BIKE BUYER PREDICTION

Bike Buying System is an appearing approach of the transport in the global. Industries are trying to structure a bike share system. Previously they botched to use data analytics genuinely. That forecast the utilize such system that will be kind for the customers to plan their journey. There may be a chance that bike stores can be filled or vacant when a traveler comes to the store. The dependent variable can be categorized into levels, so this problem falls under Classification algorithms in machine learning. To predict the output or dependent variable in Classification algorithms, have different algorithms. They are Logistic Regression, KNN (k-Nearest Neighbor), Linear SVM, Gaussian SVM, Decision tree, Random forest. By comparing various algorithms results, we produce best accuracy.