Free Classification Algorithms Course for Beginners
Application of Classification Algorithms
4.75
Beginner level
2.25 learning hrs
Free classification algorithms training explains supervised learning, logistic regression, Naive Bayes, decision trees, KNN, SVM, preprocessing, model comparison, and evaluation so you can choose methods with clearer judgment.
About this course
When a model must place new observations into the right category, a classification algorithms course gives that decision a clear structure. This free course walks through logistic regression, Naive Bayes, decision trees, random forests, KNN, SVM, preprocessing, and comparison parameters so beginners can understand how models separate observations into classes and why one algorithm may fit a case better than another.
You will also see a promotion problem statement and performance evaluation flow, which helps connect theory with practical model selection. The course is a good fit if you know basic data science terms and want a structured introduction to classification algorithms for beginners before moving into larger machine learning projects, model tuning, Python implementation, or business use cases where prediction accuracy and interpretability matter.
Course outline
Naive Bayes
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.
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.
Decision Tree
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.
Introduction to Hive Hands-On
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.
Support Vector Machines
This section explains the Support Vector Machine with demonstration examples and discusses its applications.
Get access to the complete curriculum once you enroll in the course
4.75
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Frequently Asked Questions
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Why choose Great Learning Academy for this free Application of Machine Learning in Finance course?
Great Learning Academy provides this Application of Machine Learning in Finance course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.
Will I have lifetime access to this free Application of Machine Learning in Finance course?
Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.
What are the steps to enroll in this Application of Machine Learning in Finance course?
Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.
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.
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.
Is there any limit on how many times I can take this free course?
Once you enroll in the Application of Machine Learning in Finance course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
How much does this Application of Machine Learning in Finance course cost?
It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of the Application of Machine Learning in Finance can get started with this course.
Will I get a certificate after completing this Application of Machine Learning in Finance free course?
Yes, you will get a certificate of completion for Application of Machine Learning in Finance after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
Will I have lifetime access to this free Application of Classification Algorithms course?
Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.
What are the steps to enroll in this Application of Classification Algorithms course?
Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.
Why choose Great Learning Academy for this free Application of Classification Algorithms course?
Great Learning Academy provides this Application of Classification Algorithms course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.
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.
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.
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.
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