Back to Introduction to Data Science and scikit-learn in Python
Learner Reviews & Feedback for Introduction to Data Science and scikit-learn in Python by LearnQuest
60 ratings
About the Course
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.
Top reviews
CT
Jan 30, 2022
It could be better if we can see where we did wrong after each assignment. Good and well-paced course otherwise
DH
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.
Loading...