Chevron Left
Get Familiar with ML basics in a Kaggle Competition(으)로 돌아가기

Coursera Project Network의 Get Familiar with ML basics in a Kaggle Competition 학습자 리뷰 및 피드백

26개의 평가

강좌 소개

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....

최상위 리뷰

필터링 기준:

Get Familiar with ML basics in a Kaggle Competition의 5개 리뷰 중 1~5

교육 기관: 121910303051 V S T

2021년 3월 6일

교육 기관: Hideki O

2021년 10월 22일

교육 기관: Isara S

2021년 9월 17일

교육 기관: Mustak A

2021년 8월 5일

교육 기관: F 1 B

2022년 8월 11일