Machine Learning with Apache Spark
Completed by Philippe Perin
September 30, 2023
15 hours (approximately)
Philippe Perin'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: Data Processing
- Category: Regression Analysis
- Category: Model Deployment
- Category: Machine Learning
- Category: Extract, Transform, Load
- Category: Classification Algorithms
- Category: Data Transformation
- Category: Supervised Learning
- Category: Unsupervised Learning
- Category: Apache Hadoop
- Category: Generative AI
- Category: Model Evaluation
