Flashield's Blog

Just For My Daily Diary

Flashield's Blog

Just For My Daily Diary

Year: 2025

02. course-trend【趋势】

What is Trend? 什么是趋势? The trend component of a time series represents a persistent, long-term change in the mean of the series. The trend is the slowest-moving part of a series, the part representing the largest time scale of importance. In a time series of product sales, an increasing trend might be the effect of […]

01. exercise-linear-regression-with-time-series【练习:时间序列线性回归】

This notebook is an exercise in the Time Series course. You can reference the tutorial at this link. Introduction 简介 Run this cell to set everything up! 运行此单元完成所有设置! # Setup feedback system from learntools.core import binder binder.bind(globals()) from learntools.time_series.ex1 import * # Setup notebook from pathlib import Path from learntools.time_series.style import * # plot style […]

01. course-linear-regression-with-time-series【时间序列线性回归】

Welcome to Time Series! 欢迎来到时间序列! Forecasting is perhaps the most common application of machine learning in the real world. Businesses forecast product demand, governments forecast economic and population growth, meteorologists forecast the weather. The understanding of things to come is a pressing need across science, government, and industry (not to mention our personal lives!), and […]

Install Elasticsearch with Docker

Docker images for Elasticsearch are available from the Elastic Docker registry. A list of all published Docker images and tags is available at www.docker.elastic.co. The source code is in GitHub. Elasticsearch 的 Docker 镜像可从 Elastic Docker 镜像仓库获取。所有已发布的 Docker 镜像和标签的列表可在 www.docker.elastic.co 上找到。源代码位于 GitHub 中。 This package contains both free and subscription features. Start a 30-day trial […]

05.exercise-advanced-uses-of-shap-values【练习:SHAP值的高级用法】

This notebook is an exercise in the Machine Learning Explainability course. You can reference the tutorial at this link. Set Up 设置 We have again provided code to do the basic loading, review and model-building. Run the cell below to set everything up: 我们再次提供了代码来执行基本的加载、审查和模型构建。运行下面的单元格来设置一切: import numpy as np import pandas as pd from sklearn.ensemble import […]

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