https://github.com/ndomah1/learning-probability-and-statistics
This repo is a comprehensive learning resource that covers fundamental to advanced topics in probability and statistics, including probability theory, descriptive and inferential statistics, probability distributions, regression analysis, and data exploration techniques.
https://github.com/ndomah1/learning-probability-and-statistics
correlation-analysis data-analysis descriptive-statistics exploratory-data-analysis hypothesis-testing inferential-statistics probability regression statistics
Last synced: 20 days ago
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This repo is a comprehensive learning resource that covers fundamental to advanced topics in probability and statistics, including probability theory, descriptive and inferential statistics, probability distributions, regression analysis, and data exploration techniques.
- Host: GitHub
- URL: https://github.com/ndomah1/learning-probability-and-statistics
- Owner: ndomah1
- Created: 2025-03-20T23:54:23.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2025-03-20T23:57:11.000Z (about 1 month ago)
- Last Synced: 2025-03-21T00:28:36.255Z (about 1 month ago)
- Topics: correlation-analysis, data-analysis, descriptive-statistics, exploratory-data-analysis, hypothesis-testing, inferential-statistics, probability, regression, statistics
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Learning Probability and Statistics
[1. Fundamentals of Probability](https://github.com/ndomah1/Learning-Probability-and-Statistics/blob/main/subpages/1%20Fundamentals%20of%20Probability%201b99b8d0fd0d80b797dde061322aac1a.md)
- Basics
- Conditional Probability & Bayes’ Theorem
- Discrete vs. Continuous
- Expected Value & Variance
[2. Descriptive Statistics](https://github.com/ndomah1/Learning-Probability-and-Statistics/blob/main/subpages/2%20Descriptive%20Statistics%201b99b8d0fd0d80d5a705d116533c07b7.md)
- Measures of Central Tendency
- Measures of Dispersion
- Skewness & Kurtosis
- Visualization
[3. Inferential Statistics](https://github.com/ndomah1/Learning-Probability-and-Statistics/blob/main/subpages/3%20Inferential%20Statistics%201b99b8d0fd0d80278749da4bf9db2912.md)
- Sampling Techniques & Central Limit Theorem
- Hypothesis Testing
- Confidence Intervals
- t-tests, Chi-square Test, ANOVA
[4. Probability Distributions](https://github.com/ndomah1/Learning-Probability-and-Statistics/blob/main/subpages/4%20Probability%20Distributions%201b99b8d0fd0d807ba197df0936a8113f.md)
- Binomial
- Poisson
- Normal
- Exponential
- PDF vs. CDF
[5. Regression and Correlation Analysis](https://github.com/ndomah1/Learning-Probability-and-Statistics/blob/main/subpages/5%20Regression%20and%20Correlation%20Analysis%201b99b8d0fd0d80409c01daff260b249a.md)
- Simple & Multiple Linear Regression
- Logistic Regression
- Correlation vs. Causation
[6. Exploratory Data Analysis (EDA)](https://github.com/ndomah1/Learning-Probability-and-Statistics/blob/main/subpages/6%20Exploratory%20Data%20Analysis%20(EDA)%201b99b8d0fd0d8091b0adcc0a54c015be.md)
- Missing Values & Outliers
- Feature Engineering & Transformation
- Data Cleaning & Preprocessing
[7. Advanced Topics](https://github.com/ndomah1/Learning-Probability-and-Statistics/blob/main/subpages/7%20Advanced%20Topics%201b99b8d0fd0d801ca06af2a5495e43a0.md)
- Time Series Analysis
- ARIMA
- Bayesian Statistics
- Resampling Techniques
- Monte Carlo Simulation