Crop Yield prediction using machine learning | Design to Deployment

#MachineLearning,#Flask,#LinearRegression,#CropPrediction This project is all about crop yield prediction using different regression models. I have used different models for regression and achieved accuracy till 99.99% using the random forest regression model ,you can use this model on any datasets. you are not required to change the model because i have used 4/5 regression models to achieve best accuracy. This project is the combination of all the concepts such as python,Machine Learning models,data visualization, Html, Css,and flask web server and further this model can be deployed on the different platforms such as docker and amazon Ec2.