使用机器学习分析印度的各种气候变化参数
Analysis of various climate change parameters in India using machine learning
摘要：
印度的气候变化是我们社区面临的最令人担忧的问题之一。由于过去几年气候的不利和突然变化，人类受到威胁。气候变化的各种影响包括极端高温、降雨模式变化、干旱、地下水、冰川融化、海平面上升等等。机器学习可用于使用以前的数据分析和预测变化图，从而设计一个模型，该模型在未来还可用于催化有影响力的气候变化工作，并采取措施帮助印度应对即将到来的气候变化。本文分析了印度17个气候变化参数。我们应用线性回归，指数回归，和多项式回归的参数和评估的结果。利用所设计的模型，我们将预测这些参数为2025年，2030年，2035年。因此，这些预测值将有助于我们的社会预防和采取行动，消除对人类的不利和危险影响。我们设计并创建了这个模型，它提供了关于所有17个参数的准确结果。因此，预测值将有助于印度做好应对气候变化的准备。这些数据一旦提供给印度人民，将有助于提高他们的认识，并将有助于我们将我国从气候变化的偶然影响中拯救出来。
英文摘要：
Climate change in India is one of the most alarming problems faced by our community. Due to adverse and sudden changes in climate in past few years, mankind is at threat. Various impacts of climate change include extreme heat, changing rainfall patterns, droughts, groundwater, glacier melt, sea-level rise, and many more. Machine Learning can be used to analyze and predict the graph of change using previous data and thus design a model which in the future can furthermore be used to catalyze impactful work of climate change and take steps in the direction to help India fight against the upcoming climate changes. In this paper, we have analyzed 17 climate change parameters about India. We have applied linear regression, exponential regression, and polynomial regression to the parameters and evaluated the results. Using the designed model, we will predict these parameters for the years 2025,2030, 2035. These predicted values will thus help our community to prevent and take actions against the adverse and hazardous effects on mankind. We have designed and created this model which provides accurate results regarding all 17 parameters. The predicted values will therefore help India to be well equipped against climate change. This data when made available to the people of India will help create awareness among them and will help us save our country from the haphazard effects of climate change.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
