A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.
Instructed by Mike X Cohen 38.5 hours on-demand video, 3 articles & 4 downloadable resource.
What you’ll learn
-
Descriptive statistics (mean, variance, etc)
-
Inferential statistics
-
T-tests, correlation, ANOVA, regression, clustering
-
The math behind the “black box” statistical methods
-
How to implement statistical methods in code
-
How to interpret statistics correctly and avoid common misunderstandings
-
Coding techniques in Python and MATLAB/Octave
-
Machine learning methods like clustering, predictive analysis, classification, and data cleaning
Who this course is for:
- Students taking statistics or machine learning courses
- Professionals who need to learn statistics and machine learning
- Scientists who want to understand their data analyses
- Anyone who wants to see “under the hood” of machine learning
- Artificial intelligence (AI) students
- Business intelligence students
Suggested Courses
Deal Score0
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
