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Machine Learning and Data Science
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Module 1
Essential Algebra for Data and Models
1
Evaluating Numerical Expressions Using Order of Operations
Evaluate numerical expressions using the order of operations.
Evaluate numerical expressions using the order of operations.
2
Simplifying Expressions with Exponents and Roots
Apply exponent and root rules to simplify numerical expressions.
Apply exponent and root rules to simplify numerical expressions.
3
Combining Like Terms in Algebraic Expressions
Simplify algebraic expressions by combining like terms.
Simplify algebraic expressions by combining like terms.
4
Solving One-Variable Linear Equations
Solve a one-variable linear equation.
Solve a one-variable linear equation.
5
Rearranging Formulas to Isolate a Variable
Rearrange a formula to isolate a specified variable.
Rearrange a formula to isolate a specified variable.
6
Solving One-Variable Linear Inequalities
Solve a one-variable linear inequality.
Solve a one-variable linear inequality.
7
Evaluating Finite Sums in Sigma Notation
Evaluate a finite sum written with sigma notation.
Evaluate a finite sum written with sigma notation.
8
Translating Algebraic Expressions into Python Code
Translate an algebraic expression into equivalent Python code.
Translate an algebraic expression into equivalent Python code.
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