https://github.com/jotstolu/linear-regression-analysis-using-sparkml
linear regression using Apache Spark's MLLib library. This involves Creating a Spark session, loading the data and pre-processing it (such as feature engineering and transformation), Creating a feature vector, splitting it into training and testing sets, training a linear regression model
https://github.com/jotstolu/linear-regression-analysis-using-sparkml
apache-spark linear-regression machine-learning pyspark sparkmllib
Last synced: about 2 months ago
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linear regression using Apache Spark's MLLib library. This involves Creating a Spark session, loading the data and pre-processing it (such as feature engineering and transformation), Creating a feature vector, splitting it into training and testing sets, training a linear regression model
- Host: GitHub
- URL: https://github.com/jotstolu/linear-regression-analysis-using-sparkml
- Owner: jotstolu
- Created: 2024-12-01T14:05:09.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-12-01T15:49:41.000Z (6 months ago)
- Last Synced: 2025-01-26T07:14:13.027Z (4 months ago)
- Topics: apache-spark, linear-regression, machine-learning, pyspark, sparkmllib
- Language: Jupyter Notebook
- Homepage:
- Size: 674 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0