🤖ML Algorithm Mnemonics
Master Machine Learning Algorithms
Learn through memorable frameworks and characters that make complex concepts stick in your mind forever
📚 Mnemonic Frameworks
Memorize algorithms with these powerful memory techniques
🎯 RCCA Framework
"Really Cool Computer Algorithms"
R
Regression
Predicting continuous values
C
Classification
Categorizing data
C
Clustering
Finding groups
A
Anomaly Detection
Finding outliers
📈 Regression: LRXS
"Large Robots eXplore Space"
L
Linear Regression
Simple Sam
R
Random Forest
Robust Robert
X
XGBoost
eXtreme Xavier
S
SVM
Steady Steve
🎯 Classification: LRSN
"Let's Really Study Now"
L
Logistic Regression
Logical Lisa
R
Random Forest
Robust Robert
S
SVM
Steady Steve
N
Naive Bayes
Naive Nancy
👥 The ML Avengers
Meet the characters that make algorithms memorable
🤖
Simple Sam
Linear Regression
"I keep it simple and straight to the point!"
Simple and straightforward
🌳
Robust Robert
Random Forest
"I'm strong like a forest, handling any data!"
Strong and versatile
⚡
eXtreme Xavier
XGBoost
"I boost performance to extreme levels!"
High-performance and powerful
🛡️
Steady Steve
SVM
"I find the perfect boundary, steady and strong!"
Methodical and precise
🧠
Logical Lisa
Logistic Regression
"I think logically about probabilities!"
Analytical and probability-focused
🌸
Naive Nancy
Naive Bayes
"I'm naive but surprisingly effective!"
Simple assumptions, great results
🎯
Clustering Clara
K-Means
"I bring similar things together!"
Organizes and groups data
🔍
Detective Dan
Isolation Forest
"I spot the odd ones out!"
Finds anomalies and outliers
🔍 WISP Decision Framework
A systematic approach to choosing the right algorithm
"What Input Size Performance"
Four key questions to guide your algorithm selection
W
What
What type of problem?
I
Input
What kind of data?
S
Size
How much data?
P
Performance
Speed vs accuracy?