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added requirements file
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haywire153910 committed Jun 15, 2022
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6 changes: 3 additions & 3 deletions README.md
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## Business Problem

The goal of the project is to build a model to help University predict whether the students who are likely to attrite from the Univerisity. However the dataset could be used to build a model to predict student retention by switching the target variable in the dataset.
The goal of the project is to build a model to help a university predict which of its students are likely to attrite from the Univerisity. However, the dataset could be used to build a model to predict student retention by switching the target variable in the dataset.

## Methods

Exploratory Data Analysis

Data Visualisation ; determine relationships between independent variables (linear and non-linear relationships)
Data Visualisation: determine relationships between independent variables (linear and non-linear relationships)

Aggregating Majors into custom 'Departments' to narrow down the independent variables, easiuer to deal with the categorical variable and notice their effect.

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## Lessons and Reccommendations

Hypertuning is essential to improving accuracy and
Hypertuning is essential to improving accuracy.

Second term performance appears to bear the most weight on a students' decision to leave or stay at the univerisity.
DIstance from home is the second most relevant factor in a student leaving the Univerity.
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