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Machine Learning, Datatypes, Hyper parameter tuning, Bias Variance…
Machine Learning
unsupervised
Reinforced
clustering
dimensionality reduction
Supervised
regression (numerical data)
classification (categorical data)
Basic Concepts
Model Training
Training
Testing
Performance
Benchmark Model
Baseline Model
CRISP DM
Business Understanding
Data Understanding
Data Preparation
Modelling
Evaluation
Deployment
Overfitting
Underfitting
Training Dataset
Test dataset
ML type
Canonical Data Mining Tasks
Datatypes
Numerical
String
Dates
Hyper parameter tuning
Bias Variance Tradeoff
Principal Component Analysis(PCA)