Wes - Machine Learning for Data Analysis

5.0 /5

(2 Ratings)

Offered byCoursera

Machine Learning for Data Analysis
at
Coursera
Overview

Duration	10 hours
Start from	Start Now
Total fee	Free
Mode of learning	Online
Official Website	Explore Free Course
Credential	Certificate

Machine Learning for Data Analysis
at
Coursera
Highlights

Reset flexible deadlines in accordance to your schedule
Earn a Certificate upon completion

Machine Learning for Data Analysis
at
Coursera
Course details

Skills you will learn

SAS Regression Python Data analysis Software Testing

More about this course

Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal
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

Machine Learning for Data Analysis
at
Coursera
Curriculum

Decision Trees

What Is Machine Learning?

Machine Learning and the Bias Variance Trade-Off

What Is a Decision Tree?

What is the Process of Growing a Decision Tree?

Building a Decision Tree with SAS

Strengths and Weaknesses of Decision Trees in SAS

Building a Decision Tree with Python

Some Guidance for Learners New to the Specialization

SAS or Python - Which to Choose?

Getting Started with SAS

Getting Started with Python

Course Codebooks

Course Data Sets

Uploading Your Own Data to SAS

Data Set for Decision Tree Videos (tree_addhealth.csv)

SAS Code: Decision Trees

CART Paper - Prevention Science

Python Code: Decision Trees

Installing Graphviz and pydotplus

Getting Set up for Assignments

Tumblr Instructions

Assignment Example

Random Forests

What Is A Random Forest and How Is It "Grown"?

Building a Random Forest with SAS

Building a Random Forest with Python

Validation and Cross-Validation

SAS code: Random Forests

The HPForest Procedure in SAS

Python Code: Random Forests

Assignment Example

Lasso Regression

What is Lasso Regression?

Testing a Lasso Regression with SAS

Data Management for Lasso Regression in Python

Testing a Lasso Regression Model in Python

Lasso Regression Limitations

SAS Code: Lasso Regression

Python Code: Lasso Regression

Assignment Example

K-Means Cluster Analysis

What Is a k-Means Cluster Analysis?

Running a k-Means Cluster Analysis in SAS, pt. 1

Running a k-Means Cluster Analysis in SAS, pt. 2

Running a k-Means Cluster Analysis in Python, pt. 1

Running a k-Means Cluster Analysis in Python, pt. 2

k-Means Cluster Analysis Limitations

SAS Code: k-Means Cluster Analysis

Python Code: k-Means Cluster Analysis

Assignment Example

Machine Learning for Data Analysis
at
Coursera
Admission Process

Important Dates

May 25, 2024

Course Commencement Date

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Students Ratings & Reviews

5/5

2 Ratings

4-5
2

BIBEK MONDAL

Machine Learning for Data Analysis

Offered by Coursera

Learning Experience: machine learning that teaches the basics of machine learning and how to apply it to real-world data sets. The course covers topics such as decision trees, random forests, k-means clustering, and principal component analysis. The course also provides hands-on exercises using Python and the scikit-learn library.

Faculty: I would recommend this course to anyone who wants to learn more about machine learning and how to use it for data analysis. It is suitable for beginners who have some background in Python and statistics, as well as intermediate learners who want to refresh their knowledge or explore new techniques. The course is well-designed, informative, and fun. I enjoyed this course because it was easy to follow and had clear explanations of the concepts and algorithms. The instructor was engaging and knowledgeable, and the quizzes and assignments were challenging but not too difficult. The course also gave me useful skills and tools that I can use for my own data analysis projects.

Course Support: i cracking a interview in my technical field

Reviewed on 21 Jul 2023Read More