(editing) Data Science Interview Prep - SQL
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(editing) Data Science Interview Prep - ML Basic
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(editing) Data Science Interview Prep - LLM/AI
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(editing) Data Science Interview Prep - DL
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Day49 ML Review - Data Preprocessing (3)
Partitioning a Dataset into Training & Test Datasets, Feature Scaling, and Feature Selection
Day48 ML Review - Data Preprocessing (2)
Handling Categorical Data - Converting, Ordinal Encoding, and One-Hot Encoding
Day47 ML Review - Data Preprocessing (1)
Handling Missing Data - Eliminating and Imputing & Estimators API
Day46 ML Review - K-Nearest Neighbors (3)
The Curse of Dimensionality
Day45 ML Review - K-Nearest Neighbors (2)
Distance Metrics- Euclidean, Manhattan, Minkowski & Chebyshev Distance, and Cosine Similarity
Day44 ML Review - K-Nearest Neighbors (1)
Basic Concepts, How It Works, and Parametric & Non-Parametric Model