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Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips

Learn the basics of machine learning step by step through various Kaggle examples, and learn vivid project experiences and practical tips from hard-to-access field machine learning engineers all at once.

(4.6) 22 reviews

311 learners

Kaggle
Machine Learning(ML)
EDA

Reviews from Early Learners

What you will gain after the course

  • Concept of machine learning

  • How to improve machine learning model performance

  • How to use Google Colab

  • Machine learning libraries - scikit-learn, xgboost

  • Machine Learning/Data Analysis Library - Numpy, Pandas

  • Data visualization library - matplotlib, seaborn

  • How to proceed with a machine learning practical project

Learn the basics of machine learning with various Kaggle examples.
Practical tips from working engineers, all in one place! 😀

📌 Brief introduction to the curriculum

0. What is Machine Learning (ML)?

  • Let's get a firm grasp of the concepts of machine learning.

1. A simple practice environment that does not require complex installation.

  • Introducing Google Colab

2. Introduction to scikit-learn & My First Machine Learning Model

  • Let's predict weight based on height.

3. Introduction to Kaggle and Kaggle Competition

4. Linear Regression Algorithm (Ridge, Lasso, ElasticNet) & How Much is My House Worth?

  • Let's predict Boston real estate prices.

5. Random Forest, a popular and powerful predictor

  • Let's predict whether it will rain tomorrow using a machine learning model.

6. XGBoost, the algorithm favored by Kaggle winners

  • Let's predict the occurrence of a stroke using XGBoost.

7. Practical Stories from a Machine Learning Engineer

  • Experience the daily life of a machine learning engineer.

8. Practical DS/ML Tips from Professionals

Kaggle Machine Learning for Beginners: Practical Tips for ML Engineers

  • Through Kaggle projects, you will acquire knowledge related to machine learning (machine learning libraries - Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn, xgboost, etc.) and learn how to apply machine learning in practice.
  • This course is designed to help you learn the fundamentals of machine learning step-by-step through various Kaggle examples, and even provide practical tips for machine learning projects from a machine learning engineer at a major IT company.

Recommended for
these people

Who is this course right for?

  • For those who are new to machine learning

  • Anyone who wants to learn data analysis techniques

  • Anyone who wants to get a job as a machine learning engineer

  • Anyone curious about the work process after getting a job as a machine learning engineer

  • Anyone who wants to get practical tips from machine learning engineers working at large IT companies

Need to know before starting?

  • Basic Python experience

Hello
This is

9,347

Learners

706

Reviews

353

Answers

4.6

Rating

30

Courses

Curriculum

All

60 lectures ∙ (7hr 19min)

Published: 
Last updated: 

Reviews

All

22 reviews

4.6

22 reviews

  • 도전적인 기린님의 프로필 이미지
    도전적인 기린

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    머신러닝의 다양한 알고리즘을 기본적으로 다루는 방법을 익히는데 큰 도움이 되었습니다.

    • AISchool
      Instructor

      안녕하세요. 귀중한 시간을 할애해서 수강해주셔서 감사합니다~!. 상세한 수강평도 감사합니다~. 더 만족스러운 강의를 제작할 수 있도록 노력하겠습니다. 좋은 하루되세요!

  • 조종호님의 프로필 이미지
    조종호

    Reviews 2

    Average Rating 5.0

    5

    18% enrolled

    좋은 강의 감사합니다 기초적인 헤터파일부터 알수있어 좋았습니다!

    • AISchool
      Instructor

      안녕하세요. 귀중한 시간을 할애해서 수강해주셔서 감사합니다~!. 상세한 수강평도 감사합니다~. 더 만족스러운 강의를 제작할 수 있도록 노력하겠습니다. 좋은 하루되세요!

  • infocom1004님의 프로필 이미지
    infocom1004

    Reviews 6

    Average Rating 4.0

    4

    100% enrolled

    잘 들었습니다.

    • AISchool
      Instructor

      안녕하세요. 귀중한 시간을 할애해서 수강해주셔서 감사합니다~!. 상세한 수강평도 감사합니다~. 더 만족스러운 강의를 제작할 수 있도록 노력하겠습니다. 좋은 하루되세요!

  • tjsduq8836님의 프로필 이미지
    tjsduq8836

    Reviews 2

    Average Rating 5.0

    5

    100% enrolled

    머신러닝의 전반적인 흐름 이해에 탁월한 것 같습니다. 어느정도 감을 읽었기 때문에 본격적으로 책을 사서 공부하려고해요. 아마 공부를 더 쉽게 할 것 같아여 감사합니다

    • AISchool
      Instructor

      안녕하세요. 귀중한 시간을 할애해서 수강해주셔서 감사합니다~!. 상세한 수강평도 감사합니다~. 더 만족스러운 강의를 제작할 수 있도록 노력하겠습니다. 좋은 하루되세요!

  • REAL K님의 프로필 이미지
    REAL K

    Reviews 1

    Average Rating 5.0

    5

    30% enrolled

    기초를 잘 잡을 수 있었습니다. 만족해요.

    • AISchool
      Instructor

      안녕하세요. 귀중한 시간을 할애해서 수강해주셔서 감사합니다~!. 상세한 수강평도 감사합니다~. 더 만족스러운 강의를 제작할 수 있도록 노력하겠습니다. 좋은 하루되세요!

$46.20

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