Application of Classification Algorithms
Ratings
Level
Learning hours
Learners
Skills you’ll Learn
About this course
The Classification algorithm is a Supervised Learning technique that is used to identify the category of new observations on the basis of training data. In Classification, a program learns from the given dataset or observations and then classifies new observation into a number of classes or group. In this video you will learn about comparison between some of the most common and popular classification algorithms and see the factors that lead to comparison. You will also, see how to evaluate each and every algorithm’s performance based on a case study and finally summarize everything. So, if you feel the need to dig deeper into Real time application of classification algorithm, sit tight as we bring to you all the information you need right on your screens.
Course Outline
This module covers the most common interview questions on the Naïve Bayes algorithm such as its definition, the meaning of naïve in Naïve Bayes, its advantages, and comparison with other theorems. You will also understand its real-world applications, decision trees, and its relation with logistic regression.
This section explains logistic regression, its advantages and disadvantages, concordance, and difference between logit and logistic regression. Later you will understand the term error, collinearity, predictive modelling, and the importance of logistic regression. You will also understand to evaluate a logistic regression model.
This section discusses a well-known method of supervised learning which is the Decision Tree. You will also understand the advantages of using a decision tree. Later on, the tutor will cover some important questions based on regression in decision trees, random forest algorithms, gradient-boosted decision trees, unbalanced data, and tools used to draw decision trees.
Hive is a data warehouse used to support interaction between the user and HDFS. This course will give you a demonstration using sample problem statements for your better understanding.
What our learners enjoyed the most
Skill & tools
68% of learners found all the desired skills & tools
Ratings & Reviews of this Course
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Will I get a certificate after completing this Application of Classification Algorithms free course?
Yes, you will get a certificate of completion for the Application of Classification Algorithms after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
How much does this Application of Classification Algorithms course cost?
It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of the Application of Classification Algorithms can get started with this course.
Is there any limit on how many times I can take this free course?
Once you enroll in the Application of Classification Algorithms course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
Can I sign up for multiple courses from Great Learning Academy at the same time?
Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.
Recommended Free Machine Learning courses
Related Machine Learning Courses
-
Johns Hopkins University
Certificate Program in AI Business Strategy10 week · Online
Know More
-
Walsh College
MS in Artificial Intelligence & Machine Learning2 Years · Online
Know More
-
MIT Professional Education
No Code AI and Machine Learning: Building Data Science Solutions12 Weeks · Online · Weekend
Learn from MIT FacultyKnow More
Popular Upskilling Programs
-
University of Texas - McCombs
PG Program in Artificial Intelligence and Machine Learning7 months · Online · Weekend
Know More
-
MIT Professional Education
No Code AI and Machine Learning: Building Data Science Solutions12 Weeks · Online · Weekend
Learn from MIT FacultyKnow More
-
MIT Professional Education
Applied Data Science Program12 Weeks · Live Virtual · Weekdays & Weekend
Know More
-
12 weeks · Online · Weekend
Learn from MIT FacultyKnow More
-
University of Texas - McCombs
PG Program in Data Science and Business Analytics7 Months · Online · Weekend
Know More
-
University of Texas - McCombs
PG Program in Cloud Computing6 months · Online · Weekend
360° Cloud LearningKnow More
-
University of Texas - McCombs
Post Graduate Program in User Experience Design6 Months · Online
Know More
