Tweet

https://twitter.com/gusthema/status/1437715055664144386

This Thread may be Removed Anytime!

Twitter may remove this content at anytime! Save it as PDF for later use!

More from @gusthema

Luiz GUStavo 💉💉🎉

@gusthema

24 Jun

One term that I learned when I started studying ML is Hyperparameter.

What is it?
When should I worry about it?

Let me try to clarify it...

[3 min]

1/9🧵

First, what are the parameters of a ML model?

Those are typically the weights that you end up with after training your model. Example:

If you are creating a model to solve
AX + B = Y

A and B are the parameters you'll find. They are also know as the weights of the model

2/9🧵

Hyperparameters are the values that control the learning process.
Let's suppose we have the code in the image.

Hyperparameters could be: unit (from the Dense layer), learning_rate from the optimizer or even the batch_size

3/9🧵

Read 9 tweets

Luiz GUStavo 💉💉🎉

@gusthema

18 Jun

This week I've been posting about the itertools Python🐍 module.

If you want to improve your coding skills, one way is adding new tools to your toolbox

Itertools enables you to solve problems that would otherwise be absurdly hard to solve.

[2min]

1/7🧵

After you've learned the basic of Python, I'd suggest you go deeper in the collections manipulation:

• Slicing
• Comprehension
• Generators
• Iterators
• Itertools
• map/filter/zip

I've posted about all this content in the past, I can revisit if you'd like

2/7🧵

https://twitter.com/gusthema/status/1404499857184804868

This week I've explained all functions on the itertools module

Starting by the basic ones:

https://twitter.com/gusthema/status/1404499857184804868

3/7🧵

Read 7 tweets

Luiz GUStavo 💉💉🎉

@gusthema

17 Jun

Generating combinations and permutations is usually a tricky task in programming.

In Python 🐍, using the itertools library this becomes much easier, less memory intensive and faster!

Let me tell you what I learned with them

[4.45 min]

1/13🧵

Let's suppose you want to create all possible cards of a regular deck. What you have to do is to join:

• All cards ranks: A, 2 to 10, J, Q and K
• The 4 suits: ♥️♣️♦️♠️

How to generate all cards?

2/13🧵

The operation that can solve this is a cartesian product:

ranks = ['A'] + list(range(2, 11)) + ['J', 'Q', 'K']
suits = ['♥️', '♣️', '♦️', '♠️']

all_cards = it.product(suits, ranks)
>>> ('A', '♥️'),('A', '♣️'),('A', '♦️'),('A', '♠️'),...
len(all_cards)
>>> 52

3/13🧵

Read 13 tweets

Luiz GUStavo 💉💉🎉

@gusthema

15 Jun

Following up from my previous thread, let's continue taking a look at some additional itertools methods

Some of them, as you will see, have very similar built-in versions but the key here is: itertools works on iterables and generators that are lazy evaluated collections

1/14🧵

One example is the method islice. It does slicing but for iterables (potentially endless collections). The main difference is that it doesn't accept negative indexes like regular slicing.

numbers = range(10)
items = it.islice(numbers, 2, 4)
>>> [2, 3]

2/14🧵

zip_longest vs zip
both do the same thing: aggregates elements from multiple iterators.

The difference is that zip_longest aggregates until the longest iterator ends while zip stops on the shortest one.

It will fill the missing values with any value you want

3/14🧵

Read 14 tweets

Luiz GUStavo 💉💉🎉

@gusthema

9 Jun

Quick⚡️ Python🐍 trick:
How do you merge two dictionaries?

[55 sec]🤯

1/6🧵

For Python 3.5 and up you can do:

d1 = {"a":1, "b":2}
d2 = {"c":3, "d":4}
d3 = {**d1, **d2}
d3 == {"a": 1, "b": 2, "c":3, "d":4}

Why?

2/6🧵

The ** operator expands the collection, so, you can think it as this:

d1 = {"a":1, "b":2}
d2 = {"c":3, "d":4}
d3 = {**d1, **d2} -> {"a":1, "b":2, "c":3, "d":4}
d3 == {"a": 1, "b": 2, "c":3, "d":4}

3/6🧵

Read 6 tweets

Luiz GUStavo 💉💉🎉

@gusthema

8 Jun

I was telling a friend that one cool feature from Python is list slice notation

So instead of just posting the link I decided to do a brief explanation.

[5 min]

Python's regular array indexing as in multiple languages is: a[index]

a = [0, 1, 2, 3, 4]
a[0] == 0

1/12🧵

Python has negative indexing too:

a = [0, 1, 2, 3, 4]
a[-1] == 4
a[-2] == 3

2/12🧵

Python also enables creating sub-lists from a list, or a slice:

-> a[start_index:last_index]

a = [0, 1, 2, 3, 4]
a[1:3] == [1, 2]

start_index is inclusive
last_index is exclusive

3/12🧵

Read 12 tweets

Share this page!

Luiz GUStavo 💉💉🎉

Try unrolling a thread yourself!

More from @gusthema

Luiz GUStavo 💉💉🎉

Luiz GUStavo 💉💉🎉

Luiz GUStavo 💉💉🎉

Luiz GUStavo 💉💉🎉

Luiz GUStavo 💉💉🎉

Luiz GUStavo 💉💉🎉

Did Thread Reader help you today?

Like this author's thread?