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Master statistics & machine: learning intuition math code, advanced statistics and probability training course and includes complex and in-depth topics in the field of statistics and machine learning. This course also includes training on how to code and create applications using Python and content.
Statistics and probabilities play a very important role in our lives today. This effect is greater than the applications that YouTube algorithms play in providing a list of suggested videos or the possibility of seeing your friends in a coffee shop. Human behavior, single-celled organisms, earthquakes, the stock market, and the weather forecast for the first week of December are all phenomena that statistics and probabilities use to explain.
This course will help you learn how to apply theories of statistics and probability and the level of significance, clustering, Spearman correlation and logistic regression using Python and content.
Descriptive statistics including mean and variance and ..
Tests, T-correlation, ANOVA univariate analysis, regression and clustering
Basic mathematics required for statistical methods based on the black box
How to program for statistical methods
Interpret statistical results and avoid misinterpretation
Coding techniques in Python and MATLAB / Octave
Machine learning methods include clustering, predictive analysis, classification and data cleansing
Publisher:: Udemy Instructor: Mike X Cohen Duration: 35h 50m Number of lessons: 210 lessons English language
Good work ethic and motivation to learn. Previous background in statistics or machine learning is not necessary. Python -OR- MATLAB with the Statistics toolbox (or Octave). Some coding familiarity for the optional code exercises. No textbooks necessary! All materials are provided inside the course.
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English subtitle
Quality: 720p
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