Вернуться к Getting Started with Kaggle
Отзывы учащихся о курсе Getting Started with Kaggle от партнера Coursera Project Network
Оценки: 30
О курсе
In this guided project, you will explore Kaggle Competitions, Kaggle Datasets, Kaggle Notebooks which is a cloud-based coding environment, Kaggle Discussion forum and Kaggle Courses.
We will begin this course by creating a Kaggle account. We will then explore Kaggle competitions, the prize money and how to participate in them. We will focus primarily on the legendary Titanic Machine learning competition. We will explore Kaggle datasets. We will also explore Kaggle Notebooks which is a cloud-based coding environment. We will also explore the awesome “Copy and Edit” feature from Kaggle notebooks that enables us to work on and improvise on the work of others. In the final tasks, we will explore the Kaggle community discussion forum and explore the theoretical and practical sections of Kaggle courses.
By the end of this project, you will be confident in using Kaggle for your data science and machine learning needs.
Фильтр по:
1–6 из 6 отзывов о курсе Getting Started with Kaggle
автор: Chaitanya k
•28 июля 2022 г.
well explainatory.
автор: yaopeijun
•17 февр. 2022 г.
good
автор: Stanley H B I
•29 июля 2022 г.
Very basic intro to kaggle.
автор: Ashish B
•29 мар. 2022 г.
This introduced Kaggle really well, but the tutor needs to give more time explaning how we can utilize each and every section.
For those who are new, he could suggest in an elaborate way on where to begin the journey from.
I would like to get in touch with this person, for the same
автор: Abdullah A M
•26 июля 2022 г.
The video was not scalable. More handson content should be added, some course work would be nice.
автор: Nicolás B L
•19 июля 2022 г.
I've done only the three first videos, it's better to follow the info in the kaggle website.
Coursera Footer
© Coursera Inc., 2022 Все права защищены.
