Chevron Left
返回到 Get Familiar with ML basics in a Kaggle Competition

學生對 Coursera Project Network 提供的 Get Familiar with ML basics in a Kaggle Competition 的評價和反饋

4.3
26 個評分

課程概述

In this 1-hour long project, you will be able to understand how to predict which passengers survived the Titanic shipwreck and make your first submission in an Machine Learning competition inside the Kaggle platform. Also, you as a beginner in Machine Learning applications, will get familiar and get a deep understanding of how to start a model prediction using basic supervised Machine Learning models. We will choose classifiers to learn, predict, and make an Exploratory Data Analysis (also called EDA). At the end, you will know how to measure a model performance, and submit your model to the competition and get a score from Kaggle. This guided project is for beginners in Data Science who want to do a practical application using Machine Learning. You will get familiar with the methods used in machine learning applications and data analysis. In order to be successful in this project, you should have an account on the Kaggle platform (no cost is necessary). Be familiar with some basic Python programming, we will use numpy and pandas libraries. Some background in Statistics is appreciated, like as knowledge in probability, but it’s not a requirement....

熱門審閱

篩選依據:

1 - Get Familiar with ML basics in a Kaggle Competition 的 5 個評論(共 5 個)

創建者 121910303051 V S T

2021年3月6日

創建者 Hideki O

2021年10月22日

創建者 Isara S

2021年9月17日

創建者 Mustak A

2021年8月5日

創建者 F 1 B

2022年8月11日