Women in Tech: Python & ML Foundations

Welcome! Let's test your knowledge on Python basics, data visualization, and machine learning concepts. You need a score of over 70% to pass.

1. Why do we use Virtual Environments when starting a Python project?

To make Python run faster on older computers. To isolate project dependencies and avoid conflicts between different libraries. To create a cloud backup of our code automatically.

2. In AI Philosophy, what is the main difference between Narrow AI and General AI?

Narrow AI only works on Windows, General AI works on all systems. Narrow AI is physical robots, General AI is software. Narrow AI is trained for a specific task, while General AI would have human-level cognitive abilities.

3. When working with Data Visualization in Python, which library is considered the foundational standard for creating charts and graphs?

TensorFlow Matplotlib Scikit-Learn

4. If you are analyzing a "Penguins Dataset" and create a Heat Map, what are you typically trying to visualize?

The correlation or relationship strength between different numerical variables. The exact geographic location where the penguins were found. The timeline of when the data was collected.

5. You want to predict Helsinki Apartment Prices based on their square meter size. Which Machine Learning method is best suited for this?

Classification Linear Regression Clustering

6. The Titanic Dataset is a famous beginner project used to predict whether a passenger survived (Yes/No). What type of ML problem is this?

Classification Regression Unsupervised Learning

7. How do you write a comment in Python to leave notes for yourself or other developers?

// This is a comment  # This is a comment

8. Which Python data structure is ordered, changeable, and allows duplicate members?

A List (e.g., [1, 2, 3]) A Set (e.g., {1, 2, 3}) A Dictionary (e.g., {"name": "Anna"})

9. When using ML Tools and Methods, why do we split our dataset into a "Training Set" and a "Test Set"?

To save memory space on the computer. To evaluate how well our model performs on new, unseen data. Because algorithms cannot process more than 100 rows at a time.

10. Which popular Python library is primarily used for loading, manipulating, and analyzing tabular data (like the Titanic dataset)?

Pandas NumPy Seaborn

11. Which Python statement is used to execute a block of code repeatedly for every item in a sequence?

an if statement a for loop a def statement

12. If your Titanic survival model has an accuracy score of 0.82, what does this mean?

The model ran 82 times faster than average. 82% of the data was used for training. The model predicted the correct outcome 82% of the time.

Python & Machine Learning Foundations