DataCamp is an online learning platfrom with interactive courses, practices, and projects. The projects require fluent programming skills, including Python or R, to complete data analysis. This is a repository for my solutions to DataCamp projects.
| Project Name | Description |
|---|---|
A Visual History of Nobel Prize Winners |
Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed? |
Analyzing TV Data |
Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows. |
Dr. Semmelweis and the Discovery of Handwashing |
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing. |
Predicting Credit Card Approvals |
Build a machine learning model to predict if a credit card application will get approved. |
The Android App Market on Google Play |
Load, clean, and visualize scraped Google Play Store data to understand the Android app market. |
The GitHub History of the Scala Language |
Find the true Scala experts by exploring its development history in Git and GitHub. |
| Project Name | Description |
|---|---|
Predict Taxi Fares with Random Forests |
Use regression trees and random forests to find places where New York taxi drivers earn the most. |
Reducing Traffic Mortality in the USA |
How can we find a good strategy for reducing traffic-related deaths? |
| Project | Description |
|---|---|
Analyze International Debt Statistics |
Write SQL queries to answer interesting questions about international debt using data from The World Bank. |
What and Where Are the World's Oldest Businesses? |
Use SQL data manipulation and joins to discover the oldest businesses around the world. |