Classification with Python
Curso
357 Alunos já inscritos- Grasp the foundational concepts of machine learning with a focus on classification using Python.
- Become proficient with k-NN classification, understanding how to handle multiple features and choose optimal values for k.
- Gain expertise in implementing logistic regression, managing decision boundaries, and tackling overfitting through regularization.
- Develop skills in constructing decision trees, working with random forests, and interpreting model outcomes with confusion matrices and metrics.
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Existem 5 módulos neste curso
In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!Escolhido por estudantes das melhores escolas
Por que as pessoas escolhem o Codefinity para sua carreira

Kwizera Mugisha
The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

Sherry Barnes-Fox
My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.

Bill Wagner
I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

Stephanie Chan
As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

Daniel Chinea
I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.

Steve Bruening
The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.
Avaliações de alunos
4.0
15 avaliações
5
53%
4
7%
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33%
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Mostrando 3 de 15 avaliações
Yan Bodnya
5
Avaliado em May 29, 2025
Good course. I would add more methods. Overall found it quite intuititve to follow.
Alvaro Ballon Bordo
5
Avaliado em Mar 30, 2025
Great! Learned a lot and quickly from this course. And the meme's were *chef's kiss*.
Eoghan Gormley
1
Avaliado em Mar 24, 2025
This is the worst course I've taken here so far in terms of clarity. I have a Ph.D. in computational chemistry, so I'm no stranger to these statistical methods. This course presents classification methods and concepts without really explaining what they are or what they're used for. If you're not familiar with a lot of statistical methods, you should consider taking the Learning Statistics with Python course. Also, there are many grammatical errors that impede the clarity of the content. Overall, this course just feels sloppy.
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Uma assinatura abre este curso e todo o nosso catálogo de projetos e habilidades.Sua assinatura também inclui:
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