ranaabdulrehman30 Goto Github PK
Name: Rana Abdul Rehman
Type: User
Bio: Bachelor in Artificial Intelligence | Machine Learning | Deep Learning | Artificial Intelligence | Data Scientist | Data Analyst | NLP | Cloud Computing
Name: Rana Abdul Rehman
Type: User
Bio: Bachelor in Artificial Intelligence | Machine Learning | Deep Learning | Artificial Intelligence | Data Scientist | Data Analyst | NLP | Cloud Computing
SMART ATTENDENCE RECORD SYSTEM Project
The Practical Data Science Specialization teaches you how to build and deploy machine learning projects using Amazon SageMaker. It's for developers, scientists, and analysts who already know Python and SQL and want to learn how to create scalable ML pipelines in the AWS cloud.
The following is the git repository for the Demo-Texract Project
In the second course of the Practical Data Science Specialization, I learned how to automate a natural language processing task by building an end-to-end machine learning pipeline using Hugging Face’s highly-optimized implementation of the state-of-the-art BERT algorithm with Amazon SageMaker Pipelines.
In our project what we propose to do is to train the gpt3 fined tuned model with the factual data according to the enrollment requirements so that the chat assistant can give more accurate and precise responses.
This repository contains all the codes I practiced for the understanding of computer vision.
This is repository of for hands-on on github Actions
This is the repository for Terraform hands-on
C++ based Spotify Project using Data Structures
this is a demo repository for github action
Lab tasks
This Repository contains all the codes related to Natural Language Processing
This repositry will contin the code done during the lectuers and class sessions at GIK Institute
Resources for OS course
Operation System end of the semester project repository.
@DeepLearning.AI Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It has helped me to develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker.
Movies are a popular means of entertainment all around the world. With a lot of streaming services and websites available and with more on the horizon, building a predictive model that automatically generates the genre of a movie based on the its plot summary is definitely beneficial as it may reduce the expense of manually tagging the movies.
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.