Calculus for Data Science - Mathematics For Data Science | Lecture Notes - YNetStudyHub
Mathematics For Data Science

Calculus for Data Science

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Studying differentiation, integration, and their applications in optimization problems, gradient descent, and curve fitting. Understanding the role of calculus in analyzing data trends and patterns.

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Unit Syllabus 27 Topics
1
Introduction to Algebra
Descriptive Statistics
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Probability Theory
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Linear Algebra for Data Science
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Calculus for Data Science
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Statistical Inference
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Data Visualization
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Machine Learning Fundamentals
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Time Series Analysis
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Introduction to Linear Algebra
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Eigenvalues and Eigenvectors
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Singular Value Decomposition (SVD)
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Linear Regression
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Optimization Techniques for Data Science
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Probability and Statistics for Data Science
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Bayesian Statistics
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Principal Component Analysis (PCA)
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Clustering Algorithms
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Neural Networks Basics
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Introduction to Linear Algebra
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Descriptive Statistics
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Probability Theory
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Calculus for Data Science
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Hypothesis Testing
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Regression Analysis
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Data Visualization
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Machine Learning Foundations
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