Share '12 Statistical and Machine Learning Methods that Every Data Scientist Should Know'
Below is my personal list of statistical and machine learning methods that every data scientist should know in 2016.
Statistical Hypothesis Testing (t-test, chi-squared test & ANOVA)
Multiple Regression (Linear Models)
General Linear Models (GLM: Logistic Regression, Poisson Regression)
Xgboost (eXtreme Gradient Boosted Trees)
Bayesian Modeling with MCMC
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