# Naïve Bayes and Logistic Regression Please accept the [classroom homework invitation](https://classroom.github.com/a/Oa1cmMV1) and review the homework in this [pdf file](https://github.com/kni-neu/homework-5/blob/master/assignment5.pdf). If Github Classrooms does not work for you, you can use [this Github template](https://github.com/kni-neu/homework-5) to start your repository by 1. clicking **Use this template** 2. creating a new repository, and 3. making it visible to **kni-neu**, **nkumeh**, and **pratyaksh64**. ## What You Will Need You will need [this data](./data/titanic), which you can read more about [here](https://www.kaggle.com/competitions/titanic/overview). If you are using Colab (not required), you would need a Google account. ## Starter Kit Here are the starter kits that you might find useful. * Document templates can be either [LaTeX File](https://github.com/kni-neu/homework-5/blob/master/assignment5.tex) or [DOCX File](https://docs.google.com/document/d/1E1QXKcVpGZY8kBjhWRok2a_UIUTO0ER5). When you've compiled/finished writing, **download the PDF** from Overleaf/Google and upload it to your repository. * In order to submit, you'll need to Download the file as a `*.ipynb` file (Under **File** → **Download** → **Download .ipynb**.) ## Submission Instructions Commit your `*.py` or `*.ipynb` (either is fine), and `assignment4.pdf` to that repository and provide the URL via [Gradescope](https://www.gradescope.com/courses/494275).