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Kaggle

Intro to Machine Learning

via Kaggle

Overview

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Learn the core ideas in machine learning, and build your first models.
  • The first step if you're new to machine learning.
  • Load and understand your data.
  • Building your first model. Hurray!
  • Measure the performance of your model, so you can test and compare alternatives.
  • Fine-tune your model for better performance.
  • Using a more sophisticated machine learning algorithm.
  • Enter the world of machine learning competitions to keep improving and see your progress.

Syllabus

  • How Models Work
  • Basic Data Exploration
  • Your First Machine Learning Model
  • Model Validation
  • Underfitting and Overfitting
  • Random Forests
  • Machine Learning Competitions

Taught by

DanB

Reviews

5.0 rating, based on 2 Class Central reviews

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  • this course is really useful for beginners in machine learning with no idea about it, put it need a little experience in python so you can understand what's happening, you will learn and understand two models [ Decision tree, random forest ] an easy beginning in machine learning models, also you will understand what overfitting is, underfitting, how to arranging, clearing your data.
  • Profile image for Manveer Singh Wadhwa
    Manveer Singh Wadhwa
    3
    Best course for starting your machine learning but you have to be sure that you know how to work with libraries like pandas and numpy.

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