amirjahantab

amirjahantab

Gaussian_Distribution_Function

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

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.

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.

Backpropagation

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

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)

Regularization

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

8_puzzle_problem

Implemented the 8 puzzle problem using A* and IDS

Adaptive_Simpsons_Method

Dash_Data_Visualization

The CSV Data Visualization Tool is a web-based application built using Dash and Plotly.

data_cleaning_pandas-cricket_statistics-

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

deep-ml-solutions

ML Code Challenges

Descriptive_Statistics

Face_Recognition

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

Graph_Coloring

The provided code solves the Graph Coloring Problem, which is a way to assign colors to the vertices of a graph with c++

Inferential_Statistics

MasnaviLM

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.

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.

Newton_Raphson_method

an algorithm to find the root

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.

Numpy_Workshop

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

Object_Localization_and_Classification

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

Pandas_Note

preprocessing

Probability_Distribution_Python

common Probability Distributions

Python_String_CheatSheet

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

Random_Walk_Simulator

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

Web_Scraper