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subject · Data Scientist

Machine Learning

Machine Learning for Data Scientist on CareerPlane — 6 practical, sandbox-driven topics. Pick a topic to open its interactive lesson.

6 / topics
in the subject
6 / pages
topic pages
L1–L2 / priority
core fundamentals

Topics in Machine Learning

06 topics · 06 pages
TOPIC · 01

Regression Analysis — Linear & Logistic Regression

priority 1 Professional machine-learningregressionlinearlogisticpredictionscikit-learn
TOPIC · 02

Classification Algorithms & Model Evaluation Metrics

priority 1 Professional machine-learningclassificationdecision-treerandom-forestaccuracyprecisionrecallf1
TOPIC · 03

Feature Engineering & Selection Techniques

priority 1 Professional machine-learningfeature-engineeringencodingscalingimputationselection
TOPIC · 04

Clustering & Unsupervised Learning (K-Means / DBSCAN / Hierarchical)

priority 1 Professional machine-learningclusteringk-meansdbscanunsupervisedsegmentation
TOPIC · 05

XGBoost & Gradient Boosting (Ensemble Methods)

priority 1 Professional machine-learningxgboostgradient-boostingensemblehyperparameter-tuning
TOPIC · 06

Model Explainability — SHAP & LIME for Interpretable AI

priority 2 Professional machine-learningshaplimeexplainabilityinterpretable-aifairness
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