/DataCamp-Projects

Notebooks of Datacamp projects

Primary LanguageJupyter Notebook

DataCamp Projects

My notebooks to Datacamp projects.

Python

Project Description
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.
A New Era of Data Analysis in Baseball Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
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?
ASL Recognition with Deep Learning Build a convolutional neural network to classify images of letters from American Sign Language.
Analyze Your Runkeeper Fitness Data Import, clean, and analyze seven years worth of training data tracked on the Runkeeper app.
Bad passwords and the NIST guidelines Check what passwords fail to conform to the National Institute of Standards and Technology password guidelines
Book Recommendations from Charles Darwin Build a book recommendation system using NLP and the text of books like "On the Origin of Species."
Classify Song Genres from Audio Data Rock or rap? Apply machine learning methods in Python to classify songs into genres.
Comparing Cosmetics by Ingredients Process ingredient lists for cosmetics on Sephora then visualize similarity using t-SNE and Bokeh.
Disney Movies and Box Office Success Explore Disney movie data, then build a linear regression model to predict box office success.
Do Left-handed People Really Die Young? Use pandas and Bayesian statistics to see if left-handed people actually die earlier than righties.
Dr. Semmelweis and the discovery of handwashing Reanalyse the data behind one of the most important discoveries of modern medicine: Handwashing.
Exploring 67 years of LEGO In this project we will explore a database of every LEGO set ever built.
Exploring the Bitcoin cryptocurrency market You will explore the market capitalization of Bitcoin and other cryptocurrencies.
Exploring the evolution of Linux Find out about the development of the Linux operating system by exploring its Git repository history.
Find Movie Similarity from Plot Summaries Use NLP and clustering on movie plot summaries from IMDb and Wikipedia to quantify movie similarity.
Generating Keywords for Google AdWords Automatically generate keywords for a search engine marketing campaign using Python.
Give Life: Predict Blood Donations Build a binary classifier to predict if a blood donor is likely to donate again.
Mobile Games A/B Testing with Cookie Cats Analyze an A/B test from the popular mobile puzzle game, Cookie Cats.
Name Game: Gender Prediction using Sound Analyze the gender distribution of children's book writers and use sound to match names to gender.
Naïve Bees: Deep Learning with Images Build a deep learning model that can automatically detect honey bees and bumble bees in images.
Naïve Bees: Image Loading and Processing Load, transform, and understand images of honey bees and bumble bees in Python.
Naïve Bees: Predict Species from Images Build a model that can automatically detect honey bees and bumble bees in images.
Predict Stock Trends from News Headlines Scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight.
Predicting Credit Card Approvals Build a machine learning model to predict if a credit card application will get approved.
Recreating John Snow's Ghost Map Recreate John Snow's famous map of the 1854 cholera outbreak in London.
Reducing Traffic Mortality in the USA How can we find a good strategy for reducing traffic-related deaths?
Risk and Returns: The Sharpe Ratio Use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio.
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.
The Hottest Topics in Machine Learning Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research.
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.
Up and Down With the Kardashians Plot Google Trends data to find the most famous Kardashian/Jenner sister. Is it Kim? Kendall? Kylie?
Which Debts Are Worth the Bank's Effort? Play bank data scientist and use regression discontinuity to see which debts are worth collecting.
Who Is Drunk and When in Ames, Iowa? Flex your pandas muscles on breath alcohol test data from Ames, Iowa, USA.
Who's Tweeting? Trump or Trudeau? Use web scraping and NLP to find the most frequent words in Herman Melville's novel, Moby Dick.
Word Frequency in Moby Dick Build a machine learning classifier that knows whether President Trump or Prime Minister Trudeau is tweeting!

SQL

Project Description
Analyze International Debt Statistics Write SQL queries to answer interesting questions about international debt using data from The World Bank.
Introduction to DataCamp Projects If you've never done a DataCamp project, this is the place to start!
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.