BigDataFr recommends: 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)
Random Forest
Xgboost (eXtreme Gradient Boosted Trees) […]

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By Takashi J. OZAKI
Source: analyticbridge.com