Classification Avec Python
Course
300 Learners Already enrolled- Comprendre les concepts fondamentaux de l'apprentissage automatique avec un accent sur la classification en utilisant Python.
- Devenir compétent avec la classification k-NN, comprendre comment gérer plusieurs caractéristiques et choisir des valeurs optimales pour k.
- Acquérir une expertise dans la mise en œuvre de la régression logistique, la gestion des frontières de décision et la lutte contre le surapprentissage grâce à la régularisation.
- Développer des compétences dans la construction d'arbres de décision, le travail avec des forêts aléatoires et l'interprétation des résultats des modèles avec des matrices de confusion et des métriques.
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There are 6 modules in this course
En apprentissage automatique, la classification est utilisée dans la modélisation prédictive pour attribuer aux données d'entrée une étiquette de classe. Cela semble difficile ? Ne vous inquiétez pas ! Allons-y ! Bienvenue dans le ML !Chosen by students of top schools
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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.
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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.
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4.2
13 reviews
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Showing 3 of 13 reviews
Alvaro Ballon Bordo
5
Reviewed on Mar 30, 2025
Great! Learned a lot and quickly from this course. And the meme's were *chef's kiss*.
Carmen
5
Reviewed on Nov 26, 2024
This guy has a heart in that
Kos Kokos
5
Reviewed on Nov 14, 2024
Recommended if you're interested in learning Python
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