Problem statement: The goal is to understand the relationship between house features and how these variables affect the house price. Using more than one model, predict the price of the house using the given dataset. Please compare the accuracy of the models along with the drawbacks of each technique's assumptions before recommending the final prediction model.
insights Number of convenience stores is positive corelated Distance from nearest Metro station (km) is negitive corelatrd if we increase number of convenience store or decrease distance from nearest metro station price will increase.
random forest is best model in this project with 70% mean accurecy score