Shahiryar Saleem's Projects
A blood donor management app with react native and firebase
Bash scripts combine terminal commands and logic into programs that can execute or automate tasks, and much more. In a 220-lesson course from freecodecamp, I have learnt terminal commands and how to use them within Bash scripts by creating five small programs. This repo contains those five scripts.
This project is part of in-course assignment for Blockchain development at Asia Pacific University. The supervisor for this assignment is Prof. Lee Kim Keong.
App that connects blood donors with recipients
A database of celestial bodies using PostgreSQL.This is one of the required projects to earn certification from freecodecamp.
Playing around with chem-informatics
Fine-tuning a T5 model to adjust to the use case of summarising a chat between human actors.
The objective of this project is to develop a predictive model to determine the likelihood of conflicts or civil unrest in a specific region or country.
This is a demo repo, used for learning purposes.
Code for final year project BSC computer science. So far..login front end..signup front end..facebook login api implementation..firebase auth implementation of plugin...To be done. data verification..data validation checks..backend for login and sign up
This app uses yelp api to get some businesses and lets the users search for a business using a keyword then shows some related pictures and map for the location
Model that predicts gender from a given first name
A model that Shows underlying correlation patterns between various research keywords in the form a graph networks. The projects deal with multi lingual data including English and Japanese. It was built on top of pretrained BERT model from HuggingFace and Facebook’s FIASS indexing.
This repo contains the code for web application created to visualize data as a three cosmos
LightRecSys: A lightweight Python library for quick and efficient recommendation system development. Offers preprocessing tools, model training functions, and supports various recommendation algorithms. Ideal for beginners and experienced data scientists.
Notebook, Implements Gradient decent to model using linear regression. Good for starting out to understand how Linear Regression and Gradient Descent works under the hood.
Code for logistic regression classification from scratch. This project helps one understand the inner workings of this classification algorithm.
This is a repository for exploring Reinforcement Learning algorithms and applications. Currently, the repository includes a Jupyter Notebook that demonstrates the Multi-armed Bandit problem, a classic Reinforcement Learning problem that involves balancing exploration and exploitation.
Naive Bayes Classification Algorithm from scratch, without using sklearn
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