An automatic machine learning based customer segmentation model with RFM analysis at ICTA conference 2024

Docs for Chalk AI

Data Transformation and Forecasting for Enhanced Logistics Efficiency in Delhivery

Exploratory Data Analysis on Ozone Air Quality data

@CWU-VKD-LAB Multiplatform interactive computational data analysis tool to build visual machine learning models from General Line Coordinate multidimensional lossless visualizations.

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

This repository includes EDA and model training for reimplementation of "Learning to Reweight Examples for Robust Deep Learning"

Pixeltable — AI Data infrastructure providing a declarative, incremental approach for multimodal workloads.

Extract formant features such as frequency, power, energy, and bandwidth of formants at syllable or word level from audio sources in a web browser using WebAudio API.

In this repo machine learning or their library code will return for data science using pytorch,tenserflow,scikit-learn especially to deep dive into ml

Mobile app for planning tasks for the day with multimodule architecture, MVI, Compose, Room, Voyager, AlarmManager, Notification, Charts

Python package implementing transformers for pre processing steps for machine learning.

This project predicts the demand for bike-sharing services in Seoul using machine learning algorithms. It utilizes historical data and environmental factors to provide accurate predictions that can aid in resource optimization and planning.

Automated Time Series Forecasting

Developed and Deployed NLP Models Achieving Up to 89.89% Accuracy in Detecting Duplicate Question pairs using Transformer https://huggingface.co/spaces/gyanbardhan123/Duplicate_Question_Detection https://drive.google.com/file/d/1MsBA45Hob56OWPuLVCgG3F3QdCZgBq9a/view?usp=sharing

Develop and evaluate machine learning models using techniques such as Decision Tree, SVM, K-Nearest Neighbors, and K-Means clustering

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.