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Master statistics & machine learning: intuition, math, code

Via Udemy

Udemy based on 2,718 ratings

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Overview

A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB. What you'll learn: Descriptive statistics (mean, variance, etc)Inferential statisticsT-tests, correlation, ANOVA, regression, clusteringThe math behind the "black box" statistical methodsHow to implement statistical methods in codeHow to interpret statistics correctly and avoid common misunderstandingsCoding techniques in Python and MATLAB/OctaveMachine learning methods like clustering, predictive analysis, classification, and data cleaning Statistics and probability control your life. I don't just mean What YouTube's algorithm recommends...

Syllabus

  • Introductions
  • Math prerequisites
  • IMPORTANT: Download course materials
  • What are (is?) data?
  • Visualizing data
  • Descriptive statistics
  • Data normalizations and outliers
  • Probability theory
  • Hypothesis testing
  • The t-test family


Master statistics & machine learning: intuition, math, code
Go to Class

via Udemy

14 hours 20 minutes

Certificate Available

English

On-Demand

Beginner

Instructor

Mike X Cohen

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