Machine Learning: Theory and Hands-on Practice with Python

University of Colorado Boulder via Coursera Specialization

Coursera Specialization based on 63 ratings

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Overview

In the Machine Learning specialization, we will cover Supervised Learning, Unsupervised Learning, and the basics of Deep Learning. You will apply ML algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Starting with supervised learning, we will cover linear and logistic regression, KNN, Decision trees, ensembling methods such as Random Forest and Boosting, and kernel methods such as SVM. Then we turn our attention to unsupervised methods, including dimensionality reduction...

Syllabus

Course 1: Introduction to Machine Learning: Supervised Learning- Offered by University of Colorado Boulder. In this course, youll be learning various supervised ML algorithms and prediction tasks applied ... Enroll for free.Course 2: Unsupervised Algorithms in Machine Learning- Offered by University of Colorado Boulder. One of the most useful areas in machine learning is discovering hidden patterns from unlabeled ... Enroll for free.Course 3: Introduction to Deep Learning- Offered by University of Colorado Boulder. Deep Learning is the go-to technique for many applications, from natural language processing to ... Enroll for free.