amirjahantab

Blog_Application_Flask

This is a simple web application for a blog. It allows users to register, login, create, update, and delete posts.

Cats_vs_Dogs_Classification

This project focuses on classifying images of cats and dogs using Convolutional Neural Networks (CNNs) with PyTorch. The dataset used for this project is from Kaggle's "Dogs vs Cats Redux" competition.

CIFAR-10

This project showcases the classification of the CIFAR-10 dataset using three different neural network architectures: a Linear Model, an Artificial Neural Network (ANN), and a Convolutional Neural Network (CNN)

Concurrency_In_Python

Concurrency is the ability of a program to handle multiple tasks simultaneously. In Python, there are two primary ways to achieve concurrency: multi-threading and multi-processing.

Create_RestFul_API

Effortlessly manage movie and TV show watchlists with this Django project, providing a RESTful API.

Ecommerce_Website_Django

وبسایت فروشگاهی با جنگو

estate_consultant_project

Real estate consultant project under the command line in Python

Regularization

An effective way to avoid (or at least to reduce) overfitt

Script-for-daily-calculation-exchang-rates

attractive script to get exchange rate

snake-game

This is a snake game written in Python using the turtle module.

amirjahantab/estate_consultant_project

Real estate consultant project under the command line in Python

amirjahantab/amirjahantab

amirjahantab/CV_Generator_Django

This is a Django web application that allows users to submit their details and generate a downloadable CV (resume) in PDF format.

amirjahantab/Gaussian_Distribution_Function

This Python script demonstrates the Gaussian distribution function, also known as the normal distribution.

amirjahantab/Iris_Classification

This project analyzes the famous Iris dataset using various machine learning techniques. The goal is to classify the iris flowers into three species: Setosa, Versicolor, and Virginica based on the features provided in the dataset.

amirjahantab/Percolation_Theory

The percolation problem is a classic problem in physics and mathematics that models the flow of fluids through porous materials. It is commonly used to study phenomena such as the flow of water through soil, the spread of contaminants in groundwater, and the conductivity of certain materials.

amirjahantab/Backpropagation

Backpropagation is the algorithm used to train the neural network by updating its weights and biases.

amirjahantab/Cats_vs_Dogs_Classification

This project focuses on classifying images of cats and dogs using Convolutional Neural Networks (CNNs) with PyTorch. The dataset used for this project is from Kaggle's "Dogs vs Cats Redux" competition.

amirjahantab/CIFAR-10

This project showcases the classification of the CIFAR-10 dataset using three different neural network architectures: a Linear Model, an Artificial Neural Network (ANN), and a Convolutional Neural Network (CNN)

amirjahantab/Create_RestFul_API

Effortlessly manage movie and TV show watchlists with this Django project, providing a RESTful API.

amirjahantab/Regularization

An effective way to avoid (or at least to reduce) overfitt

amirjahantab/8_puzzle_problem

Implemented the 8 puzzle problem using A* and IDS

amirjahantab/Adaptive_Simpsons_Method

amirjahantab/data_cleaning_pandas-cricket_statistics-

This project focuses on cleaning and preprocessing a dataset related to cricket statistics

amirjahantab/deep-ml-solutions

ML Code Challenges

amirjahantab/Ecommerce_Website_Django_v2

amirjahantab/Face_Recognition

This project focuses on the development and implementation of a face recognition system using deep learning techniques.

amirjahantab/Food_App

Django Project README This Django project is a simple web application for managing food items and user registration.

amirjahantab/MasnaviLM

amirjahantab/MNIST_Classifiers-PPRsigELU-

The CNN model is built using Keras and TensorFlow frameworks, and a custom activation function named Parametric Rectified Sigmoid Exponential Linear Unit (PPRsigELU) is introduced and used.

amirjahantab/Monte_Carlo_method

The Monte Carlo method is a statistical simulation technique used to approximate the probability of different outcomes by running multiple random trials.

amirjahantab/Newton_Raphson_method

an algorithm to find the root

amirjahantab/Normal_Distribution

This document provides a comprehensive guide to understanding the normal distribution, the standard normal distribution, and the standard normal table (Z-table). These concepts are fundamental in statistics and are widely used for various statistical analyses estimation.

amirjahantab/Numpy_Workshop

numpy workshop in the Faculty of Computer Mathematics, Department of Computer Science

amirjahantab/Object_Localization_and_Classification

implementation of an object localization and classification model, focusing on the task of identifying and locating objects within images.

amirjahantab/Pandas_Note

amirjahantab/Probability_Distribution_Python

common Probability Distributions

amirjahantab/Python_String_CheatSheet

This repository contains a Python notebook documenting various string methods. Each method is explained along with examples for better understanding.

amirjahantab/Random_Walk_Simulator

a random process that describes a path that consists of a succession of random steps on some mathematical space.

amirjahantab/Web_Scraper