Topic: "sklearn-regression-algorithm"
stxupengyu/sklearn-regression-algorithm
常见sklearn回归算法（随机森林，adaboost，bagging，knn等）在示例数据集上的使用。The application of common sklearn regression algorithms (random forest, AdaBoost, bagging, KNN, etc.) on the sample dataset.
Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0
Jatin-Mehra119/Flight-Price-Prediction
This study aims to analyze flight booking data from "Ease My Trip" website, using statistical tests and linear regression to extract insights. By understanding this data, valuable information can be gained to benefit passengers using the platform.
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Prashanth292003/Resale_Price_Prediction_for_Singapore-Flat
This repository focuses on developing a machine learning model and deploying a user-friendly web application to predict resale prices of flats in Singapore. Utilizing historical resale data, the goal is to create a robust model providing valuable insights for potential buyers and sellers in estimating flat resale values.
Language: Jupyter Notebook - Size: 11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
