Author : ZhuangBin

This notebook is an exercise in the Introduction to Machine Learning course. You can reference the tutorial at this link. Recap You’ve built a model. In this exercise you will test how good your model is. Run the cell below to set up your coding environment where the previous exercise left off. 回顾 你已经建立了一个模型。 在本练习中，您将测试您的模型有多好。 […]

You’ve built a model. But how good is it? In this lesson, you will learn to use model validation to measure the quality of your model. Measuring model quality is the key to iteratively improving your models. 你已经建立了一个模型。 但它有多好呢？ 在本课程中，您将学习使用模型验证来衡量模型的质量。 衡量模型质量是迭代改进模型的关键。 What is Model Validation You’ll want to evaluate almost every model you ever build. […]

This notebook is an exercise in the Introduction to Machine Learning course. You can reference the tutorial at this link. Recap So far, you have loaded your data and reviewed it with the following code. Run this cell to set up your coding environment where the previous step left off. 回顾 到目前为止，您已经加载了数据并使用以下代码对其进行了检查。 在上一步结束的位置运行此单元以设置编码环境。 # Code […]

Selecting Data for Modeling Your dataset had too many variables to wrap your head around, or even to print out nicely. How can you pare down this overwhelming amount of data to something you can understand? We’ll start by picking a few variables using our intuition. Later courses will show you statistical techniques to automatically […]

Machine Learning Course Home Page This exercise will test your ability to read a data file and understand statistics about the data. In later exercises, you will apply techniques to filter the data, build a machine learning model, and iteratively improve your model. The course examples use data from Melbourne. To ensure you can apply […]

Using Pandas to Get Familiar With Your Data The first step in any machine learning project is familiarize yourself with the data. You’ll use the Pandas library for this. Pandas is the primary tool data scientists use for exploring and manipulating data. Most people abbreviate pandas in their code as pd. We do this with […]

Introduction We’ll start with an overview of how machine learning models work and how they are used. This may feel basic if you’ve done statistical modeling or machine learning before. Don’t worry, we will progress to building powerful models soon. This course will have you build models as you go through following scenario: Your cousin […]