• Umesh Kumar Sah
• Awantika Singh

There are number of good schools and colleges in India. But most of the students are dropping their education because of various reasons. There are many reasons, some of the students have some financial problem with their family, some of the students don’t have interest towards their next level of education, some think about the gender and some rural areas don’t have good schools and educators. So this proposed method deals whether the students will be going to the next level of higher education or not. This can be decided with the concepts of machine learning which is the subset of artificial intelligence. Machine learning is made up with the concepts of Mathematics and Science. This paper deals with the student’s career prediction by using various machine learning algorithms like Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM) and Adaboost. Machine learning algorithms are implemented by using Python programming language.

Machine Learning Classifier, Support Vector Machine, Adaboost, Random Forest, Decision Tree.

"Review on Student Career Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.g262-g268, April-2022, Available :http://www.jetir.org/papers/JETIR2204639.pdf

"Review on Student Career Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppg262-g268, April-2022, Available at : http://www.jetir.org/papers/JETIR2204639.pdf