{"id":27048944,"url":"https://github.com/ndomah1/learning-probability-and-statistics","last_synced_at":"2026-01-18T18:33:24.524Z","repository":{"id":283575632,"uuid":"952225756","full_name":"ndomah1/Learning-Probability-and-Statistics","owner":"ndomah1","description":"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.","archived":false,"fork":false,"pushed_at":"2025-03-20T23:57:11.000Z","size":442,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-05T07:17:27.618Z","etag":null,"topics":["correlation-analysis","data-analysis","descriptive-statistics","exploratory-data-analysis","hypothesis-testing","inferential-statistics","probability","regression","statistics"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ndomah1.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-03-20T23:54:23.000Z","updated_at":"2025-03-20T23:57:15.000Z","dependencies_parsed_at":"2025-03-21T17:02:33.123Z","dependency_job_id":null,"html_url":"https://github.com/ndomah1/Learning-Probability-and-Statistics","commit_stats":null,"previous_names":["ndomah1/learning-probability-and-statistics"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ndomah1/Learning-Probability-and-Statistics","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ndomah1%2FLearning-Probability-and-Statistics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ndomah1%2FLearning-Probability-and-Statistics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ndomah1%2FLearning-Probability-and-Statistics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ndomah1%2FLearning-Probability-and-Statistics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ndomah1","download_url":"https://codeload.github.com/ndomah1/Learning-Probability-and-Statistics/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ndomah1%2FLearning-Probability-and-Statistics/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28547269,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-18T14:59:57.589Z","status":"ssl_error","status_checked_at":"2026-01-18T14:59:46.540Z","response_time":98,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["correlation-analysis","data-analysis","descriptive-statistics","exploratory-data-analysis","hypothesis-testing","inferential-statistics","probability","regression","statistics"],"created_at":"2025-04-05T07:17:30.720Z","updated_at":"2026-01-18T18:33:24.510Z","avatar_url":"https://github.com/ndomah1.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Learning Probability and Statistics\n\n[1. Fundamentals of Probability](https://github.com/ndomah1/Learning-Probability-and-Statistics/blob/main/subpages/1%20Fundamentals%20of%20Probability%201b99b8d0fd0d80b797dde061322aac1a.md)\n\n- Basics\n- Conditional Probability \u0026 Bayes’ Theorem\n- Discrete vs. Continuous\n- Expected Value \u0026 Variance\n\n[2. Descriptive Statistics](https://github.com/ndomah1/Learning-Probability-and-Statistics/blob/main/subpages/2%20Descriptive%20Statistics%201b99b8d0fd0d80d5a705d116533c07b7.md)\n\n- Measures of Central Tendency\n- Measures of Dispersion\n- Skewness \u0026 Kurtosis\n- Visualization\n\n[3. Inferential Statistics](https://github.com/ndomah1/Learning-Probability-and-Statistics/blob/main/subpages/3%20Inferential%20Statistics%201b99b8d0fd0d80278749da4bf9db2912.md)\n\n- Sampling Techniques \u0026 Central Limit Theorem\n- Hypothesis Testing\n- Confidence Intervals\n- t-tests, Chi-square Test, ANOVA\n\n[4. Probability Distributions](https://github.com/ndomah1/Learning-Probability-and-Statistics/blob/main/subpages/4%20Probability%20Distributions%201b99b8d0fd0d807ba197df0936a8113f.md)\n\n- Binomial\n- Poisson\n- Normal\n- Exponential\n- PDF vs. CDF\n\n[5. Regression and Correlation Analysis](https://github.com/ndomah1/Learning-Probability-and-Statistics/blob/main/subpages/5%20Regression%20and%20Correlation%20Analysis%201b99b8d0fd0d80409c01daff260b249a.md)\n\n- Simple \u0026 Multiple Linear Regression\n- Logistic Regression\n- Correlation vs. Causation\n\n[6. Exploratory Data Analysis (EDA)](https://github.com/ndomah1/Learning-Probability-and-Statistics/blob/main/subpages/6%20Exploratory%20Data%20Analysis%20(EDA)%201b99b8d0fd0d8091b0adcc0a54c015be.md)\n\n- Missing Values \u0026 Outliers\n- Feature Engineering \u0026 Transformation\n- Data Cleaning \u0026 Preprocessing\n\n[7. Advanced Topics](https://github.com/ndomah1/Learning-Probability-and-Statistics/blob/main/subpages/7%20Advanced%20Topics%201b99b8d0fd0d801ca06af2a5495e43a0.md)\n\n- Time Series Analysis\n- ARIMA\n- Bayesian Statistics\n- Resampling Techniques\n- Monte Carlo Simulation\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fndomah1%2Flearning-probability-and-statistics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fndomah1%2Flearning-probability-and-statistics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fndomah1%2Flearning-probability-and-statistics/lists"}