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Data Analysis with Python Code

Learn how to collect data from the web and create a supervised learning model for machine learning!

(5.0) 3 reviews

511 students

Python
Pandas
Web Scraping
EDA
Machine Learning(ML)

This course is prepared for Beginners.

What you will learn!

  • How to collect data on the web

  • Creating a supervised learning model for machine learning

Data Analysis with Python Code

- Learn Data Analysis with Code


Instructor - Professor Kyungmin Kim (Software Convergence Education Center, Pusan National University)


🎯 Course Objectives


1. Learn Python and Pandas through examples.
2. Collect data through scraping.
3. The collected data is examined through the exploratory data analysis (EDA) process.
4. Learn data using machine learning and create a predictive model.



🎯 Course Overview


This course is designed to enable students to learn the following content by practicing examples:

- Review Python and Pandas and learn how to collect data from the web through scraping.
- We will examine the collected data through an exploratory data analysis process and create a machine learning supervised learning model using scikit-learn.


🎯 Things to note before taking the class

  • This course does not provide separate textbooks or source code. (You can take the course without the textbook.)

Recommended for
these people!

Who is this course right for?

  • Anyone who wants to learn data collection and analysis through Python

  • Anyone who wants to learn data collection and analysis through Pandas

  • Anyone who wants to learn exploratory data analysis and machine learning

Hello
This is

14,253

Students

210

Reviews

3

Answers

4.9

Rating

47

Courses

부산대학교 소프트웨어융합교육원입니다.

Curriculum

All

17 lectures ∙ (6hr 46min)

Published: 
Last updated: 

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