Building Machine Learning Pipelines in PySpark MLlib
Learn how to create a Random Forest pipeline in PySpark
Learn how to choose best model parameters using Cross Validation and Hyperparameter tuning in PySpark
Learn how to create predictions and assess model's performance in PySpark
By the end of this project, you will learn how to create machine learning pipelines using Python and Spark, free, open-source programs that you can download. You will learn how to load your dataset in Spark and learn how to perform basic cleaning techniques such as removing columns with high missing values and removing rows with missing values. You will then create a machine learning pipeline with a random forest regression model. You will use cross validation and parameter tuning to select the best model from the pipeline. Lastly, you will evaluate your model’s performance using various metrics. A pipeline in Spark combines multiple execution steps in the order of their execution. So rather than executing the steps individually, one can put them in a pipeline to streamline the machine learning process. You can save this pipeline, share it with your colleagues, and load it back again effortlessly. Note: You should have a Gmail account which you will use to sign into Google Colab. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Skills you will develop
- Machine Learning Pipelines
- hyperparameter tuning
- PySpark
- Cross Validation
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Install Spark on Google Colab and load a dataset in PySpark
Describe and clean your dataset
Create a Random Forest pipeline to predict car prices
Create a cross validator for hyperparameter tuning
Train your model and predict test set car prices
Evaluate your model’s performance via several metrics
How Guided Projects work
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
Reviews
TOP REVIEWS FROM BUILDING MACHINE LEARNING PIPELINES IN PYSPARK MLLIB
This Course is Very useful. This course big advantage is short. Read short, Learn Big.
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