Projects
Practice and develop your coding skills by building real live interactive autograded projects with solutions and video tutorials
1hrs average
Analyze and repair a Python script sabotaged by an internal attacker to recover the original password. Once fixed, validate it and decode a flag using CyberChef.
Easy
2hrs average
In this project, you will learn how to structure a professional Python project focused on analyzing biodiversity and climate data using SQL queries and Python tools like SQLAlchemy and Pandas.
Beginner
8hrs average
The StarWars Blog API will let you practice building a REST API using lightweight API frameworks like Express (for node) or Flask (for python) using SQLAlchemy ORM and Python language. while building a fun blog. Ideal for juniors looking to practice API development in python.
Easy
3hrs average
This project involves cleaning and analyzing a real estate dataset using Pandas, focusing on practical data science skills. After completing this project, students will be capable of handling, processing, and visualizing real-world data efficiently.
Easy
2hrs average
Use your NumPy, Pandas and Matplotlib skills to practice a little about hypothesis testing with Annova and others
Beginner
1hrs average
Learn how to train and optimize a machine learning model, build a Flask web app to interact with it, and deploy the full application on Render. This hands-on project walks you through data exploration, model creation, app development, and cloud deployment step by step.
Beginner
2hrs average
Use your NumPy, Pandas, and Matplotlib skills to practice a little about descriptive statistics
Beginner
1hrs average
Analyze a suspicious script, deduce the criminal's name from clues, and decode a flag using CyberChef.
Beginner
2hrs average
This project is designed to help you learn and practice data visualization techniques using Matplotlib and Seaborn libraries in Python. The exercises will guide you through creating customizable and elegant charts, from line and bar charts to scatter and pie charts.
Beginner
4hrs average
Learn to build a Basic Inventory API using FastAPI! Manage items with CRUD operations and expand with filters, search, and persistence. Perfect for beginners exploring APIs.
Beginner
4hrs average
Create an AI-powered Excuse Generator using Python or JavaScript. Learn to connect with ChatGPT's API and generate creative excuses. Perfect for coding practice!
Beginner
2hrs average
Practice your calculus and algebra skills using Python with NumPy, Pandas, and Matplotlib. Work through real-life exercises like calculating speed, acceleration, and cost optimization. Build functions, graphs, and tables while learning key concepts in calculus and linear algebra, such as derivatives and matrix operations.
Beginner
2hrs average
Learn how to optimize and build better Python algorithms for Machine Learning. Follow a step-by-step guide, improve code performance and master key techniques. Complete exercises, compare solutions and improve your skills.
Beginner
2hrs average
Use python and the beautiful soup library to download, scrape, clean and visualize the revenue information
Beginner
5hrs average
Build a supervised classification model to predict whether a person will surpass a certain annual income threshold based on demographic data, and develop an interpretative recommendation system that suggests alternative paths to improve their situation.
Intermediate
Analyze monthly sales data for three products over 20 days using Python. Apply loops, conditionals, and data structures to calculate totals, averages, and trends for better insights.
Beginner
6hrs average
Learn to build a personal expense tracker using Python and Flask. Create APIs, manage data with SQLAlchemy, and design a user-friendly interface to track expenses effectively.
Intermediate
2hrs average
Discover how artificial intelligence can classify red wine quality using chemical properties! This beginner-friendly machine learning project uses the K-Nearest Neighbors (KNN) algorithm to predict whether a wine is of low, medium, or high quality. Perfect for data science enthusiasts, this project combines real-world data, Python, and scikit-learn to build and optimize a predictive model.
Beginner
8hrs average
Create an API to read from a family tree structure
Beginner
2hrs average
Use your NumPy, Pandas, and Matplotlib skills to practice probability distributions. Complete the exercises in Python, follow the instructions to start, and submit your repository once finished. For additional help, refer to the provided solutions after attempting the problems.
Beginner