{"id":20438987,"url":"https://github.com/faizantkhan/math-for-data-science","last_synced_at":"2026-04-21T13:31:50.519Z","repository":{"id":227136674,"uuid":"770566145","full_name":"FAIZANTKHAN/Math-For-Data-Science","owner":"FAIZANTKHAN","description":"Math for Data Science Exercises Explore the mathematical foundations of data science with this repository of exercises. 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This comprehensive collection of mathematical concepts is curated to empower data scientists with a strong foundation in mathematical principles essential for effective data analysis and interpretation.\n\nTable of Contents\nDescriptive Statistics\n\nMean, Median, Mode\nPercentile\nStandard Deviation\nMean Absolute Deviation\nProbability and Distribution\n\nNormal Distribution\nZ Score\nLogarithm and Log-Normal Distribution\nTrigonometry\n\nBasic Trigonometric Functions\nAngles and Degrees\nTrigonometric Identities\nHypothesis Testing\n\nIntroduction to Hypothesis Testing\nStatistical Significance\np-values\nAdvanced Statistics\n\nModified Z Score\nAdvanced Probability Concepts\nCentral Limit Theorem\nAdditional Topics\n\nMatrix Operations\nCalculus Basics for Data Science\nLinear Algebra for Machine Learning\nHow to Use This Repository\nEach topic is organized into its respective directory, containing Jupyter Notebooks, Python scripts, or R code, along with explanatory documentation. Explore the directories to find detailed explanations, code examples, and practical applications.\n\nGetting Started\nTo get started with this repository, follow these steps:\n\nClone the Repository:\n\nbash\nCopy code\ngit clone https://github.com/your-username/math-for-data-science.git\nNavigate to a Topic:\nBrowse through the directories to find the specific mathematical concept you want to explore.\n\nOpen Jupyter Notebooks:\nOpen the Jupyter Notebooks or Python scripts to interact with the code and learn through practical examples.\n\nContributions\nContributions to this repository are highly encouraged. If you have additional topics, improvements, or corrections, please feel free to submit a pull request. Let's collaborate and make this resource even more valuable for the data science community!\n\nSupport\nIf you have any questions, issues, or suggestions, please open an issue on the repository. We welcome feedback and are here to assist you.\n\nHappy learning! 📊✨\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffaizantkhan%2Fmath-for-data-science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffaizantkhan%2Fmath-for-data-science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffaizantkhan%2Fmath-for-data-science/lists"}