Ash's Projects
Implementation of the paper Adversarial Learning for Zero-Shot Stance Detection on Social Media
Everything about LLMs in production.
This repository contains machine learning projects using the following algorithms implemented in Python - Decision Tree, Genetic algorithm, Linear Regression, Neural Network and Polynomial Fitting
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
This repository contains scripts and notebooks for performing cohort analysis on customer transaction data.
An optimization project on optimal distribution of COVID vaccines as per dataset extracted from Kaggle
dbt Version Control Repository: Managing scalable data transformations with versioned dbt models, structured testing, and collaborative Git workflows.
Biosignal Processing in Python
Python Heart Rate Analysis Package, for both PPG and ECG signals
Python toolbox for Heart Rate Variability
A python package for interaction with time series data.
FLIRT is a python package that processes wearable sensor data to obtain features
NeuroKit2 is a python toolbox that aids in neurophysiological signal processing
Analyzing clothing retailer reviews to understand what customers like and dislike, aiming to improve their shopping experience.
This repository contains the code and files for the project ion Fake News Detection using NLTK.
This repository contains the code for the project on detecting misinformation in scientific reporting.
This repository comprises the project code and related files exploring the sentiment of social media activity of certain companies.
This is a repository for EDA on Fitbit usersβ fitness dataset to gain insights into the users activity and overall health. Dataset is extracted from Kaggle.
Grokking Deep Learning
This repository contains the project done on Machine Reading Comprehension, using the Squad2 dataset, which is a benchmark data for question-answering.
This repository consists of the files related to the Machine Translation project using Flores200 dataset to implement machine translation between two languages. The implemented models include seq2seq models like OPUS-MT, M2M-100 and MBART-50.
This repository contains the implementations of basic machine learning algorithms using datasets from Kaggle and UCI Machine Learning Repository
This repository contains the exercises used in the Python course
RFM analysis categorizes customers based on their transactional behavior: Recency (how recently they made a purchase), Frequency (how often they make purchases), and Monetary Value (how much they spend).
Code for the paper "Modeling Information Change in Science Communication with Semantically Matched Paraphrases" from EMNLP 2022
Stanford SQL Certification
This repository contains the files of the project on Symptom Extraction and Linking from Vaccine Adverse Event Reports. The data is extracted from the VAERS data source here: https://vaers.hhs.gov/data/datasets.html.