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.
Este curso faz parte do Programa de cursos integrados Data Science with Databricks for Data Analysts
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Informações sobre o curso
Completion of the first two courses in the Data Science with Databricks for Data Analysts Coursera specialization. This course is the final course.
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Experimente o Coursera for BusinessO que você vai aprender
Explore data using unsupervised machine learning.
Solve complex supervised learning problems using tree-based models.
Apply hyperparameter tuning and cross-validation strategies to improve model performance.
Habilidades que você terá
- Data Science
- Machine Learning
- Databricks
Completion of the first two courses in the Data Science with Databricks for Data Analysts Coursera specialization. This course is the final course.
Sua empresa se beneficiaria do treinamento dos funcionários em habilidades sob demanda?
Experimente o Coursera for Businessoferecido por
Programa - O que você aprenderá com este curso
Welcome to the Course
Applied Unsupervised Learning
Feature Engineering and Selection
Applied Tree-based Models
Avaliações
- 5 stars72,22%
- 4 stars13,88%
- 2 stars8,33%
- 1 star5,55%
Principais avaliações do APPLIED DATA SCIENCE FOR DATA ANALYSTS
Very practical applied machine learning course on data science while covering key components informatively
Well defined exercice with usage of Pyspark in Databricks
Great course for an overview but with a high level of abstraction (usage of existing libraries but very little coding of algorithms that show the details of the principles)
Sobre Programa de cursos integrados Data Science with Databricks for Data Analysts

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