Wrangling and Visualizing Musical Data
Wrangle and visualize musical data to find common chords and compare the styles of different artists.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Wrangle and visualize musical data to find common chords and compare the styles of different artists.
Discover the top tools Kaggle participants use for data science and machine learning.
Flex your data manipulation muscles on breath alcohol test data from Ames, Iowa, USA.
Experiment with clustering algorithms to help doctors inform treatment for heart disease patients.
Define functions to catch errors when new users register for an app!
How can we find a good strategy for reducing traffic-related deaths?
Use data science to catch criminals, plus find new ways to volunteer personal time for social good.
Explore a dataset containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.
Explore the salary potential of college majors with a k-means cluster analysis.
Recreate John Snow's famous map of the 1854 cholera outbreak in London.
Examine the relationship between heart rate and heart disease using multiple logistic regression.
Use tree-based machine learning methods to identify the characteristics of legendary Pokémon.
Build a machine learning classifier that knows whether President Trump or Prime Minister Trudeau is tweeting!
Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.
Build a book recommendation system using NLP and the text of books like "On the Origin of Species."
Leverage machine learning algorithms and models for marketing analytics tasks in a streaming platform.
Apply your data manipulation skills to time series data on water levels of the River Thames.
Exploring flight data from NYC using advanced data joining techniques in R.
Flex your data manipulation muscles on breath alcohol test data from Ames, Iowa, USA.
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.
Write functions to forecast time series of food prices in Rwanda.
Create custom Python functions to validate user input!
Analyze admissions data from UC Berkeley and find out if the university was biased against women.
Process ingredient lists for cosmetics on Sephora then visualize similarity using t-SNE and Bokeh.
Manipulate date and time using Python
Analyze health survey data to determine how BMI is associated with physical activity and smoking.
Use web scraping and NLP to find the most frequent words in classic literature: Herman Melville's novel, Moby Dick.