Welcome to Day 8 of Kaggle 30 Days of Machine Learning.
In this video, I will walk through Lesson 1 and Lesson 2 of the Kaggle Intro to Machine Learning course.
In Lesson 1, we will cover the basics of machine learning, specifically looking at the structure of a decision tree model as well as how it works.
In Lesson 2, on the other hand, we will learn some basic data exploration techniques using the Pandas library in Python.
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Kaggle 30 Days of ML
https://www.kaggle.com/thirty-days-of-ml
Kaggle Intro to Machine Learning micro-course
https://www.kaggle.com/learn/intro-to...
My article on decision trees and ensemble methods (random forest & gradient boosting)
https://towardsdatascience.com/battle...
Video series on how to get started with the Pandas library
https://towardsdatascience.com/pandas...
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