课程大纲
介绍
- Kaggle 概述
- Kaggle 类别和性能层
Kaggle 比赛
- Kaggle 比赛概述
- 比赛形式
- 参加 Kaggle 比赛
- 组建团队
Kaggle 数据集
- Kaggle 数据集类型
- 搜索和创建数据集
- 组织和协作
Kaggle 内核
- Kaggle 内核类型
- 搜索内核
- 内核编辑器和数据源
- 在内核上进行协作
Kaggle 公共 API
- 安装和身份验证
- 将 Kaggle API 用于比赛
- 将 Kaggle 用于数据集
- 创建和维护数据集
- 将 Kaggle API 与内核一起使用
- 推送和拉取内核
- 检查内核的状态和输出
- 创建并运行新内核
- Kaggle 配置
摘要和后续步骤
要求
- Python 编程技能
- 机器学习知识
- 对统计学的理解
观众
- 数据科学家
- 开发 人员
- 任何想使用 Kaggle 学习数据科学的人
客户评论 (6)
示例和练习
Kamil
课程 - Introduction to Data Science and AI using Python
机器翻译
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Vodacom
课程 - Big Data Business Intelligence for Telecom and Communication Service Providers
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
课程 - Data Science for Big Data Analytics
It is great to have the course custom made to the key areas that I have highlighted in the pre-course questionnaire. This really helps to address the questions that I have with the subject matter and to align with my learning goals.
Winnie Chan - Statistics Canada
课程 - Jupyter for Data Science Teams
Trainer was accommodative. And actually quite encouraging for me to take up the course.
Grace Goh - DBS Bank Ltd
课程 - Python in Data Science
Do aprendizado, conseguir colocar em prática os exercícios propostos.