https://github.com/abdoelabassi/statistics_for_ml

Probability & Statistics for Machine Learning & Data Science
https://github.com/abdoelabassi/statistics_for_ml

a-b-testing bayesian-inference hypothesis-testing maximum-likelihood-estimation probability python statistics

Last synced: about 1 month ago
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Probability & Statistics for Machine Learning & Data Science

• Host: GitHub
• URL: https://github.com/abdoelabassi/statistics_for_ml
• Owner: Abdoelabassi
• Created: 2024-01-02T16:07:14.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-20T13:57:03.000Z (over 2 years ago)
• Last Synced: 2025-08-27T05:20:16.518Z (10 months ago)
• Topics: a-b-testing, bayesian-inference, hypothesis-testing, maximum-likelihood-estimation, probability, python, statistics
• Language: Jupyter Notebook
• Homepage:
• Size: 46.6 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Probability & Statistics for Machine Learning & Data Science

An online non-credit course authorized by DeepLearningAI and offered through Cursera

# Contents



Describe and quantify the uncertainty inherent in predictions made by machine learning models

Apply common statistical methods like maximum likelihood estimation (MLE) and maximum a priori estimation (MAP) to machine learning problems

Visually and intuitively understand the properties of commonly used probability distributions in machine learning and data science

Assess the performance of machine learning models using interval estimates and margin of errors