Quick Summary: This lecture builds an intuitive, geometric view of vectors, matrices, and broadcasting using a concrete “admissions as geometry” ... In this module, we move from describing a single dataset to reasoning about what would happen if we could repeat our study over ...

Csci 1109 M00 Practicalities -

This lecture builds an intuitive, geometric view of vectors, matrices, and broadcasting using a concrete “admissions as geometry” ... In this module, we move from describing a single dataset to reasoning about what would happen if we could repeat our study over ... This lecture is a pandas case study that pulls together everything you've learned so far about working with tabular data in

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  • This lecture builds an intuitive, geometric view of vectors, matrices, and broadcasting using a concrete “admissions as geometry” ...
  • In this module, we move from describing a single dataset to reasoning about what would happen if we could repeat our study over ...
  • This lecture is a pandas case study that pulls together everything you've learned so far about working with tabular data in
  • In this module, we use sampling and bootstrapping in Python to make uncertainty feel concrete rather than abstract.
  • In this module, you'll learn how to turn a messy EDA notebook into a small number of clear, audience-ready visuals.

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CSCI 1109 - M00 - Practicalities
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CSCI 1109 - M11 -  Case study: flights & movies with pandas
CSCI 1109 - M01 - What is Data Science?
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CSCI 1109 - M00 - Practicalities

CSCI 1109 - M00 - Practicalities

Hello everybody uh my name is Frank Ridic um in this video um we're going to uh just lay out some of the

CSCI 1109 - M03 - Warm-ups: variables, types, I/O

CSCI 1109 - M03 - Warm-ups: variables, types, I/O

Read more details and related context about CSCI 1109 - M03 - Warm-ups: variables, types, I/O.

CSCI 1109 - M02 - Python setup: notebooks, VS Code, conda

CSCI 1109 - M02 - Python setup: notebooks, VS Code, conda

Read more details and related context about CSCI 1109 - M02 - Python setup: notebooks, VS Code, conda.

CSCI 1109 - M11 -  Case study: flights & movies with pandas

CSCI 1109 - M11 - Case study: flights & movies with pandas

This lecture is a pandas case study that pulls together everything you've learned so far about working with tabular data in

CSCI 1109 - M01 - What is Data Science?

CSCI 1109 - M01 - What is Data Science?

Read more details and related context about CSCI 1109 - M01 - What is Data Science?.

CSCI 1109 - M19 -  Vectors, matrices, broadcasting; linear ops

CSCI 1109 - M19 - Vectors, matrices, broadcasting; linear ops

This lecture builds an intuitive, geometric view of vectors, matrices, and broadcasting using a concrete “admissions as geometry” ...

CSCI 1109 - M32 - Distributions; CLT intuition; p-values (done right)

CSCI 1109 - M32 - Distributions; CLT intuition; p-values (done right)

In this module, we move from describing a single dataset to reasoning about what would happen if we could repeat our study over ...

CSCI 1109 - M46 - Feature scaling & regularization

CSCI 1109 - M46 - Feature scaling & regularization

Read more details and related context about CSCI 1109 - M46 - Feature scaling & regularization.

CSCI 1109 - M23 - Sampling & bootstrapping in Python

CSCI 1109 - M23 - Sampling & bootstrapping in Python

In this module, we use sampling and bootstrapping in Python to make uncertainty feel concrete rather than abstract. Building on ...

CSCI 1109 - M29 - From EDA to narrative; annotation & layout

CSCI 1109 - M29 - From EDA to narrative; annotation & layout

In this module, you'll learn how to turn a messy EDA notebook into a small number of clear, audience-ready visuals. Starting from ...