the data as possible), and each succeeding component in turn has the highest variance possible under the constraint that it is orthogonal to the preceding components. The resulting vectors (each being a linear combination of the variables and containing n observations) are an uncorrelated orthogonal basis set. PCA is sensitive to the relative scaling of the original variables.

programming-day-webinar icon programming-day-webinar

256 is a familiar number for programmers, and for this reason, the 256th day every year is called programmer's day. In this webinar, we celebrated together and learned some tips to improve our career path in programming.

py310 icon py310

In This repository explains the new features in Python 3.10

pychat icon pychat

PyChat is a massanger that implemented with python (socket programming)

pydes icon pydes

Implement the des algorithm with python

pydos icon pydos

Implemetation Denial of services attack with python (socket programming and threading)

pygram icon pygram

PyGram is a social network that developed with python.

pymongodb icon pymongodb

in this repo we learn about MongoDB and Python mongodb (PyMongoDB)

python-full-course icon python-full-course

Full Python Programming Tutorials with Focus on artificial intelligence and machine learning

python-webinar icon python-webinar

Our goal in this webinar is to provide a quick and practical training as your first step to becoming a professional Python programmer, so that after watching this training you will be able to gain a very good knowledge of programming with Python and using Python in artificial intelligence, machine learning, deep learning, data mining, and backend programming using Flask and Django

regression icon regression

In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome variable') and one or more independent variables (often called 'predictors', 'covariates', or 'features'). The most common form of regression analysis is linear regression, in which a researcher finds the line (or a more complex linear function) that most closely fits the data according to a specific mathematical criterion. For example, the method of ordinary least squares computes the unique line (or hyperplane) that minimizes the sum of squared distances between the true data and that line (or hyperplane).

sha1_algorithm icon sha1_algorithm

implementation of sha1 hash function algorithm with python pure

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