jump to navigation

Data Science: 10+2 Data Science Methods that Every Data Scientist Should Know March 15, 2017

Posted by OromianEconomist in 10 best Youtube videos.
Tags: , ,
trackback

12 Statistical and Machine Learning Methods that Every Data Scientist Should Know

 

  1. Statistical Hypothesis Testing (t-test, chi-squared test & ANOVA)
  2. Multiple Regression (Linear Models)
  3. General Linear Models (GLM: Logistic Regression, Poisson Regression)
  4. Random Forest
  5. Xgboost (eXtreme Gradient Boosted Trees)
  6. Deep Learning
  7. Bayesian Modeling with MCMC
  8. word2vec
  9. K-means Clustering
  10. Graph Theory & Network Analysis

Leave a Reply

Please log in using one of these methods to post your comment:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.

%d bloggers like this: