Nischay Thapa's Projects
This repository analyzes trends of people who were found drinking and driving in Iowa, USA.
Are you looking for jobs in your fields? This scraper is a simple version that helps you automate the job application process.
:sunglasses: A curated list of awesome MLOps tools
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Example of using AWS SageMaker XGBoost and PredictHQ Events to forecast real demand
Can we understand customers based on their experience through our call centres?
Simple LAN Chat Application
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
Detection of Colon Cancer Cell and its types using a semi-supervised approach with deep learning
The athena adapter plugin for dbt (https://getdbt.com)
This project demonstrates how you can build downstream data pipeline using dbt in athena
Linux is an open sources distribution. Here, we explore the contributions made to different distribution of Linux over time.
Since launch of bitcoin in 2008, numerous blockchain technologies have emerged. But are they worth taking risk?
Technologies in mobile apps are advancing everyday .These are the most convenient software tools primarily used today by billions of people. If you are an App developer or from a business enterprise. Here's what you need to know about the market!
Imagine working in a digital marketing agency for a online retailer of furniture. Generating list of words can help to find best keywords clients input to find our products.
A prototype of application that provides machine-learning backed information and interactive simulation to support the United States public health officials in developing an effective and well-informed vaccine deployment strategy
This repository contains match analysis of Indian Premier League from the year 2008 to 2017
What crimes are commited in King County? Can we reduce them?
Scraper engine for medium archived articles using tags
This repository is about identifying human actions and action class from Standard40 dataset. The solution as a multi-task learning using different CNN mdoels like VGG-16, InceptionV2 and NasNetMobile
Can we predict what a person is doing based on their movements?
Commercial banks and credit card companies have tons of applications with pending approvals. It's way more efficient if we can predict the approvals with the given information.
Can we predict how long a patient will be in a hospital with a fair comparison on gender, race and health service areas?
Are there any patterns of traffic fatalities among states? Can we group common states and derive a policy plan?