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Machine Learning Foundations — The Math Behind the Models Series' Articles

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Cover image for Naive Bayes Explained: A 20-Patient Flu Diagnosis Example (with Math Derivation)

hqqqqy

Apr 3

Naive Bayes Explained: A 20-Patient Flu Diagnosis Example (with Math Derivation)

#machinelearning #statistics #tutorial #beginners

3 min read

Cover image for Confusion Matrix, Precision, Recall, and F1: A Practical Medical Screening Guide

hqqqqy

Apr 4

Confusion Matrix, Precision, Recall, and F1: A Practical Medical Screening Guide

#machinelearning #tutorial #datascience #beginners

3 min read

Cover image for Machine Learning Data Preprocessing: The Mistakes That Break Models Before Training

hqqqqy

Apr 5

Machine Learning Data Preprocessing: The Mistakes That Break Models Before Training

#machinelearning #python #tutorial #beginners

3 min read

Cover image for Why Feature Scaling Matters: Three Cases Where the Same Data Gives Opposite Results

hqqqqy

Apr 6

Why Feature Scaling Matters: Three Cases Where the Same Data Gives Opposite Results

#machinelearning #python #datascience #tutorial

2 min read

hqqqqy

Apr 7

How to Spot a "Lemon": The Intuitive Logic Behind Decision Trees

#machinelearning #algorithms #datascience

2 min read

Cover image for Entropy and Information Gain in Decision Trees: A Practical Guide

hqqqqy

Apr 8

Entropy and Information Gain in Decision Trees: A Practical Guide

#machinelearning #algorithms #math #tutorial

2 min read

Cover image for Why StandardScaler Broke My kNN Model in Production (And The Fix)

hqqqqy

Apr 9

Why StandardScaler Broke My kNN Model in Production (And The Fix)

#machinelearning #python #beginners #datascience

4 min read