• Sk. Sharmila
• R .Veera Babu
• Chandarlapati Likitha
• Marlapati Hemasai
• P.V. Shiva Jhansi Tumma Venkata Deekshitha,

Choosing a college involves many factors. Students often focus on one thing: getting placed. Every college wants a strong placement team to help with this. This research paper aims to make that system better by introducing a student placement prediction system. The main goal? To boost the accuracy of predicting placements. Many factors help us guess if a student will get placed or not. We looked at different machine learning algorithms like Logistic Regression, Random Forest, KNN, and SVM. Each algorithm will be tested on the same database individually so we can see which one works best in terms of accuracy.

CAMPUS PLACEMENT PREDICTION AND ANALYSIS USING RANDOM FOREST CLASSIFIER

"CAMPUS PLACEMENT PREDICTION AND ANALYSIS USING RANDOM FOREST CLASSIFIER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.122-131, November-2024, Available :http://www.jetir.org/papers/JETIRGO06012.pdf

"CAMPUS PLACEMENT PREDICTION AND ANALYSIS USING RANDOM FOREST CLASSIFIER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. pp122-131, November-2024, Available at : http://www.jetir.org/papers/JETIRGO06012.pdf