Prompt: \"Please help me create a framework diagram according to the following requirements.\"Create a machine learning model that can predict the average price of a house based on its features. The specific steps are as follows:Reading data in Python Defining problem statement Identifying target variable Checking the distribution of the target variable Basic Data Exploration Rejecting unnecessary columns Exploratory Data Analysis for data distribution (Histograms and Bar plots) Feature selection based on data distribution Outlier handling Missing value treatment Visual correlation analysis Statistical correlation analysis (Feature Selection) Converting data to numerical for ML Sampling and K-fold Cross Validation Trying multiple regression algorithms Choosing the best model Deploying the best model in production environment
