Machine learning based prediction of house price

Abstract

Getting a house of our wishes within our budget in a residential area of our customization is quite a tedious process. In order to overcome this, we have developed a model to get a houses of our interest with religious belief and budget this Implemented model is of linear regression and k nearest neighbor’s algorithm with gradient descent optimization to make an optimal model for predicting house prices using the dataset. Performed feature engineering and selection using lasso and ridge penalties to eliminate features which had little or no impact on the residual sum of squares error. Then exposes Jupyter notebook cells as REST Endpoints to make prediction with new information. Finally, we are trying to send email alert to the concern user to give alert of the house price

Preparation and Evaluation of Lipstick From Natural Pigment (Beta Vulgaris L)

“…Beauty care products have turned into an indispensable piece of each and every lady's life. Home grown beauty care products will be items which are planned involving different admissible corrective fixings in which at least one natural fixings are utilized to give particular restorative advantages 3,4 . They are additionally called as natural beauty care products.…”