Day 9 - Your First Machine Learning Model & Model Validation (Intro to ML Lessons 3 & 4) скачать в хорошем качестве

Day 9 - Your First Machine Learning Model & Model Validation (Intro to ML Lessons 3 & 4)

Welcome to Day 9 of Kaggle 30 Days of Machine Learning. In this video, I will walk through Lesson 3 and Lesson 4 of the Kaggle Intro to Machine Learning course. In Lesson 3, we will learn to build our first machine learning model, a decision tree regressor using Scikit-Learn three-step process: instantiate, fit and predict. In Lesson 4, we will learn the difference between in-samples and out-of-samples data when training and validating a model. Furthermore, we are also introduced to mean absolute error (MAE), a metric used to measure the accuracy of model predictions when solving a regression problem. Like and subscribe for more future videos! 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... Follow me Facebook -   / chongjason914   Instagram -   / chongjason914   Twitter -   / chongjason914   Medium -   / chongjason   LinkedIn -   / chongjason914   #Kaggle #30DaysOfML