"Day 6 of #PythonChallenge! 📚
Today, let's dive into list comprehensions for cleaner, faster code. Instead of:
python squares = [] for i in range(10): squares.append(i**2)
Use:
python squares = [i**2 for i in range(10)]
Output: [0, 1, 4, 9, 16, 25, 36, 49, 64, 81]
Day 5 of Python
Control Flow
Conditionals: Use if, else to make decisions. Example: if age >= 18: print("Adult").
- Loops: for loops iterate over lists (for x in [1, 2, 3]: print(x)). while loops run until a condition is false (while count < 5: print(count)).#100DaysOfCode
In general, when it looks like someone progressed so fast they “must” have taken a shortcut, what really happened is they speed-ran the foundations.
Either that or you’re overestimating their actual ability (likely because they’re exploiting signaling to trick you).
How can…
In general, when it looks like someone progressed so fast they “must” have taken a shortcut, what really happened is they speed-ran the foundations.
Either that or you’re overestimating their actual ability (likely because they’re exploiting signaling to trick you).
How can…
Model selection is the process of choosing the most appropriate machine learning or statistical model for a given dataset and task. It involves evaluating different models based on their performance, complexity, and suitability for the problem.
#mlzoomcamp#ai
Data understanding in machine learning (ML) is the process of getting to know the data you’re working with to ensure it supports the business problem you’re trying to solve. It’s a critical step after defining the business objective.#mlzoomcamp#ai
Day 4
Understanding data types and how to manipulate strings
Data types
Type Error, type checking and type conversion
Mathematical operations in python
#100daysofpython#100daysofcode
Day 4
Understanding data types and how to manipulate strings
Data types
Type Error, type checking and type conversion
Mathematical operations in python
#100daysofpython#100daysofcode
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