返回到 Introduction to Data Science and scikit-learn in Python
學生對 LearnQuest 提供的 Introduction to Data Science and scikit-learn in Python 的評價和反饋
11 個評分
課程概述
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.
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1 - Introduction to Data Science and scikit-learn in Python 的 4 個評論（共 4 個）
創建者 Raden R A A Z
•2021年11月10日
meskipun agak eror dalam lab penugasan tapi alhamdulillah sudah bisa
創建者 JUAN J S T
•2021年8月19日
Nice course
創建者 Andrei G
•2021年11月28日
Good introduction. A bit too short for a 4-week course. The autograder is not very good, and some solutions are wrong.
創建者 Henry T
•2021年10月28日
The Dictionary assignment in week 1 requiring 100% to pass has an obvious fault in the assessment process not allowing correct answers to be graded as correct
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