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所在平台: Udemy |
课程主页: https://www.udemy.com/course/loan-default-prediction-time-series-forecasting/
课程评论：没有评论
课程名称：人工智能驱动的银行贷款违约预测 课程概述： 本课程“贷款违约预测与时间序列预测”旨在帮助专业人士和学习者掌握银行与金融领域的预测建模技能。通过结合机器学习技术与真实的金融数据，您将能发展出实用的技能，以预测和防止贷款违约，这是任何金融机构风险管理的关键部分。 课程主要涵盖两个方面。首先，您将深入学习贷款违约预测，掌握如何运用机器学习模型，如XGBoost和人工神经网络（ANN），识别高风险借款人。我们会带您逐步了解独特的银行数据集，并指导您训练和调整预测模型。通过掌握这些技术，您将获得对于关键金融因素的深刻洞察，并能够找出更可能违约的借款人。 其次，课程将介绍贷款违约的时间序列预测，您将使用Prophet模型来预测未来趋势。这对于金融规划尤为重要，使金融机构能够根据预期的违约率主动管理风险。 此外，课程还包括使用Apache NiFi和MySQL等工具构建数据架构模型的实践经验，以模拟真实的银行环境。从数据提取、转换到加载到数据仓库，您将掌握管理和分析大型金融数据集所需的端到端技能。 本课程非常适合数据科学家、金融分析师、数据工程师以及任何对金融数据建模感兴趣的人士。加入我们，提升您在预测分析方面的竞争优势，并在银行领域推动有影响力的洞察！
This comprehensive course, Loan Default Prediction & Time Series Forecasting, is designed for professionals and learners eager to master predictive modeling within the banking and finance domain. By combining machine learning techniques with real-world financial data, you'll develop practical skills to forecast and prevent loan defaults-a crucial aspect of risk management for any financial institution.The course covers two main areas. First, you'll delve into Loan Default Prediction, learning to apply machine learning models like XGBoost and Artificial Neural Networks (ANN) to identify high-risk borrowers. We'll take you through each step, from understanding the unique banking dataset to training and tuning predictive models. By mastering these techniques, you'll gain insights into critical financial factors and learn to pinpoint borrowers more likely to default.The second part addresses Time Series Forecasting for loan defaults, where you'll use the Prophet model to predict future trends. This is invaluable for financial planning, allowing institutions to proactively manage risk based on anticipated default rates.Our course includes hands-on experience in building a Data Architecture Model using tools like Apache NiFi and MySQL to simulate a real-world banking environment. From data extraction and transformation to loading into data warehouses, you'll acquire the end-to-end skills needed for managing and analyzing large datasets in finance.This course is ideal for data scientists, financial analysts, data engineers, and anyone interested in financial data modeling. Join us to gain a competitive edge in predictive analytics and drive impactful insights within the banking sector!
