Amirhossein-Mirzaei
I'm AmirHossein Mirzaei, as an aspiring AI expert and computer engineering professional, I have gained experience in Python programming and machine learning.
Amirhossein-Mirzaei's Stars
walkccc/CLRS
📚 Solutions to Introduction to Algorithms Third Edition
FarzadNekouee/WeatherProof_PetDetection_App
This project presents a weather-proof model for accurate detection of dogs and cats, streamlined for desktop application. Utilizing renowned models, transfer learning, data augmentation, and weather effects, we've achieved a robust solution ready for real-world deployment.
FarzadNekouee/Retail_Customer_Segmentation_Recommendation_System
Analyzing and transforming a UK-based retail dataset (2010-2011) into a customer-centric format for customer segmentation using K-means clustering. Implementing a personalized recommendation system to enhance marketing strategies and boost sales.
edris-mala/Medical-cost-personal
AshkanForootan/AF_BTC_getPrice_Teller
get BTC price via api and Tell it as a voice
FarzadNekouee/DCGAN-Photorealistic-Face-Generator
This project leverages DCGANs and the CelebA dataset to create photorealistic, synthetic human faces. The DCGAN model crafts new faces that, although similar to the celebrities in the training set, are completely fabricated. The goal is to produce lifelike 64x64 pixel faces.
FatemehHabibimoghaddam/Motion-Detection
FarzadNekouee/Hotel_Booking_Cancellation_Prediction
Predictive modeling of hotel booking cancellations. Handling complex data preprocessing, feature engineering, and noise. Evaluating models for high F1-score and analyzing key features for interpretability.
AshkanForootan/openweathermapAPI
An environmental analysis project comparing air pollution levels and factors influencing air quality across diverse global cities.
alifrmf/Concrete-Compressive-Strength-Prediction
Predicting the Concrete Compressive Strength Using ML Models
FarzadNekouee/XGBoost-CatBoost-Employee-Resignation
The project aims to predict employee resignations using XGBoost and CatBoost regressors. It involves extensive EDA, data preprocessing, model building, hyperparameter tuning, and model evaluation. The objective is to help organizations take proactive steps to retain valuable employees and maintain stability.
FarzadNekouee/Mobile_Price_Range_Classifier
Launching a mobile company to rival giants like Apple & Samsung, we leverage sales data to discern price ranges for mobiles based on features via ML models like SVM, DT, & RF. Not aiming for exact prices, but a strategic price bracket.
FarzadNekouee/Imbalanced_Bank_Loan_Modeling
Classification project to pinpoint potential loan customers from an imbalanced dataset. Emphasizes on penalized and tree-based algorithms, optimizing for both recall and precision to enhance campaign efficacy and conversion rates.
FarzadNekouee/Traffic-Violation-Detection
An urban traffic violation detection system using classical image processing techniques. Features include real-time traffic light recognition, adaptive night-time stop line detection, robust license plate extraction, PyTesseract OCR for text recognition, dynamic penalized plate display, and MySQL logging.
FarzadNekouee/Keras-CIFAR10-CNN-Model
An exploration of CIFAR-10 image classification using a CNN model built with Keras. This repository includes training, evaluation, and external image testing to understand model generalization.
FarzadNekouee/Regression-Assumptions-Regularization
Dive into polynomial regression and its assumptions in car price prediction. This repo explores Linear, Polynomial, Ridge, Lasso, and Elastic-Net models on the CarDekho dataset for accurate estimates. A deep dive into regression and regularization.
FarzadNekouee/Gold-Price-Prediction-LSTM
Harnessing LSTM for gold price prediction from 2013-2022. Trained on 9 years of data, the model predicts prices for 2022. The repo contains detailed explorations, visualizations, and insights, achieving high accuracy evaluated by RMSE.
KhashayarRahimi/Reinforcement-Learning-Algorithms-From-Scratch
Implementation of Reinforcement Learning Algorithms (From Reinforcement Learning An Introduction By Sutton & Barto)
FarzadNekouee/Heart_Disease_Prediction
In this repo, we analyze a dataset of heart patient metrics to build a model identifying heart disease risks. We prioritize high recall for comprehensive detection through EDA, preprocessing, and model building. Explore our approach and findings!
FarzadNekouee/Flight-EDA-to-Preprocessing
An extensive exploration and preprocessing of Flight data. The project encompasses detailed EDA (Univariate, Bivariate, and Multivariate analysis), along with comprehensive data preprocessing techniques - missing value treatment, outlier management, categorical encoding, feature scaling, and skewness transformation.
MManoochehry/Linear-Regression
This project uses Linear Regression for car price prediction, implementing advanced techniques such as K-Fold cross-validation, feature selection, and dot product operations. Through careful feature engineering and model evaluation, it delivers accurate selling price predictions for unseen car data.
MahdiNavaei/ARIMA-Model-for-EUR-JPY-Exchange-Rates
This repository contains a Python script that retrieves historical EUR/JPY exchange rates from the Twelve Data API and applies an ARIMA (Autoregressive Integrated Moving Average) model to predict future exchange rates.
a-lotfi/LSTM_Stock_Price_Prediction_Pytorch
In this repository by using Pytorch, I build, train and evaluate LSTM models for predicting Google stock prices
a-lotfi/LSTM_Stock_Price_Prediction_tf
In this repository by using tensorflow, I build, train and evaluate LSTM models for predicting Google stock prices
alifrmf/Surface-Defect-Detection
📈 Constantly summarizing open-source dataset and critical papers in the field of surface defect research which are of great importance.
alifrmf/Deep-Forest
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
alifrmf/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
alifrmf/Neural-Style-Transfer
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+
alifrmf/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
alifrmf/Time-Series-Transformers-Review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.