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We need to perform (at least a little) EDA so we can train a decently performant model.
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Goal: Gather real-world data and conduct EDA to understand the dataset.
The most important subgoals here are:
- [ ] Definition of the data (which data from which time)
- [ ] Getting the data vi…
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Title
Summary - Albert
Introduction - Stephanie
provide some relevant background information on the topic so that someone unfamiliar with it will be prepared to understand the rest of your report
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Related to #10 . For all patients identified via PLUNC from 2016 forward, provide patient counts by the following variables:
1. Risk Category: SR – Standard risk vs HR – High risk
2. Physician
3. …
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import seaborn as sns
import pandas as pd
def perform_eda(data):
sns.pairplot(data)
plt.show()
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A comprehensive guide for conducting EDA on sports-related datasets. It aims to equip users with the skills necessary to uncover insights and patterns from raw data, leveraging various statistical and…
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Milestone 2: Selection of data set(s), exploratory data analysis (soft deadline 28.10, firm deadline 04.11)
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