[가짜연구소] Data Scientist - Python 8주차.

 

 

 

안녕하세요 늑대양입니다 🥸

 

 

오늘은 가짜연구소 스터디 8주차 학습 내용을 안내해드리도록 하겠습니다.

 

 

 

 

 

 

 

 

 

 

프로그램: Data Scientist - Python - 황지*님/이다*님

 

 

Programming 부터 Deep Learning 까지!

 

 

 

 

8주차 학습 주제: Introduction to NumPy

 

8주차 학습 material URL: https://app.datacamp.com/learn/courses/introduction-to-numpy

 

 

 

Introduction to NumPy

 

 

 

Course Description

• NumPy is an essential Python library. 
• TensorFlow and scikit-learn use NumPy arrays as inputs, and pandas and Matplotlib are built on top of NumPy.
• In this Introduction to NumPy course, you'll become a master wrangler of NumPy's core object: arrays!
• Using data from New York City's tree census, you'll create, sort, filter, and update arrays.
• You'll discover why NumPy is so efficient and use broadcasting and vectorization to make your NumPy code even faster.
• By the end of the course, you'll be using 3D arrays to alter a Claude Monet painting, and you'll understand why such array alterations are essential tools for machine learning.

 

 

Index

1. Understanding NumPy Arrays
2. Selecting and Updating Data
3. Array Mathematics!
4. Array Transformations

 

 

 

 

 

 

 

 

 

 

긴 글 읽어주셔서 감사합니다 😆