In this course, you’ll be learning various supervised ML algorithms and prediction tasks applied to different data. You’ll learn when to use which model and why, and how to improve the model performances. We will cover models such as linear and logistic regression, KNN, Decision trees and ensembling methods such as Random Forest and Boosting, kernel methods such as SVM.阅读更多.
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Introduction to Machine Learning: Supervised Learning 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。
