Just For My Daily Diary
Just For My Daily Diary
This notebook is an exercise in the Pandas course. You can reference the tutorial at this link. Introduction In this set of exercises we will work with the Wine Reviews dataset. 介绍 在这组练习中，我们将使用葡萄酒评论数据集。 Run the following cell to load your data and some utility functions (including code to check your answers). 运行以下单元格来加载您的数据和一些实用函数（包括用于检查答案的代码）。 import pandas as […]
Introduction 介绍 Selecting specific values of a pandas DataFrame or Series to work on is an implicit step in almost any data operation you’ll run, so one of the first things you need to learn in working with data in Python is how to go about selecting the data points relevant to you quickly and […]
This notebook is an exercise in the Pandas course. You can reference the tutorial at this link. Introduction 介绍 The first step in most data analytics projects is reading the data file. In this exercise, you’ll create Series and DataFrame objects, both by hand and by reading data files. 大多数数据分析项目的第一步是读取数据文件。 在本练习中，您将手动或通过读取数据文件来创建 Series 和 DataFrame 对象。 […]
Introduction 介绍 In this micro-course, you’ll learn all about pandas, the most popular Python library for data analysis. 在这个微课程中，您将了解有关pandas的所有信息，这是最流行的数据分析Python库。 Along the way, you’ll complete several hands-on exercises with real-world data. We recommend that you work on the exercises while reading the corresponding tutorials. 在此过程中，您将使用真实数据完成一些实践练习。 我们建议您在阅读相应教程的同时做练习。 To start the first exercise, please click here. 要开始第一个练习，请单击此处。 In […]
This notebook is an exercise in the Introduction to Machine Learning course. You can reference the tutorial at this link. Introduction 介绍 In this exercise, you will create and submit predictions for a Kaggle competition. You can then improve your model (e.g. by adding features) to improve and see how you stack up to others […]
Machine learning competitions are a great way to improve your data science skills and measure your progress. 机器学习竞赛是提高数据科学技能和衡量进步的好方法。 Your Turn 到你了 Use what you’ve learned in the course to create a submission to a Kaggle competition! 使用您在课程中学到的知识创建提交到 Kaggle 竞赛！ In the next exercise, you will create and submit predictions for the House Prices Competition for […]
Machine learning competitions are a great way to improve your data science skills and measure your progress. 机器学习竞赛是提高数据科学技能和衡量进步的好方法。 Your Turn 到你了 Use what you’ve learned in the course to create a submission to a Kaggle competition! 使用您在课程中学到的知识创建提交到 Kaggle 竞赛！ In the next exercise, you will create and submit predictions for the House Prices Competition for […]
Machine learning competitions are a great way to improve your data science skills and measure your progress. 机器学习竞赛是提高数据科学技能和衡量进步的好方法。 Your Turn 到你了 Use what you’ve learned in the course to create a submission to a Kaggle competition! 使用您在课程中学到的知识创建提交到 Kaggle 竞赛！ In the next exercise, you will create and submit predictions for the House Prices Competition for […]
This notebook is an exercise in the Introduction to Machine Learning course. You can reference the tutorial at this link. Recap 回顾 Here’s the code you’ve written so far. 这是您到目前为止编写的代码。 # Code you have previously used to load data import pandas as pd from sklearn.metrics import mean_absolute_error from sklearn.model_selection import train_test_split from sklearn.tree import DecisionTreeRegressor […]
Introduction 介绍 Decision trees leave you with a difficult decision. A deep tree with lots of leaves will overfit because each prediction is coming from historical data from only the few houses at its leaf. But a shallow tree with few leaves will perform poorly because it fails to capture as many distinctions in the […]