This course provides essential mathematical concepts that form the backbone of data science and machine learning. Key topics include:

  • Statistics 📊
    Descriptive and inferential statistics, probability distributions, hypothesis testing

    Statistical_Analysis
  • Linear Algebra 📐
    Vectors, matrices, eigenvalues, and their applications in data transformations

    Linear_Algebra
  • Probability Theory 📖
    Conditional probability, Bayesian inference, and random variables

    Probability_Theory
  • Calculus 📐
    Derivatives, integrals, and optimization techniques for machine learning models

    Calculus

For deeper exploration, check out our Machine Learning Algorithms course to see how these math concepts apply in practice! 🚀

Data_Science