zbbnxl Goto Github PK

followers: 0.0 following: 23.0 repos: 22.0 gists: 0.0

Type: User

zbbnxl's Projects

customer-segmentation-analysis

Segment customers based on their transaction performance similarities using business metrics (RFM & cohort analysis) and KMeans model.

customer-survival-analysis-and-churn-prediction

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.

data_visualization

python可视化常用代码

deep-learning-face-detection

This technical report outlines the creation of a two-stage model for: Face Detection (Notebook 1) Face Classification (Notebook 2)

expected-attention-model-of-enterprises

企业预期关注度模型，采用FP-Growth关联算法分析可能导致企业产生不同风险等级的关键特征及其组合

face_detection_and_recognition_yolov5

使用yolov5构建人脸检测模型，使用预训练的Arcface完成人脸特征提取和识别

feature_eda

整理所有特征工程用到的方法，为了复用

givemecredit_top5_solution_kaggle

银行在市场经济中发挥着至关重要的作用。他们决定谁可以获得资金，以什么条件获得资金，可以做出或破坏投资决策。为了让市场和社会发挥作用，个人和公司需要获得信贷。信用评分算法对违约概率进行猜测，是银行用来确定是否应该发放贷款的方法。这项比赛要求参与者通过预测某人在未来两年内遭遇财务困境的可能性来提高信用评分的最新水平。这场竞争的目标是建立一个借款人可以用来帮助做出最佳财务决策的模型。