In this 1-hour project-based course, you will learn to build a logistic regression model using Pyspark MLLIB to classify patients as either diabetic or non-diabetic. The course is designed to provide a comprehensive understanding of building and training a logistic regression classifier using Pyspark MLLIB. You will also gain the knowledge to set up Pyspark on the Google Colab environment and work with Pyspark Dataframe.
This beginner-friendly course is ideal for individuals with a theoretical understanding of the Logistic Regression algorithm and familiarity with the Python Programming language. By the end of the project, you will be equipped with the skills to clean and prepare data for analysis, and build a logistic regression classifier using Pyspark MLlib to classify between diabetic and non-diabetic patients. Please note that the dataset and the model in this project are for educational purposes only and should not be used in real-life scenarios.
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