hqqqqy

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Joined on Mar 2, 2026

hqqqqy

Apr 13

The Preprocessing Checklist I Wish I Had on My First ML Project

#machinelearning #python #tutorial #datascience

5 min read

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hqqqqy

Apr 12

Why Accuracy Keeps Lying to You in Imbalanced Classification

#machinelearning #python #datascience #beginners

4 min read

hqqqqy

Apr 10

5 Naive Bayes Mistakes That Break Small Medical Datasets

#machinelearning #python #datascience #beginners

4 min read

hqqqqy

Apr 9

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

#machinelearning #python #beginners #datascience

4 min read

hqqqqy

Apr 8

Entropy and Information Gain in Decision Trees: A Practical Guide

#machinelearning #algorithms #math #tutorial

2 min read

hqqqqy

Apr 7

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

#machinelearning #algorithms #datascience

2 min read

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 5

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

#machinelearning #python #tutorial #beginners

3 min read

hqqqqy

Apr 4

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

#machinelearning #tutorial #datascience #beginners

3 min read

hqqqqy

Apr 3

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

#machinelearning #statistics #tutorial #beginners

3 min read

hqqqqy

Mar 2

The Same Data, Opposite Predictions: 3 Data Normalization Crash Scenarios

#beginners #data #datascience #machinelearning

3 min read

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The Preprocessing Checklist I Wish I Had on My First ML Project

Want to connect with hqqqqy?

Why Accuracy Keeps Lying to You in Imbalanced Classification

5 Naive Bayes Mistakes That Break Small Medical Datasets

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

Entropy and Information Gain in Decision Trees: A Practical Guide

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

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

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

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

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

The Same Data, Opposite Predictions: 3 Data Normalization Crash Scenarios