Data-Driven Climate Analysis Project

In this project, I harnessed the power of data analytics and AI to tackle complex climate patterns. By sampling a dataset comprising 8 key parameters, such as Sunshine, Max and Min Temperature, I employed advanced linear regression and artificial intelligence techniques. This approach enabled me to unravel intricate relationships within the data, leading to insightful findings and predictive models. This work exemplifies my ability to apply cutting-edge technology to environmental data analysis, showcasing a blend of technical expertise and a commitment to addressing real-world issues.