SophiaY404 / Datacamp-projects

Python projects from Datacamp, includes Jupyter notebooks and datasets

DataCamp Python Projects

This repository contains the projects completed and downloaded from DataCamp. Each project includes a dataset folder, that has been checked to have valid data, and a Jupyter notebook. Some projects also include an HTML file exported from the Jupyter notebook, in order to capture the visualizations and graphs. Below is a summary table of the projects, sorted by core skill:

Data Manipulation & Visualization

Project	Core Skill(s)	Description
Bad Passwords and the NIST Guidelines	Data manipulation	Check what passwords fail to conform to the National Institute of Standards and Technology's password guidelines.
Exploring the History of Lego	Data manipulation	Explore a database of every LEGO set ever built.
Exploring the Evolution of Linux	Data manipulation	Find out about the development of the Linux operating system by exploring its Git repository history.
Generating Keywords for Google Ads	Data manipulation	Automatically generate keywords for a search engine marketing campaign using Python.
A Visual History of Nobel Prize Winners	Data manipulation & visualization	Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
Analyze your Runkeeper Fitness Data	Data manipulation & visualization	Import, clean, and analyze 7 years worth of training data tracked on the Runkeeper app.
Dr. Semmelweis and the Discovery of Handwashing	Data manipulation & visualization	Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.
Exploring the Bitcoin Cryptocurrency Market	Data manipulation & visualization	Explore the market capitalization of Bitcoin and other cryptocurrencies.
Name Game: Gender Prediction using Sound	Data manipulation & visualization	Analyze the gender distribution of children's book writers and use sound to match names to gender.
Real-time Insights from Social Media Data	Data manipulation & visualization	Analyze Twitter data and do a deep dive into a hot trend.
Recreating John Snow's Ghost Map	Data manipulation & visualization	Recreate John Snow's famous map of the 1854 cholera outbreak in London.
The Android App Market on Google Play	Data manipulation & visualization	Load, clean, and visualize scraped Google Play Store data to understand the Android app market.
The GitHub History of the Scala Language	Data manipulation & visualization	Find the true Scala experts by exploring its development history in Git and GitHub.
TV, Halftime Shows, and the Big Game	Data manipulation & visualization	Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows.
Up and Down with the Kardashians	Data manipulation & visualization	Plot Google Trends data to find the most famous Kardashian/Jenner sister. Is it Kim? Kendall? Kylie?
Who is Drunk and When in Ames, Iowa?	Data manipulation & visualization	Flex your pandas muscles on breath alcohol test data from Ames, Iowa, USA.
Which Debts are Worth the Bank's Effort?	Data manipulation & visualization Statistics	Play bank data scientist and use regression discontinuity to see which debts are worth collecting.
Disney Movies and Box Office Success	Data manipulation & visualization Statistics (Linear regression)	Explore Disney movie data, then build a linear regression model to predict box office success.
Risk and Returns: The Sharpe Ratio	Data manipulation & visualization Statistics	Use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio.

Machine & Deep Learning

Project	Core Skill(s)	Description
Predicting Credit Card Approvals	Machine learning	Build a machine learning model to predict if a credit card application will get approved.
Who's Tweeting? Trump or Trudeau?	Machine learning	Build a machine learning classifier that knows whether President Trump or Prime Minister Trudeau is tweeting!
Reducing Traffic Mortality in the USA	Machine learning (Clustering) Data manipulation & visualization	How can we find a good strategy for reducing traffic-related deaths?
Classify Song Genres from Audio Data	Machine learning (Decision tree) Statistics	Rock or rap? Apply machine learning methods in Python to classify songs into genres.
Naïve Bees: Predict Species from Images	Machine learning (SVM)	Build a model that can automatically detect honey bees and bumble bees in images and determine the accuracy of the model.
Give Life: Predict Blood Donations	Machine learning (TPOT) Statistics	Build a binary classifier to predict if a blood donor is likely to donate again.
Compare Cosmetics by Ingredients	Machine learning (t-SNE) Data visualization (Bokeh)	Process ingredient lists for cosmetics on Sephora then visualize similarity using t-SNE and Bokeh.
ASL Recognition with Deep Learning	Deep learning (CNN)	Build a convolutional neural network to classify images of letters from American Sign Language.
Naïve Bees: Deep Learning with Images	Deep learning (Keras)	Build a deep learning model that can automatically detect honey bees and bumble bees in images and determine the loss and accuracy metrics.

Other Skill Categories

Project	Core Skill(s)	Description
Mobile Games A/B Testing with Cookie Cats	A/B testing	Analyze an A/B test from the popular mobile puzzle game, Cookie Cats.
Naïve Bees: Image Loading and Processing	Image processing	Load, transform, and understand images of honey bees and bumble bees in Python.
A Network Analysis of Game of Thrones	Network analysis	Analyze the network of characters in Game of Thrones and how it changes over the course of the books.
Book Recommendations from Charles Darwin	NLP	Build a book recommendation system using NLP and the text of books like "On the Origin of Species."
Word Frequency in Moby Dick	NLP Web scraping	Use web scraping and NLP to find the most frequent words in Herman Melville's novel, Moby Dick.
Do Left-handed People Really Die Young?	Statistics (Bayes)	Use pandas and Bayesian statistics to see if left-handed people actually die earlier than righties.