Chevron Left
返回到 Introduction to Data Science and scikit-learn in Python

学生对 LearnQuest 提供的 Introduction to Data Science and scikit-learn in Python 的评价和反馈

29 个评分


This course will teach you how to leverage the power of Python and artificial intelligence to create and test hypothesis. We'll start for the ground up, learning some basic Python for data science before diving into some of its richer applications to test our created hypothesis. We'll learn some of the most important libraries for exploratory data analysis (EDA) and machine learning such as Numpy, Pandas, and Sci-kit learn. After learning some of the theory (and math) behind linear regression, we'll go through and full pipeline of reading data, cleaning it, and applying a regression model to estimate the progression of diabetes. By the end of the course, you'll apply a classification model to predict the presence/absence of heart disease from a patient's health data....



Apr 4, 2022

The topic is great, and the linkage and references provided are valuable.

The hands-on quiz should be supported with better instructions and descriptions regarding what to do.


Nov 9, 2021

meskipun agak eror dalam lab penugasan tapi alhamdulillah sudah bisa


1 - Introduction to Data Science and scikit-learn in Python 的 10 个评论(共 10 个)

创建者 David H

Apr 5, 2022

创建者 Raden R A A Z

Nov 10, 2021

创建者 Luca S

Mar 1, 2022

创建者 Karol P

May 5, 2022

创建者 JUAN J S T

Aug 19, 2021

创建者 Henry T

Oct 28, 2021

创建者 Andrei G

Nov 28, 2021

创建者 Celine T

Jan 31, 2022

创建者 Maarten v d S

Nov 14, 2022

创建者 Lewis N

Nov 9, 2022