Webb從kaggle中找到Thera Bank貸款用戶的相關數據,數據來源如下: Bank_Loan_modelling? www.kaggle.com 接下來要進行數據分析,在此之前先講述下數據分析的流程,主要分為提出問題、理解數據、數據清洗、構建模型、數據可視化。 圖1 數據分析流程 三、數據分析 根據上述的數據分析流程,對Thera Bank的存款用戶進行分析。 (一)提出問題 Q1: … Webb2 sep. 2024 · 项目背景:Thera Bank银行的主要盈利业务靠的是贷款,这些客户中的大多数是存款大小不等的责任客户(存款人)。 同时也是借款人的客户(资产客户)数量很 …
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Webb24 apr. 2024 · 这部分数据只有300条,所以比较少。 1. 逾期金额与逾期天数 可以发现A等级客户的拖欠金额比较高,这是因为额度本身就比较高,同时随着逾期天数的增加,逾期总金额也逐渐增加 其他客户的逾期天数与拖欠金额相关系数较低, 随着不同等级客户的额度下降,拖欠金额下降。 2. 拖欠比例与消费比例 发现A等级客户和B等级客户的消费比例较 … Webb23 aug. 2024 · Identified potential loan customers for Thera Bank using classification techniques. Compared models built with Logistic Regression and KNN algorithm in order to select the best performing one. Personal Loan vs Income Model Scores Model Scores with SMOTE 3. Ensemble Techniques Covers Decision Trees, Bagging, Random Forests, … fixing hammer toes without surgery
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Webb7 sep. 2024 · Identified potential loan customers for Thera Bank using classification techniques. Compared models built with Logistic Regression and KNN algorithm in order to select the best performing one. - GitHub - aaqiwork/Potential-Customer-Identification-Bank-MachineLearning: Identified potential loan customers for Thera Bank using … WebbYou as a Data scientist at Thera bank need to come up with a classification model that will help bank improve their services so that customers do not renounce their credit cards. Objective. 1. Explore and visualize the dataset. 2. Build a classification model to predict if the customer is going to churn or not. 3. Webb3 mars 2024 · Thera Bank是一家拥有不断增长客户群的银行。 这银行中大多数客户的存款规模都是不一样的。 由于贷款业务的客户数量很少,所以银行希望有效地将存款用户转化为贷款用户以此扩大贷款业务量的基础,以带来更多的贷款业务,并在此过程中,通过贷款利 … fixing hardened carpet