🤖 Machine Learning Classification with Python and Scikit Learn

Predicting a Category vs Predicting a Number

16 min

A Tour of Real Classification Problems

15 min

Features, Labels, and the Training Data That Teaches the Machine

16 min

What a "Decision Boundary" Is, Drawn in Plain Pictures

17 min

The Train/Test Split, and Why You Never Grade a Student on the Exact Questions They Studied

16 min

K-Nearest Neighbors: You Are the Company You Keep

18 min

Choosing K, Measuring Distance, and the "Curse of Dimensionality"

19 min

Naive Bayes: A Little Probability, and Why "Naive" Is Secretly a Compliment

12 min

Building a Spam Filter with Naive Bayes, Start to Finish

14 min

Logistic Regression: Regression's Cousin That Answers Yes-or-No Questions

19 min

The Sigmoid Curve, Decision Thresholds, and Reading What the Model Learned

15 min

Decision Trees: A Flowchart the Machine Draws for Itself

15 min

How a Tree Decides Where to Split (Gini and Entropy, Without the Scary Math)

14 min

Overfitting, Pruning, and the Tree That Memorized Instead of Learning

19 min

Random Forests: Why a Crowd of Okay Trees Beats One Show-Off Tree

19 min

Bagging and Feature Randomness: The Trick That Keeps the Crowd Diverse

15 min

Feature Importance: Asking the Forest What Actually Mattered

19 min

Gradient Boosting: Learning From Your Last Mistake, One Small Tree at a Time

14 min

XGBoost and LightGBM: Why These Names Show Up on Every Leaderboard

16 min

Tuning a Boosted Model Without Letting It Overfit

18 min

Support Vector Machines: Finding the Widest Street Between Two Classes

13 min

The Kernel Trick: Bending Space to Separate Things a Straight Line Can't

14 min

SVM vs Boosted Trees: When to Reach for Which

15 min

Why Accuracy Lies: Precision, Recall, and the Confusion Matrix

18 min

The Precision vs Recall Tradeoff, and Picking a Threshold on Purpose

14 min

ROC Curves and AUC Explained Without the Textbook Fog 🌫️

15 min

Imbalanced Classes: When 99% Accuracy Actually Means You Failed

15 min

Cross-Validation: Comparing Models Without Fooling Yourself

19 min

A Practical Decision Guide: Which Algorithm for Which Situation

16 min