مشروع تحليل بيانات تشخيصي: تقرير بوربوينت مكون من 46 صفحة

Executive Summary

In this project will we try to predict if the Falcon 9 first stage will land successfully using different

machine learning classification algorithm

•We used following steps for the project

1.Data Collection & wrangling

2. EDA

3.Data Visualization

4.Machine learning

•In data Visualization some features have correlation with the outcome of the launches.

In Machine learning we performed for decision tree, K- Nearest Neighbor, SVM, Logistic

regression

Introduction

•We will predict if the falcon 9 first stage will land

successfully, The main mission here to reuse the rockets and

save partial cost for each launch therefore the first stage launch is

important.

•Most of unsuccessful landing are planned •predicting whether the first

stage of a Falcon9 rocket

will and successfully given features such as payload mass, orbit type, launch

site, etc.—the task can be reframed as a binary classification problem in

machine learning