Polars Feature Engineering: Lags, Diffs, and Percent Changes
If you are training a Machine Learning model to predict stock prices or sales, you can’t just feed it “Today’s Price.” You need to feed…
Your First LLM: A Beginner’s Guide to Hugging Face transformers
Machine learning is no longer just about Scikit-Learn. The future is Large Language Models (LLMs). Hugging Face is the “GitHub for AI models,” and their…
Machine Learning Project: K-Means Clustering for Customer Segmentation
We’ve done Regression (predicting prices) and Classification (predicting species). Both are Supervised learning (they need labeled answers). Now let’s dive into K-Means Clustering Python, a…
Machine Learning Project: Your First Classifier (Iris Dataset)
In our House Price project, we did Regression (predicting a number). Today, we’ll do Classification (predicting a category). We’re going to explore a Machine Learning…
Machine Learning Project: Predicting House Prices with Scikit-Learn
In our Scikit-Learn intro, we used tiny fake data. Now we’ll use Python to predict house prices and build a real model. We’ll use a…
Your First Machine Learning Model: Linear Regression with Scikit-Learn
Machine Learning (ML) often sounds like magic, but at its core, it is just math. It is about finding patterns in data and using them…
