damiantellez/spacex_falcon9launches

Case study. Using web scraping and SpaceX API we collect information about Falcon 9 launches in order to determine the keys to recover the rocket's first stage successfully.

Analyzing SpaceX Falcon 9 launches

A case study lab corresponding to IBM Data Science Specialization powered by SkillsNetwork.

Finding the keys for successful launches.

Summary:

In order to find what makes a successful launch more likely to happen we break up the study into smaller logic tasks.

1. Data Collection

   a. Using SpaceX API

   b. Web scraping from Wikipedia 'List of Falcon 9 and Heavy launches'.

2. Data Wrangling

3. Exploratory Data Analysis (EDA)

   a. Data Visualization.

   b. Using queries in the database.

4. Basic Folium Visualizations

5. Machine Learning Model

Perform exploratory Data Analysis and determine Training Labels

• Standardize the data.
• Split into training data and test data
• Find the best Hyperparameter for SVM, CLassification Trees, and Logistic Regression.
• Find the method that performs best using test data.