Machine Learning with Apache Spark
Completed by Selasie Vondee
February 26, 2025
15 hours (approximately)
Selasie Vondee's account is verified. Coursera certifies their successful completion of Machine Learning with Apache Spark
What you will learn
Describe ML, explain its role in data engineering, summarize generative AI, discuss Spark's uses, and analyze ML pipelines and model persistence.
Evaluate ML models, distinguish between regression, classification, and clustering models, and compare data engineering pipelines with ML pipelines.
Construct the data analysis processes using Spark SQL, and perform regression, classification, and clustering using SparkML.
Demonstrate connecting to Spark clusters, build ML pipelines, perform feature extraction and transformation, and model persistence.
Skills you will gain
- Category: Predictive Modeling
- Category: Extract, Transform, Load
- Category: Generative AI
- Category: Apache Spark
- Category: Machine Learning
- Category: Data Transformation
- Category: Data Pipelines
- Category: Classification Algorithms
- Category: Unsupervised Learning
- Category: Supervised Learning
- Category: Model Deployment
- Category: Regression Analysis
