1. Project Definition & Introduction When someone opens a restaurant, their focus is likely on making high-quality food that will make their customers happy. However, this does not cover all the problems they encounter. How do they effectively schedule the staff? How do they know the quantity of ingredients to order? If restaurants cannot solve these problems, their business will be hurt.
If restaurants can predict how many visitors will be in one day, it’s easier for them to make the arrangement.
Summary The Business Problem Borussia Dortmund is one of the top teams in German Soccer League. But in some of the past seasons they have had inconsistent performances. Our objective is to help the team stay consistent with their performance and win the German League.
Our analysis is directed to help the coach of Borussia Dortmund take strategic decisions and make sure that team becomes the champion in the next season.
In this post, I will apply decision tree, k-NN, SVM to predict the evaluation of the cars based on their characteristics. Dataset is from UCI ML Repository.
More specifically, I will explore how well these techniques perform for several different parameter values.
Present a brief overview of the predictive modeling process, explorations, and discuss my results. Then I will present the final model and discuss its performance in a comprehensive manner (overall accuracy; per-class performance, i.
