Pegah-Ardehkhani's repositories
Statistics-and-Probability-in-Python
A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
Customer-Segmentation
Customer Personality Analysis Using Clustering
Customer-Churn-Prediction-and-Analysis
Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
Optimization-Problems-and-Solutions
A repository dedicated to the mathematical modeling and solution of optimization problems, featuring practical examples in Stochastic Programming, Linear Programming (LP), and Mixed-Integer Linear Programming (MILP)
Cancer-Patients-Survival-Analysis
Survival Analysis of Lung Cancer Patients
Multi-Criteria-Decision-Making
This repository contains Python implementations of various Multi-Criteria Decision Making (MCDM) methods. These techniques help in evaluating and ranking alternatives based on multiple criteria, often used in decision analysis and optimization problems.
Shortest-Path-using-Reinforcement-Learning
Solve the shortest path problem using Reinforcement Learning. This project applies RL techniques, such as Q-learning and SARSA(λ), to find optimal routes in a weighted graph, where the algorithm learns to navigate by receiving rewards based on edge distances.
Air-Passenger-Demand-Forecasting
Forecast airline passenger demand using time series models like AR, ARMA, and LSTM to improve operations, optimize scheduling, enhance resource allocation, and streamline supply chain management through accurate demand predictions
Flight-Price-EDA-and-Prediction
Analyze and Predict the Flight Price Using Machine Learning Models and Plotly Library
Multi-Objective-Energy-Aware-Job-Shop-Scheduling-with-NSGA-II
Multi-objective job shop scheduling system using NSGA-II algorithm to optimize makespan, energy costs, and tardiness simultaneously. Features energy-aware scheduling with time-of-use tariffs and Pareto front visualization
Neural-Style-Transfer
Generate an Image with the Same "Content" As a Base Image, But with the "Style" of a Different Picture
One-Hidden-Layer-Neural-Network-From-Scratch
"One Hidden Layer Neural Network" from Scratch
Predictive-Maintenance-Using-ML
A machine learning project for predictive maintenance, designed to forecast equipment failures and optimize maintenance schedules to reduce downtime and operational costs
Python-Tutorial-Plus-Questions
A comprehensive Python tutorial repository that covers key programming concepts along with practical questions and examples
Reinforcement-Learning-Algorithms-from-Scratch
Explore key RL algorithms with detailed explanations and fully commented Python code implementations
Brain-MRI-Segmentation
U-Net from Scratch for Brain Tumor Segmentation
Bullwhip-Simulation-in-a-Multi-Tier-Supply-Chain
A Python simulation model demonstrating the bullwhip effect in a multi-tier supply chain, where fluctuations in customer demand amplify up the chain, impacting costs and inventory levels
CNN-From-Scratch
"CNN" from Scratch
Combinatorial-Optimization
A collection of algorithms and methods for solving combinatorial optimization problems, including techniques for TSP, Knapsack, and other NP-hard problems using heuristics, metaheuristics, and exact methods
Corona-Virus-Forecasting-and-Analysis
Analysis and Forecasting of the Corona Virus Observed, Recovered and Death Cases Using Machine Learning Models and Plotly Library
Credit-Card-Fraud-Detection
This project develops and evaluates machine learning models, including Random Forest, SVM, ANN, and Transformer models, for robust credit card fraud detection.
Deep-Neural-Network-From-Scratch
"Deep Neural Network" from Scratch
Emojify-Texts
Choose the Most Appropriate Emoji for a Text Using NLP Models
R-Tutorial
A comprehensive R tutorial repository covering essential programming concepts and practical examples to help you master R programming
Simplex-from-Scratch
A Python implementation of the Simplex algorithm for solving linear programming problems from scratch
Speech-Emotion-Recognition
Emotion Recognition Using Audio Speech Files
WeatherApp
A GUI Weather Application Using Tkinter Library
Energy-Optimization-OR-and-ML
An energy optimization linear problem using a combination of Operations Research (OR) and Machine Learning (ML) including sensitivity and parametric analysis and ML-assisted optimization