Comparison of KNN, ANN, CNN and YOLO algorithms for detecting the accurate traffic flow and build an Intelligent Transportation System
K Pavani, P Sriramya - 2022 2nd international conference on …, 2022 - ieeexplore.ieee.org
This main objective of this System is to perform object detection which serves as the
foundation for controlling critical traffic data such as vehicle count, vehicle movements. This …
foundation for controlling critical traffic data such as vehicle count, vehicle movements. This …
Analyzing Ola Data for Precise Price Prediction Using XGBoost Technique Comparing with LASSO Regression
DJ Hemanth - … in Parallel Computing Algorithms, Tools and …, 2022 - books.google.com
XGBoost algorithm and Lasso regression and compare r-square, Mean Square Error (MSE),
Root MSE, and RMSLE values. The algorithm should be efficient enough to produce the …
Root MSE, and RMSLE values. The algorithm should be efficient enough to produce the …
Analyzing Ola Data for Precise Price Prediction Using XGBoost Technique Comparing with LASSO Regression
GVS Taruna, P Sriramyab - 2022 - ebooks.iospress.nl
XGBoost algorithm and Lasso regression and compare r-square, Mean Square Error (MSE),
Root MSE, and RMSLE values. The algorithm should be efficient enough to produce the …
Root MSE, and RMSLE values. The algorithm should be efficient enough to produce the …