please write housing pricing project in python with using pycharm. if you dont know the solution please don't answer. using pycharm is very important!!!!!

Goals: 1. Estimate the selling price of each house. 2. Minimize the difference between projected and actual rating (RMSE/MSE) 3. Scale the reliability of your model with different metrics of performance (accuracy etc.) Data Overview About the data: 1. Number of data points in training data: 1460 2. Number of features in training data: 81 3. Number of data points in test data: 1459 4. Number of features in test data: 80 Pairing a real world problem with a Machine Leaming Problem: This problem involves estimating the prices of residences, which are permanent and real value outputs. Thus, we can say that this is a regression problem. Performance criterion Use Root Mean Square Error (RMSE) as a performance measure. You can also get help from other criteria. Machine Learning Goal and Constraints: 1. Minimize RMSE 2. Make use of different criteria (accuracy confision matrix etc....) 2. Try to provide some interpretability. Exploratory Data Analysis Exploratory Data Analysis refers to the critical process of performing initial investigations on data to discover patterns, detect anomalies, test hypotheses, and check assumptions with the help of summary statistics and graphical representations. It would be helpful to follow these steps to get a better overview of the data and to find outliers in our dataset. Outliers can occur due to some errors while collecting the data and must be removed so that they do not affect the performance of our model. After data analysis and data preprocessing step, house prices will be estimated by regression techniques. If you are not satisfied with the results you obtained as a result of the measurement techniques you used as a result of the regression, you can draw the data set classification problem into an applicable format and apply the classification algorithms. Note: An additional bonus will be given to the friend who achieves the best result at the end of the year grade. Indicate and show each step of your work on the code. Prepare the project report It is important that the code is readable and a code