Master statistics & machine learning: intuition, math, code
A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.
4.65 (2713 reviews)
30 295
students
38.5 hours
content
Apr 2025
last update
$109.99
regular price
What you will 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
Course Gallery
Charts
Students
Price
Rating & Reviews
Coupons Issued
Enrollment Distribution
Comidoc Review
Our Verdict
Mike's 'Master statistics & machine learning: intuition, math, code' course offers a comprehensive and engaging deep-dive into both theory and practical implementation. While the use of synthetic examples may hinder real-world application understanding, the overall value and quality of this course are well worth exploring for those looking to solidify their foundations in statistics and machine learning.
What We Liked
- Excellent visuals and clear explanations bring statistical concepts to life
- Well-organized course structure with a mix of lectures, coding exercises, and Q&A
- Instructor's soothing voice and humor create an engaging learning experience
- Provides solid foundations in statistics and machine learning theory with code-based exercises
Potential Drawbacks
- Limited real-world data examples for practical implementation
- Some topics may require additional resources for further clarification
- Occasional use of MATLAB can be seen as redundant or distracting by some users
- Course organization could be improved for better consistency in learning
Related Topics
3160664
udemy ID
23/05/2020
course created date
11/07/2020
course indexed date
Bot
course submited by