PORTFOLIO

Python, Machine Learning & AI Projects

A collection of hands-on projects covering supervised and unsupervised learning, deep learning, computer vision, audio processing, and regression.

PROJECT

Customer Segmentation

Clustering customers using K-Means and PCA to identify meaningful customer groups.

Machine Learning • Unsupervised Learning • Scikit-learn

PROJECT

Handwritten Persian digit classification using a Fully Connected Neural Network (FCNN).

Deep Learning • TensorFlow • Computer Vision

PROJECT

Image classification using a Convolutional Neural Network (CNN) with TensorFlow.

Deep Learning • CNN • Computer Vision

PROJECT

Recognizing emotional patterns from speech signals using machine learning and deep learning techniques.

Deep Learning • Audio Processing • Supervised Learning

PROJECT

Image classification with CNN and data augmentation techniques on the CIFAR-100 dataset.

Deep Learning • CNN • Data Augmentation

PROJECT

Regression analysis using four different machine learning models to predict fuel consumption.

Machine Learning • Regression • Supervised Learning