From f8b5f3ecaa57f48167378459825b7a381a7812ce Mon Sep 17 00:00:00 2001
From: haywire153910 <72148595+haywire153910@users.noreply.github.com>
Date: Wed, 15 Jun 2022 18:13:04 +0200
Subject: [PATCH] added requirements file

---
 README.md        | 6 +++---
 requirements.txt | 0
 2 files changed, 3 insertions(+), 3 deletions(-)
 create mode 100644 requirements.txt

diff --git a/README.md b/README.md
index 3a23ed2..ec55695 100644
--- a/README.md
+++ b/README.md
@@ -4,13 +4,13 @@
 
 ## 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.
 
@@ -34,7 +34,7 @@ Score: 84.79%
 
 ## 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.
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..e69de29