This repository is for fall 2020 computational intelligence course where i put my assignments assigned throughout the semester. These assignments are a good practice for acquiring basic knowledge regarding Machine/Deep learning.
The first part of hw1 required us to implement a Gradient Descent algorithm for COVID-19 Prediction in Iran Based on datas provided by who. The second part required us to implement polynomial regression for asnwering previous issue.
This assignment required us to preprocess the given dataset and then implement SVM(using sklearn) and KNN(from scratch).
This assignment required us to propose a model for dog breed classification using stanford dogs dataset.
Two models are implemented for breed classification. First one is AlexNet that is trained and implemented from scratch, and second one is Xception that is implemented and trained using pre_trained weights. Therefore accuracy of Xception is more than AlexNet by a large margin.
This assignment required us to propose a model for Persian News Categories classification using NLP techniques and the this dataset.