polymarket Intelligent Weather Quant Analysis Bot
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Updated
Jun 9, 2026 - Python
polymarket Intelligent Weather Quant Analysis Bot
WindRider-iOS: A SwiftUI app focused on cyclist comfort by analyzing headwinds on routes, with features for tracking and a lock screen widget for instant wind updates.
Meteorological Data Analysis using Python
Weather Data Analysis Performed using Python Libraries numpy and Pandas and Matplotlib for Visulization
A gui application for analyzing weather data and air quality information using python.
A Naive Bayes implementation predicting golf play based on weather conditions, utilizing machine learning techniques.
Weather Analysis Using Python and GoogleMaps API. Created a dataset of 500+ random cities using OpenWeatherMap API to analyze weather patterns as a function of equatorial distance. Filtered cities based on weather variables and used GoogleMaps API to find ideal vacation spots. Data Analysis, linear regression and visualizations conducted using P…
A weather dataset analysis to solve problems related to weather forecasting and analysis for exploratory analysis.
Data-driven analysis of coffee shop sales using correlation, regression, and causal inference. A Jupyter Book project exploring foot traffic, weather patterns, and business analytics.
🛩️ Aviation Weather Briefing System - Real-time METAR/TAF analysis with AI-powered flight recommendations. React + Node.js + Python NLP.
Analysed SEVIR and Storm Datasets and visualized the data using Big Query on Data Studio. Datasets: Sevir Data: The Storm EVent ImagRy (SEVIR) dataset is a collection of temporally and spatially aligned images containing weather events captured by satellite and radar. Visualized using Big Query and Data Studio.
Telangana ClimateScope is an interactive Power BI dashboard that analyzes 4 years (2021–2024) of weather data across Telangana. It visualizes trends in rainfall, temperature, humidity, and wind speed at the district and mandal levels to support climate-resilient decision-making in agriculture, infrastructure, and disaster management.
Weather Analysis and building of a travel app for customers of 500+ cities around the world. Analysis of weather data using APIs and Statistics to create visualizations and recommendations for travel company.
Automate Polymarket weather trades with Kelly sizing, NWS forecast scans, and trade simulation for temperature market edge
Big Data weather analysis using Hadoop MapReduce, Apache Hive, Apache Spark, and Spark MLlib with Docker deployment
Power BI dashboard for analyzing 7-day weather trends across multiple cities using real-time data
A C application for managing temperature measurements using Binary Search Trees and Hash Tables with chaining. Supports file parsing, search, update, and deletion operations by date or average temperature.
NYC Taxi demand forecasting using machine learning and weather analytics. Includes end-to-end pipeline: data preprocessing, feature engineering, XGBoost forecasting, and Power BI dashboards.
Visualizing Weather using API calls in Python
This repository contains an in-depth analysis of historical weather data from Szeged, Hungary. The project uses Python to clean and process data, generate insightful visualizations, and identify patterns and correlations in weather parameters such as temperature, humidity, and precipitation.
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