tahsinac Goto Github PK
Name: Tahsin Ashraf
Type: User
Bio: yes
Location: Toronto, ON
Blog: www.tahsinac.net
Name: Tahsin Ashraf
Type: User
Bio: yes
Location: Toronto, ON
Blog: www.tahsinac.net
The Chinook database contains information about the artists, songs, and albums from the music shop, as well as information on the shop's employees, customers, and the customers purchases. This database is used in this project to determine profitable purchases, analyze employee sales performances and analyze sales by country using SQL.
AZ-900 Microsoft exam training
Uses Streamlit, Langchain, and the Llama 2 7B Chat ggml model to create a simple app that can generate blog posts on any topic, of any length, for journalists, researchers, comedians, politicians, or a general audience.
Using Plotly To Visualize Carbon Dioxide Emissions From The Power Sector
Trained machine learning algorithms on 31,000 tweets obtained using the Twitter API discussing content from outlets that are reliable sources of medical information and those which have been proven to spread misinformation. The text content and the tweet metadata of the tweets were explored and then transformed using pipelines.
An app powered by LLM agents that take in a link to a job post and the users' resume as pdf and provide thorough analysis of the resume inlcuding a score for match, probability of passing ATS systems and advice on how to improve resume to tailor it for the provided job description.
Using a multiclass image classification problem to explore transfer learning, automated machine learning (AutoML) & Grad-CAM analysis.
Course material for ENEL 645 - Data Mining & Machine Learning
Use data collected from the 1994 U.S. Census to construct a model that accurately predict whether an individual is going to donate to a charity. This sort of task can arise in a non-profit setting, where organizations survive on donations. Understanding an individual's income can help a non-profit better understand how large of a donation to request, or whether or not they should reach out to begin with.
Apply unsupervised learning techniques to identify segments of the population that form the core customer base for a mail-order sales company in Germany. These segments can then be used to direct marketing campaigns towards audiences that will have the highest expected rate of returns. The data used was provided by Bertelsmann Arvato Analytics, and represents a real-life data science task.
Develop an AI application using a deep learning model that correctly differentiates between different species of flowers. This could be used in a phone app that can tell the name of the flower the camera is being pointed at.
:ramen: Minimalist Jekyll Template, dark and light themes
A twitter bot that tweets lyrics to songs using Spotify, Genius & Twitter APIs.
Some mini projects for practicing data cleaning and visualizations.
An LLM powered chat bot for making literature reviews easier. User can upload multiple research articles as pdfs and ask questions about the articles.
A web application for scheduling lying positions for bed-ridden patients in order to prevent pressure ulcers.
Used 2018 stackoverflow survey data to help aspiring developers make career decisions. Also a predictive models was built that can predict the salary of an individual breaking into the industry based on their age, formal education and coding experience.
Using data from the Starbucks rewards app to predict the best offers for a user based on demographic data.
NLP ML pipeline includes data processing, model training, and evaluation for text summarization with HuggingFace Transformers. Deploy predictions via FastAPI and implement a strong CI/CD workflow using GitHub Actions. This involves containerization, image pushing to Amazon ECR, and continuous deployment on EC2 for API serving.
A web application for the school of Veterinary Medicine at the University of Calgary to help manage animals profiles, treatment & prescriptions, animal status availability for instruction purposes and process requests for treatment and instructions. This project involved designing and implementing the database, designing REST APIs and designing and implementing the front-end. This project was delivered using Agile methodologies in a team of 3 developers.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.