Lesson List

Welcome to AI Programming with Python

Start using AI techniques and developing skills related to programming, linear algebra, and neural networks.

Why Python Programming

Start coding with Python, drawing upon libraries and automation scripts to solve complex problems quickly.

Data Types and Operators

Control Flow

Functions

Scripting

Lab Classifying Images

In this project, learners will be testing their newly-acquired Python coding skills by using a trained image classifier. They will need to use the trained neural network to classify images of dogs (by breeds) and compare the output with the known dog breed classification. Learners will have a chance to build their own functions, use command line arguments, test the runtime of the code, create a dictionary of lists, and more.

NumPy

Learn how to use all the key tools for working with data in Python: Jupyter Notebooks, NumPy, Anaconda, Pandas, and Matplotlib.

Pandas

Matplotlib and Seaborn Part 1

Learn how to use Matplotlib to choose appropriate plots for one and two variables based on the types of data you have.

Matplotlib and Seaborn Part 2

Introduction

Learn the foundational math needed for AI success—vectors, linear transformations, and matrices—as well as the linear algebra behind neural networks.

Vectors

Linear Combination

Linear Transformation and Matrices

Vectors Lab

Linear Combination Lab

Linear Mapping Lab

Linear Algebra in Neural Networks

Introduction to Neural Networks

Gain a solid foundation in the latest trends in AI: neural networks, deep learning, and PyTorch.

Implementing Gradient Descent

Training Neural Networks

Deep Learning with PyTorch

Create Your Own Image Classifier

How Do I Continue From Here

Go to course home
05. Quiz: Conditional Statements

Quiz: Guess My Number

You decide you want to play a game where you are hiding a number from someone. Store this number in a variable called ‘answer’. Another user provides a number called ‘guess’. By comparing guess to answer, you inform the user if their guess is too high or too low.

Fill in the conditionals below to inform the user about how their guess compares to the answer.

# '''
# You decide you want to play a game where you are hiding 
# a number from someone.  Store this number in a variable 
# called 'answer'.  Another user provides a number called
# 'guess'.  By comparing guess to answer, you inform the user
# if their guess is too high or too low.

# Fill in the conditionals below to inform the user about how
# their guess compares to the answer.
# '''
answer = #provide answer
guess = #provide guess

if #provide conditional
    result = "Oops!  Your guess was too low."
elif #provide conditional
    result = "Oops!  Your guess was too high."
elif #provide conditional
    result = "Nice!  Your guess matched the answer!"

print(result)

→ Submit your solution

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