Exploring the Bitcoin Cryptocurrency Market
You will explore the market capitalization of Bitcoin and other cryptocurrencies.
You will explore the market capitalization of Bitcoin and other cryptocurrencies.
Learn to analyze Twitter data and do a deep dive into a hot trend.
Apply your importing and data cleaning skills to real-world soccer data.
Explore Disney movie data, then build a linear regression model to predict box office success.
Import, clean, and analyze seven years worth of training data tracked on the Runkeeper app.
Use tree-based machine learning methods to identify the characteristics of legendary Pokémon.
Process ingredient lists for cosmetics on Sephora then visualize similarity using t-SNE and Bokeh.
Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows.
Use data manipulation and visualization to explore one of two different television broadcast datasets: The Super Bowl and hit sitcom The Office!
Use your logistic regression skills to protect people from becoming zombies!
Predict the impact of climate change on bird distributions using spatial data and machine learning.
Use NLP and clustering on movie plot summaries from IMDb and Wikipedia to quantify movie similarity.
Build a binary classifier to predict if a blood donor is likely to donate again.
Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.
Use data science to catch criminals, plus find new ways to volunteer personal time for social good.
Scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight.
Build a book recommendation system using NLP and the text of books like "On the Origin of Species."
Explore the salary potential of college majors with a k-means cluster analysis.
Analyze admissions data from UC Berkeley and find out if the university was biased against women.
Build a deep learning model that can automatically detect honey bees and bumble bees in images.
Experiment with clustering algorithms to help doctors inform treatment for heart disease patients.
Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.
Write functions to forecast time series of food prices in Rwanda.
Build a convolutional neural network to classify images of letters from American Sign Language.
Play bank data scientist and use regression discontinuity to see which debts are worth collecting.
Apply your skills from "Working with Dates and Times in R" to breathalyzer data from Ames, Iowa.
Use pandas and Bayesian statistics to see if left-handed people actually die earlier than righties.
Create and explore interactive maps using Leaflet to determine where to open the next Chipotle.
Flex your data manipulation muscles on breath alcohol test data from Ames, Iowa, USA.
Build a machine learning classifier that knows whether President Trump or Prime Minister Trudeau is tweeting!
How can we find a good strategy for reducing traffic-related deaths?
Get ready for Halloween by digging into a FiveThirtyEight dataset with all your favorite candy!
Rock or rap? Apply machine learning methods in Python to classify songs into genres.
Examine the relationship between heart rate and heart disease using multiple logistic regression.
Examine the network of connections among local health departments in the United States.
Analyze the relative popularity of programming languages over time based on Stack Overflow data.
Load, transform, and understand images of honey bees and bumble bees in Python.
Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
Join us at a leading insurance company, where we'll craft a model to predict customer charges and test it with new client data
Flex your data manipulation muscles on breath alcohol test data from Ames, Iowa, USA.
Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.
Compare life expectancy across countries and genders with ggplot2.
Find the true Scala experts by exploring its development history in Git and GitHub.
Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research.
Analyze data from the hit mobile game, Candy Crush Saga.
Recreate John Snow's famous map of the 1854 cholera outbreak in London.
Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.
Analyze the relative popularity of programming languages over time based on Stack Overflow data.
Find out about the evolution of the Linux operating system by exploring its version control system.
Write functions to forecast time series of food prices in Rwanda.