Predict Future Sales of Fast-Food Menu Items
Help a fast food chain save money and place more accurate orders by building a model to predict food sales.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Help a fast food chain save money and place more accurate orders by building a model to predict food sales.
Explore habitat data using factor and survival analysis tools.
Get ready for Halloween by digging into a FiveThirtyEight dataset with all your favorite candy!
Solve the Taxi-v3 environment using Q-learning, ensuring efficient AI-driven transportation.
Analyze athletics data to find new ways to scout and assess jumpers and throwers.
Cluster NBA players by performance stats in the 2022-2023 season.
Examine the network of connections among local health departments in the United States.
Create and explore interactive maps using Leaflet to determine where to open the next Chipotle.
Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows.
Use your logistic regression skills to protect people from becoming zombies!
Discover how the US bond yields behave using descriptive statistics and advanced modeling.
Analyze grocery store data to identify shopping patterns and preferences.
Use mean-variance optimization to find optimal portfolio weights and then check how well they would have performed.
Examine the relationship between heart rate and heart disease using multiple logistic regression.
Analyze the relative popularity of programming languages over time based on Stack Overflow data.
Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.
Use deep learning to automate the classification of service desk tickets.
Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.
Transcribe customer support audio calls, evaluate sentiment, search in text and identify common entities to improve customer service!
Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.
Apply your skills from "Working with Dates and Times in R" to breathalyzer data from Ames, Iowa.
Develop a multi-input model to classify characters from scanned documents.
Building an image processing pipeline for data augmentation.
Write functions to forecast time series of food prices in Rwanda.
Explore facial recognition with ML by distinguishing Arnold Schwarzenegger from others using Python and scikit-learn.
Explore transportation time series data analysis to uncover patterns and forecast travel costs.
Enhancing Transportation Safety through Traffic Sign Detection
Improve a Car Price prediction model using Feature Engineering tools
Use R to make art and create imaginary flowers inspired by nature.
Join a leading HR consultancy to use regular expressions and data preprocessing to find tech job candidates from thousands of resumes.