01

Curriculum

• Algebra
• Probability
• Statistics
• Calculus
• Python basics

1.1

Algebra

• Algebra is a branch of mathematics that deals with symbols and equations. Understanding algebraic concepts like variables, functions, and linear equations is important for working with data in machine learning and data science.

1.2

Probability

• Probability is the study of how likely it is that certain events will occur. Understanding basic probability concepts like independent events, conditional probability, and probability distributions is important for working with data in machine learning and data science.

1.3

Statistics

• Statistics is the study of collecting, analyzing, and interpreting data. Understanding concepts like mean, median, mode, variance, and standard deviation is important for working with data in machine learning and data science.

1.4

Calculus

• Calculus is a branch of mathematics that deals with rates of change and optimization. Understanding calculus can be helpful for understanding some machine learning algorithms, particularly those that involve optimization