Help the owner of a whimsical bookshop in his quest to sort books in a variety of different manners.

A Sorted Tale

Help the MuscleHub gym determine the best fitness test format by conducting A/B testing. 

A/B Test for MuscleHub

Nosh Mish Mosh is a food startup with a cool new idea. Help them make data driven decisions by analyzing their user base.

A/B Testing at Nosh Mish Mosh

Analyst the A/B test data from ShoeFly.com using aggregate measures.

A/B Testing for ShoeFly.com

Use Python's Flask framework to create a pet adoption website.

Adopt a Pet

Use data visualizations to understand trends and relationships in commercial flight data.

Airline Analysis

Use your knowledge of context managers in Python to help Aisha’s Greetings - a card printing company that prints greeting cards.

Aisha's Greetings

In this project, you will explore data on Algerian forests and run multiple linear regression models using variables including temperature, humidity, and fire risk.

Algerian Forest Fires

Act as a 'Yahoo Finance' data analyst to generate a stock profile for Netflix.

Analyze and Visualize Netflix Stock Data

Analyze website domain data using DataFrames, SQL, and RDDs with the big data tool PySpark.


Analyze Common Crawl Data with PySpark

Predict winning NFL games from game stats using logistic regression. Then find out which game stats are most important to your model.

Analyze NFL Stats with Python

Visualize traffic safety data and analyze the relationship between collisions and smartphone usage over time

Analyze Traffic Safety Data with Python

Practice planning and implementing an A/B test.

Analyzing Farmburg's A/B Test

Use PySpark SQL and DataFrames to analyze Wikipedia clickstream data

Analyzing Wikipedia Clickstreams with PySpark

In this project, we're going to practice functions and conditionals in Python so you can hone your skills and feel confident taking them to the real world.
Why? Ever wanted to automate your math homework? Time to build something in Python that does just that.

Area Calculator

In this project, we're going to practice classes in Python so you can hone your skills and feel confident taking them to the real world.
Why? Classes provide a means of bundling data and functionality together. You need to master these in order to master Python.

Bank Account

In this restauranteur project you'll design software that handles operations for a chain of restaurants!

Basta Fazoolin'

In this project, you will be using Python Classes to create a game system similar to the popular game series Pokémon. Create several classes that interact with each other to make your own Pokémon battles!

Become A Pokémon Master

Help Betty figure out how much she needs to buy using NumPy arrays describing her recipes.

Betty's Bakery

Display your initials on screen in block characters to create an ASCII art.

Block Letters

Use a Hash Map with a separate chain of Linked Lists to store the language of flowers. For every flower, save its meaning with Blossom!

Blossom

Use your pandas and matplotlib skills to analyze and visualize the FoodWheel dataset.

Board Slides for FoodWheel

Use Python data structures and algorithms to help people navigate around Vancouver.

Build a Routing Program to Help Vancouver Commuters

In this project you'll make your own Connect Four AI and try to beat ours

Build Your Own Connect Four AI

In this project, you will learn how to use the basics of Python syntax and data to make calculations. 

Calculating Population Change Over Time

Classify tumors as either malignant or benign using K-Nearest Neighbors.

Cancer Classifier

Solve the interview problem of a histogram filled with water and learn about benchmarking to measure the performance of your code.

Capturing Rain Water

Use your newfound knowledge of loops to discover trends in the operation of the newest hair salon in town, Carly's Clippers.

Carly's Clippers

Test your Python skills by building a program to censor sensitive information from a series of emails.

Censor Dispenser

Apply your knowledge of variable types to investigate, clean, and begin to analyze a sample of simulated census data.


Census Variables

In this project, you will use your knowledge of mean, median and mode to make conclusions about three boroughs in New York City: Manhattan, New York City, and Queens.

Central Tendency for Housing Data

Use BeautifulSoup to scrape a site that contains over 1700 expert ratings of different chocolate bars. Then, put the data you find into Pandas and analyze the results!

Chocolate Scraping with Beautiful Soup

Write an interactive Choose Your Own Adventure game using the Tree data structure.

Choose Your Own Adventure: Wilderness Escape

In this project, you will create a neural network that classifies mortality due to heart disease.

Classification

Build a deep learning model with TensorFlow to detect and classify infections from real X-ray scans.

Classify X-rays With Machine Learning

In this project, you will use a Convolutional Neural Network (CNN) to classify galaxies.

Classifying Galaxies

Train and evaluate a CNN to detect tumors in histopathological scans from the PatchCamelyon dataset.

Classifying Microscopic Histopathology Images with PyTorch

Use your pandas and regex skills to clean up this dataset containing a bunch of census data collected by the US government.

Cleaning US Census Data

In this project, we're going to practice functions and modules in Python so you can hone your skills and feel confident taking them to the real world.
Why? Python has a lot of really helpful built in modules. Let's use some new ones and solidify your knowledge with certain data structures.

Command Line Calendar

Welcome! In this portion of the project, we will focus on building our Connect Four board. We'll think about how to represent the board and then how to display it to the user.

Connect Four Part 1: Creating The Board

In part two of our Connect Four project, we will focus on making some functions that allow the user to interact with the board.

Connect Four Part 2: Interacting With The Board

In Part 3 of our Connect Four project, we're going to accomplish two tasks: determining if a player has won the game, and setting up a loop to play the game until the game has ended.

Connect Four Part 3: Determining The Winner And Playing The Game

Use your data visualization skills to explore the night sky and model the Orion Constellation.

Constellations

Compare linear regression models to predict housing prices on Craigslist.

Craigslist Analysis

Use what you've learned about Classes and Objects to create a complicated system.

Create a Game Using Classes and Objects

Analyze hotel cancellations using AI and Python.

Create Analytics with AI: Hotel Cancellations

Build a Python contact management system using loops, `if-else` statements, and dictionaries. Learn how to create a functional contact book that allows users to add, view, and manage contacts efficiently.

Creating a Contact Book

Use NumPy to solve statistical questions about a cereal dataset. 

CrunchieMunchies

You will create a regression deep learning model that predicts an applicant's graduate admissions chances based on various parameters, such as grades, test scores, and program rating.

Deep Learning Regression with Admissions Data

Determine the number of defective products made at a factory on a given day. Apply concepts from the Poisson distribution, including random variables, the probability mass function, the cumulative distribution function, and expected values.

Detecting Product Defects with Probability

Use your knowledge of models and databases to programmatically help the owners of Djaunty Rent-a-Bike build out their rental system!

Djaunty Rent-a-Bike

In this next project, we're going to practice loops in Python so you can hone your skills and feel confident taking them to the real world.
Why? Being able to read and pull a file's data and then loop through each line will give you some serious power.

DNA Analysis

Given that a student answered a question correctly, what is the probability that she really knows the material?

Dr. Dirac's Statistics Midterm

Use your seaborn visualization skills to perform EDA on the Kiva dataset.

EDA with Kiva

Inspect, clean, and validate a dataset on diabetes prevalence among females of Pima Indian heritage.

EDA: Diagnosing Diabetes

See how survey responses compare to actual election results using binomial distributions. 

Election Results

In this project you will categorize emails using a Naive Bayes Classifier.

Email Similarity

In this project, you will practice further with creating generators to retrieve and iterate through streams of data as well as using various methods to manipulate the generator data.

Event Coordinator

Predicting employee attrition is challenging for HR departments, as it helps organizations retain valuable talent and reduce turnover costs. However, AI models used in such decisions must be transparent and interpretable, ensuring that HR professionals can trust and understand the predictions.

In this project, we will use the IBM HR Analytics Employee Attrition Dataset to predict whether an employee will likely leave the company. We will train different machine learning models and apply Explainable AI (XAI) techniques to interpret their predictions.

By the end of this project, we will have a fully interpretable pipeline that can help HR professionals make informed, fair, and data-driven decisions regarding employee retention.

Explainable AI in Employee Attrition Prediction

This project demonstrates how to use SHAP (SHapley Additive exPlanations) to interpret the predictions of a machine learning classification model for breast cancer diagnosis. Using the Wisconsin Breast Cancer [dataset](https://archive.ics.uci.edu/dataset/17/breast+cancer+wisconsin+diagnostic), we analyze how individual features, such as mean radius, texture, and smoothness, influence the model's decision to classify a tumor as benign or malignant. By visualizing SHAP values, we gain insights into the contribution of each feature to the model's predictions, enabling better transparency and trust in AI-driven healthcare diagnostics.

Explaining Breast Cancer Diagnosis Predictions with SHAP

Use your bar chart analysis skills to the test with a fun mushroom dataset!

Exploring Mushrooms

Summarize the features of a dataset about student performance at two different schools.

Exploring Student Data

In this project we will be offering our services to a cool new startup named Familiar. We will be using statistical techniques to make statements and draw conclusions about Familiar's userbase.

Familiar: A Study In Data Analysis

In this project we will be offering our services to a cool new startup named Familiar. We will be using statistical techniques to make statements and draw conclusions about Familiar's user base.

Analyze dog adoption data for a pet startup.

FetchMaker

In this project we will practice different hypothesis tests by analyzing dog data from FetchMaker, the hottest new business. We will be looking for significant differences between dog breeds. Un-leash your newfound knowledge on these statistical challenges!

Use decision trees to predict what continent a flag comes from based on features like color and shape.

Find the Flag

In this project, you will create a small application in which users can add songs to their personal playlist from a global music library curated by an administrator.

FlaskFM

In this project, we will build a Fortune Telling Django web app using the MTV pattern. 


Fortune Teller

Investigate Frida Kahlo's work in the project using your own computer!

Frida Kahlo Retrospective

You will work to write several functions that simulate games of chance. By generating random numbers, you can simulate rolling dice, drawing cards from a deck, and spinning a roulette wheel.

Games of Chance

Create neural networks in PyTorch to generate text using Mary Shelley's novel Frankenstein.

Generating Text with Frankenstein Using PyTorch 

Let's prepare to teach physics by writing some Python functions.

Getting Ready for Physics Class

Get practice using Python lists by keeping track of grades in multiple school subjects.

Gradebook

Use your knowledge of Python files to take down an evil hacker once and for all. 

Hacking The Fender

In this project, you will be using K-Means clustering and scikit-learn to cluster images of handwritten digits.

Handwriting Recognition using K-Means

Use boxplots to compare how hospitals in different states charge patients for medical procedures.

Healthcare in Different States

Investigate risk factors for heart disease using descriptive statistics and hypothesis tests.

Heart Disease Research Part I

Heart Disease Research Part II

Fit a line to data about the honeybee population decline in the United States.

Honey Production

Write functions to organize and manipulate data about Category 5 Hurricanes. By using dictionaries and lists, you can easily access the data you want and present it in different ways.

Hurricane Analysis

Use NumPy and linear algebra knowledge to do fun image transformations!

Image Transformations with NumPy

In this project, you will design, train, and evaluate a neural network model performing the task of regression to predict the life expectancy of countries using this dataset using Python and TensorFlow!

Implementing Neural Networks

Practice your usage of Python lists to organize some pizza data.

Len's Slice

Investigate life expectancy around the world.

Life Expectancy By Country

Explore the limit definition of the derivative using Python.

Limit Definition of the Derivative Exploration

Help us understand quiz performance on Codecademy using linear regression.

Linear Regression at Codecademy

Apply dynamic programming to the problem of finding the longest common subsequence between two strings.

Longest Common Subsequence

We’ve learned about and explored a powerful tool in Python — control flow! It’s so powerful, in fact, that it can be used to tell someone’s fortune.

Magic 8-Ball

Make a line chart with matplotlib to visualize precipitation data in six locations around the world.

Make a Line Chart for Research

Explore the effects of sleep and alcohol consumption on mental and physical health in a large public-health dataset and present your findings in publication-ready charts using Seaborn.

Make Publishable Charts with Seaborn

Make visualizations (bar chart, pie chart, scatterplot, and histogram) to answer questions about sales data. Enhance the charts with parameters like error bars, AB lines, and subplot configuration. 

Make the Other Charts: Silly's Ice Cream Shop Project

Improve upon a first draft chart to make a clear visual argument comparing the two most Grammy-winning artists ever: Georg Solti and Beyoncé.

Making A Visual Argument: Compare Grammy Win Records

Use clustering algorithms to investigate the way people think about masculinity with data from FiveThirtyEight.

Masculinity Survey

This project uses the graph data structure to navigate a maze!

Maze Explorer

Analyze National Basketball Association (NBA) data to look at associations between teams, win-rates, playoff appearances, and more.

NBA Trends

In this project, you will work with several different types of iterables to create iterators to help you set up and organize the new class you’ll be teaching.

New Teacher in Town

In this project, we're going to practice functions in Python so you can hone your skills and feel confident taking them to the real world.
Why? Your Python skills are really starting to come together. Let's test what you know.

Number Guess

Put your knowledge of lists, loops, and strings to work in this project decoding messages!

Practice projects in Python

Solidify concepts with guided practice.

A Sorted Tale

A/B Test for MuscleHub

A/B Testing at Nosh Mish Mosh

A/B Testing at Nosh Mish Mosh

A/B Testing for ShoeFly.com

Adopt a Pet

Airline Analysis

Aisha's Greetings

Algerian Forest Fires

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