Introduction to Machine Learning for Coders

Overview Learn the most important machine learning models, including how to create them yourself from scratch, as well as key skills in data preparation, model validation, and building data products.

Beginner 0(0 Ratings) 0 Students enrolled English
Created by Admin corner
Last updated Wed, 08-Jun-2022
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Course overview
Lecture Details

Introduction to Random Forests.
Welcome to Introduction to Machine Learning for Coders! Lesson 1 will show you how to create a "random forest" - perhaps the most widely applicable machine learning model - to create a solution to the "Bull Book for Bulldozers" Kaggle competition, which will get you in to the top 25% on the leaderboard. Youll learn how to use a Jupyter Notebook to build and analyze models, how to download data, and other basic skills you need to get started with machine leraning in practice.

Curriculum for this course
12 Lessons 18:45:19 Hours
Lecture
12 Lessons 18:45:19 Hours
  • Lecture 1: Intro to Machine Learning
    Preview 01:17:41
  • Lecture 2: Intro to Machine Learning
    01:34:51
  • Lecture 3: Intro to Machine Learning
    01:23:42
  • Lecture 4: Intro to Machine Learning
    01:40:05
  • Lecture 5: Intro to Machine Learning
    01:38:33
  • Lecture 6: Intro to Machine Learning
    01:41:43
  • Lecture 7: Intro to Machine Learning
    01:28:06
  • Lecture 8: Machine Learning 1
    01:33:45
  • Lecture 9: Machine Learning 1
    01:29:49
  • Lecture 10: Machine Learning 1
    01:39:16
  • Lecture 11: Machine Learning 1
    01:36:06
  • Lecture 12: Machine Learning 1
    01:41:42
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