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…
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.
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.
A weather dataset analysis to solve problems related to weather forecasting and analysis for exploratory analysis.
Week 11 - Designing our first website using HTML, CSS and Bootstrap 4.
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.
Visualizing Weather using API calls in Python
Using Python language. Jupyter notebook 6.4.8 Visual Studio Code with SQLite to prepare weather Analysis
Flood Cause Analysis with various weather factors
Weather Analysis using PySpark
Created a page to provide real-time suggestions for PlanMyTrip's clients' ideal hotels. This project involved weather analysis as well as hotel options for the cities PlanMyTrip's clients say they're interested in. Also provided clients with a map of their destinations and a map displaying a suggested itinerary based on their inputs.
Digest climatic data from Trollhättan using Deep Learning algorithms and techniques
Smart Weather Analytics in Cities of Kazakhstan
Using Pandas and API to analyze and visualize weather data for hotels within cities around the world for a travel company.
Dashboard App for weather analysis in 500+ world cities using HTML5, CSS3 and Bootstrap4
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