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ML Introduction with scikit-learn | Codefinity
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ML Introduction with scikit-learn

ML Introduction with scikit-learn

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.

Course

Gain insight into a topic and learn the fundamentals

4.6

(35)

Intermediate
Recommended experience
33 chapters
Flexible schedule
Learn at your own pace
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What you will learn
  • 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.
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There are 6 modules in this course

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.

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Why people choose Codefinity for their career

Kwizera Mugisha

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

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

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

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

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

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.

Learner reviews

4.6

35 reviews

5

74%

4

14%

3

11%

2

0%

1

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Showing 3 of 35 reviews

Author

Kos Kokos

5

Reviewed on Oct 15, 2024

Author

Vadym Korol

5

Reviewed on Oct 13, 2024

Very nide explanation, concise, only important things

Author

Patricio Miguel Pontón

5

Reviewed on Oct 8, 2024

Recommended if you're interested in learning Python

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AI-Assisted Learning

Embrace the fascination of Tech Skills! Our AI-assistant provides real-time feedback, personalized hints, and error explanations, empowering you to learn with confidence.

AI-Assisted Learning
Workspaces

With Workspaces, you can create and share projects directly on our platform. We've prepared templates for your convenience

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Learning tracks

Take control of your career development and commence your path into mastering the latest technologies

Learning tracks
Real-world projects

Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers

Real-world projects

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