Build ML Pipelines using SparkML in PySpark | Python | Google Colab
In this video, I will show you how to do build Machine Learning pipelines in PySpark using SparkML on Google Colab. Below are the contents of this video:
1. Preprocessing data using SparkML
2. Modeling using SparkML
3. Prediction on Test data
4. Building ML pipelines
Notes: Transformer will call only transform() method and the resulting data frame will be passed to next stage. For Estimator, it will call fit() method, which returns a model and then transform() method will be called to create the output data frame.
Link to the previous video on "Modeling in PySpark using Spark ML": • Modeling in PySpark using Spark ML on Cola...
Link to the playlist "Getting started with PySpark" : • Getting started with PySpark
Link to "Setting up the PySpark environment on Google Colab" video: • Setting up the PySpark environment on Goog...
Link to the GitHub repo: https://github.com/Abhishekmamidi123/...
Check out my "Data Science guide for freshers and enthusiasts" playlist: • My path to becoming a Data Scientist | Abh...
I have put my 3 years of learning experience into this playlist.
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