Ementorhub

Skills you'll gain

Applied Machine Learning

Random Forest Algorithm

Statistical Analysis

Data Analysis

Regression Analysis

Classification And Regression Tree (CART)

Machine Learning

Data Mining

Supervised Learning

Predictive Analytics

Decision Tree Learning

Unsupervised Learning

Feature Engineering

Statistical Methods

Exploratory Data Analysis

Predictive Modeling

There are 4 modules in this course

Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering. By completing this course, you will learn how to apply, test, and interpret machine learning algorithms as alternative methods for addressing your research questions.

Random Forests

Lasso Regression

K-Means Cluster Analysis