Mohammad (Mo) Hosseinzadeh's repositories
writing-neural-networks-with-pytorch
A demonstration of writing and implementing a biLSTM recurrent neural network with PyTorch
ab-test-project
WNW streaming A/B test project for my Applied Analytics subject at university
automobile-exploratory-analysis
This repository is for the Automobile dataset. The dataset is checked for potential issues/errors and the data is cleaned and prepared for analysis.
bayesian-inference-vinho-verde
This repositiry is for my university project for Bayesian Inference and Computation course. The task was to perform a logistic regression on a true dataset. This dataset is related to red variants of the Portuguese "Vinho Verde" wine. Link to project page: https://carimo198.github.io/bayesian-inference-vinho-verde/
data-wrangling-R
Demonstration of data wrangling with R. Common data cleaning and preprocessing tasks will be explored by locating open data from the web, import it into R, apply tidy data principles on the data and manipulate the data appropriately. The 'wh_staff_dataset.csv' contains the complete White House staff salary data from 1997-2020.
monte-carlo-algorithm-DNA-methylation
This is the repository for simulating values from a mixtures of beta distributions using accept/reject sampling and importance sampling. The project can be viewed via https://carimo198.github.io/monte-carlo-algorithm-DNA-methylation/
neural-network-japanese-character-recognition
This project consists of implementing various neural networks to recognise handwritten Hiragana symbols. The dataset used is Kuzushiji-MNIST (KMNIST), containing 10 Hiragana characters with 7000 samples per class.
neural-network-sentiment-analysis
This repository is for my uni project for Nueral Networks, Deep Learning course. For this project we were required to write a Pytorch program that learns to read business reviews in text format and predict a rating (positive or negative) associated with each review, as well as a business category (0=Restaurants, 1=Shopping, 2=Home Services, 3=Health & Medical, 4=Automotive).
neural-networks-twin-spirals
This is the repository for the neural networks I developed using PyTorch to train two models on the famous Two Spirals Problem (Lang & Witbrock 1988). The code from spiral_main.py loads the training data from spirals.csv, and applies the specified model and produces a graph of the resulting function, along with the data.