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Foundation Course

Statistics and Mathematics for Machine Learning

Build essential mathematical foundations for machine learning success. Master linear algebra, calculus, probability theory, and statistical inference through practical applications. From basic vector operations to advanced optimization techniques, develop the mathematical intuition needed for ML algorithms.

Linear Algebra & Calculus
Probability & Statistics
Regression & Correlation
Statistical Learning Theory

This comprehensive course bridges the gap between basic mathematics and machine learning applications. Through hands-on projects and real-world case studies, you'll gain the mathematical confidence needed to excel in advanced ML topics.

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IN +91
Statistics and Mathematics in Machine Learning Course

Course Overview

Key Features

  • Comprehensive 10-Lesson Structure from basics to advanced concepts
  • Progressive Learning Path building from linear algebra to statistical learning theory
  • Real Dataset Applications in every lesson
  • Hands-on Python Implementation with mathematical libraries
  • Visual Learning Approach with graphs, plots, and mathematical visualizations
  • Complete Capstone Project with EDA, statistical reporting, and model building

Skills You'll Master

  • Linear Algebra Mastery: Vectors, matrices, eigenvalues, eigenvectors, and PCA applications
  • Calculus & Optimization: Derivatives, gradients, gradient descent, and backpropagation fundamentals
  • Probability Theory: Random variables, Bayes' theorem, and statistical distributions (Normal, Bernoulli, Poisson)
  • Statistical Analysis: Hypothesis testing, confidence intervals, p-values, and correlation vs causation
  • Regression Techniques: Simple and multiple regression, residuals, and goodness-of-fit measures
  • Machine Learning Theory: Bias-variance tradeoff, regularization (L1/L2), and cross-validation methods

Curriculum Details

Eligibility:
Basic high school mathematics (algebra, trigonometry)
Prerequisites:
Understanding of functions and basic mathematical operations
Duration:
10 comprehensive lessons + capstone project