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Introduction to Data Science and scikit-learn in Python に戻る

LearnQuest による Introduction to Data Science and scikit-learn in Python の受講者のレビューおよびフィードバック



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....



Introduction to Data Science and scikit-learn in Python: 1 - 8 / 8 レビュー

by Luca S


The course stars off well, but there is a steep learning curve and fast pace, with assignments often much harder than what was discussed in the classes or than what is reported in the documentation. Assignments could be written more clearly. However, the course does cover quite some basics on the field.

by Karol P


T​he subject is interesting and exercises are educational but there are many shortcomings. Numerous assignments are broken and some answers in quizes are wrong. In the last one I have copied author's solution and even then I was 20 points short. Additionally, more than half of materials are just links to library documentation. The examples to work with are interesting, but those are almost exclusively the ones provided with sklearn library. I've learned a lot in this course, but I have a feeling that this is because numpy, pandas and sklearn are well documented, not because this course is well made.

by Henry T


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

by David H


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.

by Raden R A A Z


meskipun agak eror dalam lab penugasan tapi alhamdulillah sudah bisa



Nice course

by Andrei G


Good introduction. A bit too short for a 4-week course. The autograder is not very good, and some solutions are wrong.

by Celine T


It could be better if we can see where we did wrong after each assignment. Good and well-paced course otherwise