Machine Learning for Data Analysis

Archived

Cours

Anglais

10 h

(1 avis1)

Vous ne pouvez pas accéder à un cours au statut archivé.

Source

Sur www.coursera.org

Conditions

À son rythme
Accès libre
Certificat payant

Plus d'informations

4 séquences
Niveau Introductif

Vous ne pouvez pas accéder à un cours au statut archivé.

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Détails du cours

Déroulé

Week 1 - Decision Trees
In this session, you will learn about decision trees, a type of data mining algorithm that can select from among a large number of variables those and their interactions that are most important in predicting the target or response variable to be explained. Dec...
Week 2 - Random Forests
In this session, you will learn about random forests, a type of data mining algorithm that can select from among a large number of variables those that are most important in determining the target or response variable to be explained. Unlike decision trees, th...
Week 3 - Lasso Regression
Lasso regression analysis is a shrinkage and variable selection method for linear regression models. The goal of lasso regression is to obtain the subset of predictors that minimizes prediction error for a quantitative response variable. The lasso does this by...
Week 4 - K-Means Cluster Analysis
Cluster analysis is an unsupervised machine learning method that partitions the observations in a data set into a smaller set of clusters where each observation belongs to only one cluster. The goal of cluster analysis is to group, or cluster, observations int...

Prérequis

Aucun.

Intervenants

Jen Rose
Research Professor
Psychology

Lisa Dierker
Professor
Psychology

Éditeur

At Wesleyan, distinguished scholar-teachers work closely with students, taking advantage of fluidity among disciplines to explore the world with a variety of tools. The university seeks to build a diverse, energetic community of students, faculty, and staff who think critically and creatively and who value independence of mind and generosity of spirit.

Plateforme

Coursera est une entreprise numérique proposant des formations en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.