IEMS 301: Introduction to Statistical Learning VIEW ALL COURSE TIMES AND SESSIONS Prerequisites A prior course in statistics at the level of IEMS 304; A course in matrix analysis; Proficiency in ...

An introduction to descriptive statistics, graphing and data analysis, probability laws, discrete and continuous probability distributions, correlation and regression, inferential statistics. No ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

Open education company Lumen Learning has announced a new initiative aimed at creating and implementing equitable course materials that will boost student success. The project will begin with the ...

Specialization: Bayesian Statistics for Data Science Instructor: Brian Zaharatos Prior knowledge needed: Statistics View on Coursera Learning Outcomes Articulate the primary interpretations of ...