View Code? Open in Web Editor NEW

This project forked from sktime/sktime

A unified framework for machine learning with time series

License: BSD 3-Clause "New" or "Revised" License

Shell 0.02% Python 99.63% Makefile 0.04% Jupyter Notebook 0.28% Dockerfile 0.02%

sktime's Introduction

🚀 About Me

💡 Hello everyone,I'm engineering student. and also a Data science enthusiast.Love to code.
🚀 GSSOC'24 | GSSOC'23 Contributor
🌱 I'm currently working on improving my coding skills by building small projects.
✍️ Apart from technical interests, I like watching movies.
📫 How to reach me: Through Linkedin!!

🔗 Connect with me here

Projects

Project Name	Description
Sports-Popularity-Forecast	The sports popularity forecast is designed to predict future trends and shifts in the popularity of various sports globally using time series and also data is extracted from google data
Imagify	Imagify is a deep learning project that leverages the PyTorch framework to build an image classifier. The classifier is designed to recognize and categorize images into predefined classes with high accuracy.
Bodhibot	BodhiBot is an advanced AI-driven chatbot designed to provide comprehensive knowledge and insights into Buddhism. Leveraging the power of Llama2 and Chainlit, BodhiBot offers an interactive platform for exploring Buddhist teachings, history, and cultural aspects.
Airport Analysis	This project is a comprehensive Power BI dashboard analyzing airport operations, focusing on flight delays, time analysis, and detailed flight information to improve efficiency and passenger satisfaction.
Bike Sharing demand prediction	This project leverages AutoGluon in AWS SageMaker Studio to predict bike sharing demand, automating model training and tuning for accurate forecasting.