# Overview
```{admonition} HW 2
[📚 **HW Available Now**](https://classroom.github.com/a/6USVjsdn)  
Due: **Mon, Feb 10th** (by Midnight)
```

## Weekly Plan: HW Review and Exploratory Data Analysis
```{topic} [📚 Monday Jan 27th (last LAB continued)](https://classroom.github.com/a/H83tmXav)
- Introduction to `seaborn` for statistical visualizations
- EDA with `polars` & `seaborn`
- See Week 3 lab for this week's notebooks
```

```{topic} [📚 Tuesday Jan 28th (LAB)](https://classroom.github.com/a/H83tmXav)

**Note:** *The link above will bring you to assignment repository you cloned in week 2. You should update it like we did yesterday using [these instructions](classroom-updates).*

- [Quick feedback poll](https://docs.google.com/forms/d/e/1FAIpQLSdPnaKV3IsLEGFMbGtUEFqEEem0u6jb8WhpgLF6necyxY6Jeg/viewform)
- [📚 HW 1 review](https://classroom.github.com/a/OUHgtClr)
- HW 2 introduction: [Takagi et al, 2022](https://www.nature.com/articles/s41598-022-10261-5)
```

```{topic} [📚 Wednesday Jan 29th](https://classroom.github.com/a/hyGYbzTg) 
- Summarizing *relationships*
- Intuitions about *similarity*
- Covariance & correlation
```

```{topic} Videos - watch *before* class on Feb 3rd
- [The Essence of Linear Algebra](https://www.3blue1brown.com/topics/linear-algebra) by 3blue1brown. These are bite-sized videos to give you some *high level* intuitions about linear algebra basics, with particularly lovely visuals. If you never formally took any linear algebra (like Eshin), feel math-phobic, or simply need a refresher - this series offers a fresh and fun perspective on about the mathematics that underlies most of the modeling you're likely to do. You don't have watch the full series (unless you want to!), but please check out the following chapters:  
  - [Chap 1: Vectors, what even ar they?](https://www.3blue1brown.com/lessons/vectors) *~10m*
  - [Chap 2: Linear combinations, span, and basis vectors](https://www.3blue1brown.com/lessons/span) *~10m*
  - [Chap 3: Linear transformations and matrices](https://www.3blue1brown.com/lessons/linear-transformations) ~*11m*
  - [Chap 4: Matrix multiplication as composition](https://www.3blue1brown.com/lessons/matrix-multiplication) ~*10m*
  - [Chap 5: Three-dimensional linear transformations](https://www.3blue1brown.com/lessons/3d-transformations) ~*5m*
  - [Chap 7: Inverse matrices, column space, and null space](https://www.3blue1brown.com/lessons/inverse-matrices) ~*12m*