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In this course, you will develop your data science skills while solving real-world problems. You'll work through the data science process to and use unsupervised learning to explore data, engineer and select meaningful features, and solve complex supervised learning problems using tree-based models. You will also learn to apply hyperparameter tuning and cross-validation strategies to improve model performance. NOTE: This is the third and final course in the Data Science with Databricks for Data Analysts Coursera specialization. To be successful in this course we highly recommend taking the first two courses in that specialization prior to taking this course. These courses are: Apache Spark for Data Analysts and Data Science Fundamentals for Data Analysts....



1 - Applied Data Science for Data Analysts 的 7 个评论(共 7 个)

创建者 Saurab R

Jul 7, 2021

创建者 Xiaoyue Z

Dec 19, 2020

创建者 Dzmitry S

Jan 8, 2022

创建者 Ivan O C

Jun 23, 2021

创建者 reneryu

Oct 27, 2022

创建者 Leandro C

Apr 17, 2021

创建者 stephane d

Dec 29, 2020