Farhan Hai Khan's Projects
README and scripts for the Cityscapes Dataset
Coarse and fine grained classification of images
COCO Synth provides tools for creating synthetic COCO datasets.
Collection of useful notebooks and snippets
resume with Jekyll
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
A collection of common regular expressions bundled with an easy to use interface.
:mortar_board: Path to a free self-taught education in Computer Science!
2nd Assignment of Computer Vision by José Rosa and Ricardo Silva
My collection for some Computer Vision projects.
This is a project extending the solution to the kaggle-connectx problem statement. Here I have made the frontend UI for the same and added some new features.
It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset
A Python library for the ConvertAPI
Quiz & Assignment of Coursera
Here You can find All weeks Assignments of Coursera Course - Using Databases with Python
Part of Google IT Automation with Python Professional Certificate. Solutions of Practice Quiz and Module Graded Assessments
Introduction to Data Science IBM specialization
A detailed analysis and prediction of Loans given by banks based on coursera submissions for the course Machine Learning with Python.
Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-Ray Images
A team of researchers from Qatar University, Doha, Qatar and the University of Dhaka, Bangladesh along with their collaborators from Pakistan and Malaysia in collaboration with medical doctors have managed to classify COVID-19, Viral pneumonia and Normal Chest X-ray images with an accuracy of 98.3%. This scholarly work is submitted to Scientific Reports (Nature) and the manuscript is uploaded to the arvix server(https://arxiv.org/abs/2003.13145). Please make sure you give credit to us while using this repository(https://github.com/tawsifur/COVID-19-Chest-X-ray-Detection) and this database( https://www.kaggle.com/tawsifurrahman/covid19-radiography-database)
The main focus of this project is to visualize the spreading of the virus country-wise as well as globally, and to perform Linear regression, Support vector machine, Multilayer perceptron, Ensemble methods, etc., on the COVID-19 data to anticipate the future effects of the pandemic. Moreover, we are going to study the impact of some parameters such as geographic conditions, economic statistics, population statistics, life expectancy, etc., in prediction of COVID-19 spread.
Code Tutorial and Working Documentation for the proposed model COVIDDeepNet
Image Set for COVID Analysis
Script to check the available slots for Covid-19 Vaccination Centers from CoWIN API in India
Python Script to check available vaccinations
Customized Utility Functions for Smoother Software Development.