{"id":143464,"date":"2024-09-23T11:03:41","date_gmt":"2024-09-23T05:33:41","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=143464"},"modified":"2026-06-01T14:39:33","modified_gmt":"2026-06-01T09:09:33","slug":"home-price-prediction-application-in-machine-learning","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/home-price-prediction-application-in-machine-learning\/","title":{"rendered":"House Price Prediction Application in Machine Learning"},"content":{"rendered":"

Program 1<\/h3>\n

Machine Learning Dataset<\/strong><\/a><\/p>\n

import pandas as pd\r\nimport numpy  as np\r\nimport matplotlib.pyplot as plt\r\nfrom sklearn import linear_model\r\nmydf=pd.read_excel(\"homeprice.xlsx\")   # Data Frame with Area and Price\r\nprint(mydf)\r\nplt.xlabel('Area')\r\nplt.ylabel('Price')\r\nplt.scatter(mydf.area,mydf.price,color='blue',marker='*')\r\nplt.show()\r\nmymodel=linear_model.LinearRegression()\r\nmynewdf=mydf.drop('price',axis='columns')  # Data Frame with Area\r\nmymodel.fit(mynewdf,mydf.price)\r\narea_df=pd.read_excel(\"homearea.xlsx\")\r\nprint(area_df)\r\npred=mymodel.predict((area_df))\r\nprint(pred)\r\narea_df['Price']=pred\r\nprint(area_df)\r\narea_df.to_excel(\"newprediction.xlsx\")\r\n\r\n\r\n# ar=int(input(\"Enter area for Price prediction\"))\r\n# print(\"Preditected Price is:\",mymodel.predict([[ar]]))\r\n\r\n\r\n# print(\"Coficient(\u03b2): \",mymodel.coef_)\r\n# print(\"Intercept(\u03b1): \",mymodel.intercept_)\r\n# # y=\u03b1+\u03b2*area\r\n# print(\"Manual Price for 5000 sqft:\",mymodel.intercept_ + mymodel.coef_*5000)\r\n# print(\"Model is Trained now\")\r\n# print(mymodel)\r\n#print(\"This is new Data Frame\")\r\n#print(mynewdf)\r\n#print(mymodel)\r\n<\/pre>\n
 
Program 1 Machine Learning Dataset import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn import linear_model mydf=pd.read_excel(“homeprice.xlsx”) # Data Frame with Area and Price print(mydf) plt.xlabel(‘Area’) plt.ylabel(‘Price’) plt.scatter(mydf.area,mydf.price,color=’blue’,marker=’*’) plt.show()...<\/p>\n","protected":false},"author":581,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36],"tags":[33132,33130,8431,33129,33127,33128,33131],"class_list":["post-143464","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-home-price-prediction","tag-home-price-prediction-application-in-machine-learning","tag-machine-learning","tag-machine-learning-home-price-prediction-application","tag-machine-learning-practical","tag-machine-learning-program","tag-machine-learning-program-on-home-price-prediction"],"yoast_head":"\nHouse Price Prediction Application in Machine Learning - DataFlair<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/home-price-prediction-application-in-machine-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"House Price Prediction Application in Machine Learning - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 Machine Learning Dataset import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn import linear_model mydf=pd.read_excel("homeprice.xlsx") # Data Frame with Area and Price print(mydf) plt.xlabel('Area') plt.ylabel('Price') plt.scatter(mydf.area,mydf.price,color='blue',marker='*') plt.show()...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/home-price-prediction-application-in-machine-learning\/\" \/>\n<meta property=\"og:site_name\" content=\"DataFlair\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataFlairWS\/\" \/>\n<meta property=\"article:published_time\" content=\"2024-09-23T05:33:41+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-06-01T09:09:33+00:00\" \/>\n<meta name=\"author\" content=\"DataFlair Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:site\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"DataFlair Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"House Price Prediction Application in Machine Learning - 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