Pinned Repositories
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
Cancer-Patients-Survival-Analysis
Survival Analysis of Lung Cancer Patients
Customer-Churn-Prediction-and-Analysis
Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
Customer-Segmentation
Customer Personality Analysis Using Clustering
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)
Pneumonia-Diagnosis-in-Chest-X-ray-Images
Detect Pneumonia Using Deep Learning Models (CNN and InceptionV3)
Reinforcement-Learning-Algorithms-from-Scratch
Explore key RL algorithms with detailed explanations and fully commented Python code implementations
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.
Statistics-and-Probability-in-Python
A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
ActTensor
ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
Pegah-Ardehkhani's Repositories
Pegah-Ardehkhani/Statistics-and-Probability-in-Python
A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
Pegah-Ardehkhani/Customer-Segmentation
Customer Personality Analysis Using Clustering
Pegah-Ardehkhani/Customer-Churn-Prediction-and-Analysis
Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
Pegah-Ardehkhani/Cancer-Patients-Survival-Analysis
Survival Analysis of Lung Cancer Patients
Pegah-Ardehkhani/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)
Pegah-Ardehkhani/Pneumonia-Diagnosis-in-Chest-X-ray-Images
Detect Pneumonia Using Deep Learning Models (CNN and InceptionV3)
Pegah-Ardehkhani/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.
Pegah-Ardehkhani/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
Pegah-Ardehkhani/Flight-Price-EDA-and-Prediction
Analyze and Predict the Flight Price Using Machine Learning Models and Plotly Library
Pegah-Ardehkhani/Neural-Style-Transfer
Generate an Image with the Same "Content" As a Base Image, But with the "Style" of a Different Picture
Pegah-Ardehkhani/One-Hidden-Layer-Neural-Network-From-Scratch
"One Hidden Layer Neural Network" from Scratch
Pegah-Ardehkhani/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
Pegah-Ardehkhani/Reinforcement-Learning-Algorithms-from-Scratch
Explore key RL algorithms with detailed explanations and fully commented Python code implementations
Pegah-Ardehkhani/ActTensor
ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pegah Ardehkhani, Pouya Ardehkhani
Pegah-Ardehkhani/Brain-MRI-Segmentation
U-Net from Scratch for Brain Tumor Segmentation
Pegah-Ardehkhani/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
Pegah-Ardehkhani/CNN-From-Scratch
"CNN" from Scratch
Pegah-Ardehkhani/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
Pegah-Ardehkhani/Corona-Virus-Forecasting-and-Analysis
Analysis and Forecasting of the Corona Virus Observed, Recovered and Death Cases Using Machine Learning Models and Plotly Library
Pegah-Ardehkhani/Corona-Virus-Tweets-Sentiment-Analysis-and-Prediction
Analysis and Prediction of the Corona Virus tweets Sentiment Using Deep Learning Models and Plotly Library
Pegah-Ardehkhani/Deep-Neural-Network-From-Scratch
"Deep Neural Network" from Scratch
Pegah-Ardehkhani/Emojify-Texts
Choose the Most Appropriate Emoji for a Text Using NLP Models
Pegah-Ardehkhani/LogisticRegression-From-Scratch
"Logistic Regression" from Scratch
Pegah-Ardehkhani/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.
Pegah-Ardehkhani/Python-Tutorial-Plus-Questions
A comprehensive Python tutorial repository that covers key programming concepts along with practical questions and examples
Pegah-Ardehkhani/R-Tutorial
A comprehensive R tutorial repository covering essential programming concepts and practical examples to help you master R programming
Pegah-Ardehkhani/Simplex-from-Scratch
A Python implementation of the Simplex algorithm for solving linear programming problems from scratch
Pegah-Ardehkhani/Speech-Emotion-Recognition
Emotion Recognition Using Audio Speech Files
Pegah-Ardehkhani/WeatherApp
A GUI Weather Application Using Tkinter Library
Pegah-Ardehkhani/Pegah-Ardehkhani