通过实际案例研究掌握机器学习

上次更新时间：2024-09-29
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课程内容

1 - Linear Regression using House Rent Prediction

2 - Multicollinearity using Car Dataset

3 - Logistic Regression using Credit Card Fraud Classification

4 - SVC using Bank Customer Retirement Classification

5 - Regularization using Sales Price Dataset

6 - Decision Tree

7 - Random Forest using Housing Price Dataset

8 - PCA using Housing Price Prediction

9 - K-Means using Social Media and Customer Segmentation

10 - Naive Bayes using Fraud Classification

11 - AdaBoost using Housing Price Prediction

12 - ARIMA

13 - XGB using Stock Dataset