PostgreSQL and Machine Learning - step-by-step python tutorial
Learn how to combine PostgreSQL and machine learning workflows in Python, from data extraction to model training and analysis.
PostgreSQL and Machine Learning - step-by-step python tutorial launched on September 18, 2020 with 6 votes, #1,359 of 3,898 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 6 years on.
What it does
I will show you how to apply Machine Learning algorithms on data from the PostgreSQL database to get insights and predictions. I will use an Automated Machine Learning (AutoML) supervised . It is an open-source python package. Thanks to AutoML I will get quick access to many ML algorithms: Decision Tree, Logistic Regression, Random Forest, Xgboost, Neural Network. The AutoML will handle feature engineering as well. I will show you python code snippets that can be reused to integrate Machine Learning with PostgreSQL as a part of the ETL pipeline. I will use Portugese Bank Marketing dataset ( bank_cleaned.csv file). This dataset is about the marketing campaigns, which aim to promote financial…from mljar.com
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