Applied Data Science Capstone project

Challenge:

A company named Space Y asked us to:

1.determine the price of each launch

2.gather public information about Space X and

3.create dashboards for the team train a machine learning model to predict successful Stage 1 recovery.

This repository contains completed notebooks and python files for the capstone project : IBM Data Science Professional Certification.

Week 1

Capstone Introduction and Understanding the Datasets

Collecting the Data:

Data Wrangling:

Week 2

Exploratory Analysis Using SQL

Exploratory Analysis Using Pandas and Matplotlib

Week 3

Interactive Visual Analytics and Dashboard

Week 4

Predictive Analysis (Classification)

Week 5

Final Presentation

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Applied Data Science Capstone presentation.pdf		Applied Data Science Capstone presentation.pdf
Data wrangling.ipynb		Data wrangling.ipynb
EDA with python.ipynb		EDA with python.ipynb
EDA with sql.ipynb		EDA with sql.ipynb
Launch site location with folium.ipynb		Launch site location with folium.ipynb
Machine Learning Prediction.ipynb		Machine Learning Prediction.ipynb
README.md		README.md
Spacex Webscraping.ipynb		Spacex Webscraping.ipynb
Spacex data collection api.ipynb		Spacex data collection api.ipynb
spacex_dash_app.py		spacex_dash_app.py

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