Temperature Schedules for self-supervised contrastive methods on long-tail data (ICLR'23)

Statistics class project aimed at studying the relationship between temperature and other attributes such as humidity, pressure, etc in Szeged, Hungary to build effective predictive models.

Simple BLSTM-MLP for sensor data classification

This is a fork of the original library to be able to be run on Hikey 970 board using a makefile on top of scons for analyzing bottlenecks and improving performance on it.

Climate Analysis App using Python Pandas, Matplotlib, SQLAlchemy, and Flask.

SQLAlchemy Homework - Surfs Up! vacation planning.

Statistical analysis of FPL electrical demand and net generation using Pearson correlation and simple linear regression to evaluate how temperature and precipitation influence power usage across multiple Florida locations. Includes Excel‑based preprocessing, modeling, and data‑driven insights.

Global Land and Ocean Average Temperature Anomalies in WPF HeatMap

Context Climate change is affecting the world and Pakistan is no different. This is a one of its kind dataset for the average temperature in the country for the last 116 years.

Urban Heat Island Analysis Tool comparing urban and rural temperatures using live meteorological data and interactive visualizations.

Kaggle Data Science & Machine Learning: House Prices and Detective Intuition Analysis.