Classification with Python
Kurssi
90 Opiskelijat jo ilmoittautuneet- 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.
Varusta yrityksesi huipputeknologialla Data ja tekoäly asiantuntemus.
Jaa se sosiaalisessa mediassa ja suoritusarvioinnissasi
On 5 moduulia tässä kurssissa
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!Opiskelijoiden valitsema parhaista kouluista
Miksi ihmiset valitsevat Codefinityn uralleen

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.
Suositeltu, jos olet kiinnostunut oppimaanPython
Omaksu teknologiaosaamisen kiehtovuus! Tekoälyavustajamme antaa reaaliaikaista palautetta, henkilökohtaisia vinkkejä ja virheiden selityksiä, jotta opit luottavaisin mielin.
Työtilojen avulla voit luoda ja jakaa projekteja suoraan alustallamme. Olemme valmiiksi suunnitelleet mallit sinun helpottamiseksi.
Ota hallintaasi urakehityksesi ja aloita matkasi uusimpien teknologioiden hallintaan
Todelliset projektit kohottavat portfoliotasi, esitellen käytännön taitoja, joilla vakuutat työnantajat.




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