ML Introduction with scikit-learn
Kurssi
270 Opiskelijat jo ilmoittautuneet- Gain foundational insights into Machine Learning concepts.
- Explore data types and preprocessing techniques in Scikit-learn.
- Understand Machine Learning workflows including training sets and models.
- Grasp data scaling methods: StandardScaler, MinMaxScaler, MaxAbsScaler.
Varusta yrityksesi huipputeknologialla Data ja tekoäly asiantuntemus.
Jaa se sosiaalisessa mediassa ja suoritusarvioinnissasi
On 4 moduulia tässä kurssissa
Machine learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn – the most popular library for ML and build your first Machine Learning project. This course is intended for students with a basic knowledge of Python, Pandas, and Numpy.- Scikit-learn ConceptsEsikatselu
- Getting Familiar with DatasetEsikatselu
- Dealing with Missing ValuesEsikatselu
- Challenge: Imputing Missing ValuesEsikatselu
- OrdinalEncoderEsikatselu
- One-Hot EncoderEsikatselu
- LabelEncoderEsikatselu
- Challenge: Encoding Categorical VariablesEsikatselu
- Why Scale the Data?Esikatselu
- StandardScaler, MinMaxScaler, MaxAbsScalerEsikatselu
- Challenge: Scaling the FeaturesEsikatselu
- ModelsEsikatselu
- KNeighborsClassifierEsikatselu
- Evaluating the ModelEsikatselu
- Cross-ValidationEsikatselu
- Challenge: Evaluating the Model with Cross-ValidationEsikatselu
- GridSearchCVEsikatselu
- The Flaw of GridSearchCVEsikatselu
- Challenge: Tuning Hyperparameters with RandomizedSearchCVEsikatselu
- Modeling SummaryEsikatselu
- Challenge: Putting It All TogetherEsikatselu
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.
Opiskelijapalautteet
5.0
2 arvostelut
5
100%
4
0%
3
0%
2
0%
1
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Näytetään 2 josta 2 arvostelut
Ivan Derzhylo
5
Arvioitu Feb 9, 2024
Excellent quality of all courses I have passed
5
Arvioitu Nov 29, 2023
Easy to use and quick
Suositeltu, jos olet kiinnostunut oppimaanPython
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