The pre-requisite topics that you should understand before you get started Data science and Machine Learning.

Mathematics:-

- covering differential calculus,
- integral calculus,
- matrices and linear algebra,
- set theory,
- differential equations,
- complex numbers,
- sequences and series,
- logic and proofs,
- multivariate calculus,
- convergence of sequences and functions,
- and partial differential equations.

Statistics:-

- covering exploratory data analysis,
- elementary probability,
- univariate random variables,
- bi-variate random variables,
- generating functions,
- statistical estimation theory,
- hypothesis testing and confidence intervals,
- and simple linear regression.

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