Machine Learning with Apache Spark
Completed by Richard Beauregard
April 10, 2024
15 hours (approximately)
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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: Regression Analysis
- Category: Extract, Transform, Load
- Category: Machine Learning
- Category: Generative AI
- Category: Data Processing
- Category: Apache Hadoop
- Category: Unsupervised Learning
- Category: Classification Algorithms
- Category: Data Transformation
- Category: Supervised Learning
- Category: Model Evaluation
