Feature Engineering at Scale: PySpark, Python & Snowflake
Imagine you’re staring at a database containing thousands of merchants across multiple countries, each with its own website.
Machine Learning
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The Power of Ensemble Learning: A Comprehensive Python Guide
Unlock AI’s true potential with Ensemble Learning! Dive into bagging, boosting, stacking, and voting techniques in Python with scikit-learn.
10 Must-Know Machine Learning Algorithms
Master these, and you won’t just be dipping your toes in the machine learning pool — you’ll be doing cannonballs into real-world problem-solving.
PyTorch: A Quick & Dirty Intro
This article provides a hands-on introduction to PyTorch, covering installation, building a simple linear regression model, data preparation, training, evaluation, and further resources.
Handling Categorical Variables in scikit-learn: Strategies and Encoding Techniques
Categorical variables must be encoded before use in scikit-learn models. This article covers 3 of the core strategies and best practices for handling categorical features in machine learning with code examples.