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.
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Oct 4, 2020 - Jupyter Notebook
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sklearn-regression-algorithm
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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.
python machine-learning data-analysis datavisualization datacleaning sklearn-pipeline streamlit-webapp preprocessing-data sklearn-regression-algorithm
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Jun 5, 2024 - Jupyter Notebook
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.
python numpy plotly pandas seaborn matplotlib sklearn-classifier streamlit sklearn-regression-algorithm
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Mar 1, 2024 - Jupyter Notebook
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