My solved DataCamp projects

My Jupyter Notebooks can be found here and here.

Python – DATA MANIPULATION

Predicting Credit Card Approvals: Build a machine learning model to predict if a credit card application will get approved.
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?
The GitHub History of the Scala Language: Find the true Scala experts by exploring its development history in Git and GitHub.
The Android App Market on Google Play: Load, clean, and visualize scraped Google Play Store data to understand the Android app market.
Analyze Your Runkeeper Fitness Data: Import, clean, and analyze seven years worth of training data tracked on the Runkeeper app.
TV, Halftime Shows, and the Big Game: Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows.
Exploring the Bitcoin Cryptocurrency Market: You will explore the market capitalization of Bitcoin and other cryptocurrencies.
Exploring 67 years of LEGO: In this project we will explore a database of every LEGO set ever built.
Dr. Semmelweis and the Discovery of Handwashing: Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.

A Network Analysis of Game of Thrones: Analyze the network of characters in Game of Thrones and how it changes over the course of the books.

Introduction to DataCamp Projects: If you’ve never done a DataCamp project, this is the place to start!