Machine Learning for Data Analysis

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Machine Learning for Data Analysis

Coursera · Beginner ·📐 ML Fundamentals ·3mo ago

Key Takeaways

Introduces machine learning for data analysis and prediction using predictive algorithms

Original Description

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.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Stop Overfitting With Basically One Line of Code
Learn to prevent overfitting with a simple code tweak and understand the difference between Ridge and Lasso regression
Medium · AI
Stop Overfitting With Basically One Line of Code
Learn to prevent overfitting in machine learning models with a simple code tweak and understand the difference between Ridge and Lasso regression
Medium · Machine Learning
Stop Overfitting With Basically One Line of Code
Prevent overfitting in models with a simple code tweak, understanding the difference between Ridge and Lasso regression
Medium · Data Science
Stop Overfitting With Basically One Line of Code
Learn to prevent overfitting in machine learning models with a simple code tweak, comparing Ridge and Lasso regression techniques
Medium · Python
Up next
Learn Deep Learning by Hand (Beginner's Guide - Part 1)
Thu Vu
Watch →