Machine Learning with Implementation in Java
Completed by Ishita Goutam Palchoudhury
February 9, 2026
10 hours (approximately)
Ishita Goutam Palchoudhury's account is verified. Coursera certifies their successful completion of Machine Learning with Implementation in Java
What you will learn
Apply data preprocessing techniques using Java tools like Weka and Tribuo for machine learning tasks.
Build, train, and evaluate classification, regression, and deep learning models using DL4J, Tribuo, and DJL.
Implement NLP and scalable machine learning workflows using Apache OpenNLP, Spark MLlib, and Mahout.
Deploy machine learning models using standardized formats like PMML and ONNX, ensuring cross-platform interoperability and production readiness.
Skills you will gain
- Category: Deep Learning
- Category: Data Preprocessing
- Category: Data Transformation
- Category: Feature Engineering
- Category: Apache Spark
- Category: Data Cleansing
- Category: Data Processing
- Category: Applied Machine Learning
- Category: Natural Language Processing
- Category: Model Evaluation
- Category: Machine Learning
- Category: Java

