RAKSHIT SHRIVASTAVA

Artificial Intelligence enthusiast and BCA undergraduate with a strong foundation in machine learning concepts, including training and testing data on multiple algorithms for improved prediction accuracy. Experienced in basic predictive analysis, loops and decision making, coding loops, deep learning and data-driven problem solving neural networks through academic coursework and hands-on practice. Currently majoring in Artificial Intelligence and actively building practical skills to apply AI techniques in real-world scenarios.

• Training, Validation and Testing dataset with the different algorithms for better accuracy and prediction
• Research Paper on Round Robin Algorithm