ML of Population age structure forecast by using linear_model

Given that Taiwan has reached an aging society in the past few years, there must be many changes in the demographic structure. In this project, we hope to use ML to predict and analyze the dependence of the age population to achieve the prediction effect. In this article, use the'requests' module pair public government webpage to crawl, and use a parser to analyze the table Then make predictions about it. 有鑑於台灣在前幾年已達高齡化社會，在人口結構上肯定有不少變化，在這個專案希望藉由ML來預測並且分析年齡人口的相依性，來達到預測效果。 在本篇中使用'requests'模組對政府公開網頁進行爬蟲，並且使用解析器分析table 再對其進行預測。

In this project, we used the data from 1992-2021 march, a total of 273 data. In the analysis heat map, it can be seen that the feature in'young' is extremely sensitive to other fields and is extremely important in the feature. 在這次的專案中使用1992 - 2021 march的資料，一共273筆資料。在分析熱力圖中可以看到在'young'的特徵對其他欄位極為敏感，在特徵中極為重要。