There are many great machine learning tutorials on the internet. However, most of them focus on a specific part of the machine learning, for example, exploring data, build a model, training, and evaluation. Very few of them introduce the complete steps for building a machine learning model. One of the most popular articles outlines the steps for approaching the process of machine learning is Yufeng Guo’s The 7 steps of Machine Learning , introduced by Google Cloud Platform. https://www.youtube.com/watch?v=nKW8Ndu7Mjw Guo laid out the 7 steps as follows: Gathering data Preparing data (and exploring data) Choosing a model Training Evaluation Hyperparameter tuning Prediction (and save model) In this article, we are going to put the above steps into practice and build a machine learning model from scratch. 链接地址： https://towardsdatascience.com/the-googles-7-steps-of-machine-learning-in-practice-a-tensorflow-example-for-structured-data-96ccbb707d77