Model Quoted prices for Industrial tube Assemblies
Name : ABUBAKKAR SIDDIQUE
USN : 1II17CS001
Internal Guide : Mr. Anand Kumar B (Head of Dept. and Associate Prof. IIT)
External Guide : Mr. Durga Naveen
Stream : Computer Science and Engineering
Academic Year : 2017 - 2021
College : ISLAMIAH INSTITUTE OF TECHNOLOGY
Abstract of the Project
Capillary Tubes used as an expansion device in small refrigerating and air-conditioning systems. The governing equation based on conservation of mass, energy and momentum is modelled. The developed model is used as an effective tool for studying the effects of relevant parameters on Capillary tube length and developing the correlation.
The goal of this project is to develop a machine learning model and predict the price of industrial tube assemblies that Capillary is to integrate with system models working with alternative refrigerants for practical design and optimization.
Importing all required libraries of Project
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from time import time
%matplotlib inline
pd.options.display.max_columns = 200
#Boosting
from time import time
from sklearn.metrics import mean_squared_error
from sklearn.ensemble import GradientBoostingRegressor