Classification with Python
Kursus
310 Allerede tilmeldte studerende- 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.
Udstyr din virksomhed med banebrydende teknologi Data og KI erfaring.
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Der er 5 moduler i dette kursus
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!- What is ClassificationForhåndsvisning
- What is k-NNForhåndsvisning
- k-NN with Multiple FeaturesForhåndsvisning
- Implementing k-NNForhåndsvisning
- Multi-Class ClassificationForhåndsvisning
- Train-test Split. Cross ValidationForhåndsvisning
- Challenge: Choosing the Best K Value.Forhåndsvisning
- k-NN SummaryForhåndsvisning
- What is Logistic RegressionForhåndsvisning
- Finding the ParametersForhåndsvisning
- Challenge: Implementing Logistic RegressionForhåndsvisning
- Decision BoundaryForhåndsvisning
- Overfitting. RegularizationForhåndsvisning
- Challenge: Classifying Unseparateble DataForhåndsvisning
- Logistic Regression SummaryForhåndsvisning
Udvalgt af studerende fra de allerbedste skoler
Hvorfor folk vælger Codefinity til deres karriere
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.
Studerendes anmeldelser
4.2
13 anmeldelser
5
54%
4
8%
3
38%
2
0%
1
0%
Viser 3 af 13 anmeldelser
Alvaro Ballon Bordo
5
Anmeldt den Mar 30, 2025
Great! Learned a lot and quickly from this course. And the meme's were *chef's kiss*.
Carmen
5
Anmeldt den Nov 26, 2024
This guy has a heart in that
Kos Kokos
5
Anmeldt den Nov 14, 2024
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