WEATHER FORECASTING USING MACHINE LEARNING TECHNIQUES

Prof. S. Sabeena , Mr. B. Shri Ram , Ms. R. Harini

Weather prediction plays a critical role in various domains, including agriculture, transportation, and disaster management. This paper affords a Python-based device getting to know venture aimed at predicting climate situations with the usage of information sourced from the Indian Weather Repository. We unveil large insights into climate patterns through meticulous facts preprocessing and a focus on the ultimate 3 days inside the Asia/Kolkata time zone. Employing exploratory data evaluation (EDA) visualizations, such as temperature and rainfall heat maps, wind route representations, and spatial distributions, we gain a comprehensive understanding of the underlying traits. The predictive modeling segment integrates numerous algorithms, which include Linear Regression, K-Nearest Neighbors (KNN) Regression, and K-means clustering. These models offer nuanced perspectives, forecasting temperature based totally on humidity, leveraging neighboring information factors for predictions, and categorizing climate stations into wonderful climate clusters. Visualizations amplify geospatial elements, presenting temperature density maps and clustered scatter plots on a map. This method ensures a holistic comprehension of weather dynamics, empowering stakeholders to make informed selections based on accurate predictions. The paper concludes with a précis of findings, implications for weather prediction, and capability avenues for destiny research, emphasizing the undertaking's significance in advancing meteorological understanding and forecasting capabilities.

Published Paper   E-Certificate

"WEATHER FORECASTING USING MACHINE LEARNING TECHNIQUES ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 4, page no.361 - 366, April-2024, Available :https://ijsdr.org/papers/IJSDR2404054.pdf

Volume 9 Issue 4, April-2024

Pages : 361 - 366

Paper Reg. ID: IJSDR_210676

Published Paper Id: IJSDR2404054

Downloads: 000347556

Research Area: Computer Science & Technology 

Country: Coimbatore, Tamil Nadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2404054

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2404054

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition