Actual Rate Prediction: Extension in Real Estate Prediction using Machine Learning
Archana Singh, Prachi Bhatnagar, Narendra Singh, Manoj Kumar Sharma, Gaurav Kumar, Mahima Shankar Pandey, Nidhi Bansal
Abstract
Machine learning algorithms always perform well to solve real-life problems encountered in daily life. Due to large data sets, analysis is also becoming too complex to predict anything. A lot of calculations are being done to find the exact patterns and values to get accurate results. Here machine learning algorithms are giving tremendous performance while applying various classification techniques as it gives algorithms based on specifications for different aspects. In different cities, forecasting is necessary as people must move from one place to another due to the pandemic situation. A case study has also been conducted with real estate real data by applying machine learning algorithms. A new model has also been implemented with Jupyter Notebook in the proposed paper and has received some positive feedback.