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• Post :- 26th Sep 2022

Unsupervised & supervised learning

Hierarchical clustering

Fundamental knowledge of Big Data and Spark

Knowledge of pyspark including data partition, shuffling, operation etc

Understanding the data pipeline of pyspark

MLOps- model deployment as well as  model monitoring in production & MLops best practices , Anomaly detection

Handling large data volume

Good Python knowledge.