Linear Regression vs Logistic Regression | Data Science Training | Edureka

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** Data Science Certification using R: **
This Edureka video on Linear Regression Vs Logistic Regression covers the basic concepts of linear and logistic models. The following topics are covered in this session:
(01:05) Types of Machine Learning
(03:09) Regression Vs Classification
(05:47) What is Linear Regression?
(09:22) What is Logistic Regression?
(13:26) Linear Regression Use Case
(15:02) Logistic Regression Use Case
(16:18) Linear Regression Vs Logistic Regression

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3. Understand the Data Analysis Life Cycle

4. Work with different data formats like XML, CSV and SAS, SPSS, etc.

5. Learn tools and techniques for data transformation

6. Understand Data Mining techniques and their implementation

7. Analyze data using machine learning algorithms in R

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9. Implement various Machine Learning Algorithms in Apache Mahout

10. Gain insight into data visualization and optimization techniques

11. Explore the parallel processing feature in R

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Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

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5. Information Architects who want to gain expertise in Predictive Analytics

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7. Hadoop Professionals who want to learn R and ML techniques

8. Analysts wanting to understand Data Science methodologies.

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