Advertisements
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
Advertisements

Comments»

No comments yet — be the first.

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 )

Twitter picture

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

Facebook photo

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

Google+ photo

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

Connecting to %s

%d bloggers like this: