Projects
Practice and develop your coding skills by building real live interactive autograded projects with solutions and video tutorials
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
Use KNN algorithm to build a simple movie recommender system.
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
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
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
2hrs average
Use Flask to create a machine learning web application to predict Titanic survival.
Beginner
2hrs average
Use your NumPy, Pandas, and Matplotlib skills to practice a little about descriptive statistics
Beginner
2hrs average
Learn how to build a linear regression model from scratch: understand a new dataset, perform exploratory data analysis (EDA), model the data, and optimize your model. Discover how the $R^2$ evolves by adjusting the Lasso model's hyperparameter up to a value of 20.
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