Rainfall Weather Analysis

Application of the ARIMA model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahawalnagar District, Punjab, Pakistan.

Rainfall Prediction App is an application designed to predict rainfall in the Banyuasin Regency, Indonesia. This project serves as a final project developed to complete the undergraduate program at the University of Sriwijaya. The method employed involves the Tsukamoto Fuzzy Inference System optimized using genetic algorithms.

Personal website. https://channabasavagola.github.io/

IBM Advanced Data Science Capstone Project

This is a rainfall prediction classification using R programming.

Application of the ETS model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahwalnagar District, Punjab, Pakistan.

A ML project with EDA and model that helps in predicting next-day rain by training classification models on the target variable RainTomorrow.

Used different Transformer based and LSTM based models for forecasting rainfall in different areas of Mumbai. Employed different smart training techniques to improve correlation with the true time-series.

This repository is used for DSCI 525 - Web and Cloud Computing course project

Completed for the "Laboratory of Computational Physics Mod. B" under the supervision of Professor Carlo Albert. The project utilizes Keras in TensorFlow for implementation.

Rainfall Prediction with Model Deployment (Heroku)

Data Analysis, Data Science , Boston Housing Price Prediction , Rainfall Prediction

The project aimed to enhance the accuracy of weather and rainfall prediction using machine learning techniques. Leveraging a dataset from Kaggle as a starting point, the team focused on data preprocessing to improve model performance.

A project aiming at delevering tools for visualisation and analysis of Barcelona rainfall data. Data is retrieved from there: https://opendata-ajuntament.barcelona.cat/data/en/dataset/precipitacio-hist-bcn.

ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.

GitHub Actions code for determining the watering amount needed based on met.hu and WeatherAPI.

In this project we see time series analysis Seasonal Autoregressive Integrated Moving Average (SARIMA) model to predict the rainfall in Udaipur district of Rajasthan, India.

cloud burst prediction website rendered using streamlit from a pretrained ml model

Rainfall prediction