{"id":143508,"date":"2024-09-30T14:17:04","date_gmt":"2024-09-30T08:47:04","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=143508"},"modified":"2025-06-24T15:25:53","modified_gmt":"2025-06-24T09:55:53","slug":"how-to-save-trained-model-using-pickle-in-machine-learning","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/how-to-save-trained-model-using-pickle-in-machine-learning\/","title":{"rendered":"How to Save Trained Model using Pickle 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\nfrom sklearn import  linear_model\r\nimport pickle\r\ndf=pd.read_excel(\"D:\/\/scikit_data\/emp\/employee.xlsx\")\r\nprint(df)\r\nmodel=linear_model.LinearRegression()\r\nmodel.fit(df.drop('salary',axis='columns'),df.salary)\r\nprint(model)\r\nprint(\"Predication with Model: \",model.predict([[7]]))\r\nprint(\"Coficient with Model: \",model.coef_)\r\nprint(\"Intercepet with Model: \",model.intercept_)\r\nmyfile1=open(\"pickle_model\",\"wb\")\r\npickle.dump(model,myfile1)\r\nmyfile1.close()\r\nprint(\"----------Model Dump in file--------------\")\r\nprint(\"Load Model\")\r\nmyfile2=open(\"pickle_model\",\"rb\")\r\nmymodel=pickle.load(myfile2)\r\nprint(mymodel)\r\nprint(\"Predication with my model: \",model.predict([[7]]))\r\nprint(\"Coficient with my model: \",model.coef_)\r\nprint(\"Intercepet with my model: \",model.intercept_)\r\nmyfile2.close()<\/pre>\n
 
Program 1 Machine Learning Dataset import pandas as pd import numpy as np from sklearn import linear_model import pickle df=pd.read_excel(“D:\/\/scikit_data\/emp\/employee.xlsx”) print(df) model=linear_model.LinearRegression() model.fit(df.drop(‘salary’,axis=’columns’),df.salary) print(model) print(“Predication with Model: “,model.predict([[7]])) print(“Coficient with Model: “,model.coef_) print(“Intercepet with...<\/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":[33179,8431,33127,33128,33181,33182,33180],"class_list":["post-143508","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-how-to-save-trained-model-using-pickle-in-machine-learning","tag-machine-learning","tag-machine-learning-practical","tag-machine-learning-program","tag-machine-learning-program-on-save-trained-model-using-pickle","tag-pickle","tag-save-trained-model-using-pickle-in-machine-learning"],"yoast_head":"\nHow to Save Trained Model using Pickle 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\/how-to-save-trained-model-using-pickle-in-machine-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Save Trained Model using Pickle in Machine Learning - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 Machine Learning Dataset import pandas as pd import numpy as np from sklearn import linear_model import pickle df=pd.read_excel("D:\/\/scikit_data\/emp\/employee.xlsx") print(df) model=linear_model.LinearRegression() model.fit(df.drop('salary',axis='columns'),df.salary) print(model) print("Predication with Model: ",model.predict([[7]])) print("Coficient with Model: ",model.coef_) print("Intercepet with...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/how-to-save-trained-model-using-pickle-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=\"2024-09-30T08:47:04+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-24T09:55:53+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":"How to Save Trained Model using Pickle in Machine Learning - DataFlair","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/data-flair.training\/blogs\/how-to-save-trained-model-using-pickle-in-machine-learning\/","og_locale":"en_US","og_type":"article","og_title":"How to Save Trained Model using Pickle in Machine Learning - DataFlair","og_description":"Program 1 Machine Learning Dataset import pandas as pd import numpy as np from sklearn import linear_model import pickle df=pd.read_excel(\"D:\/\/scikit_data\/emp\/employee.xlsx\") print(df) model=linear_model.LinearRegression() model.fit(df.drop('salary',axis='columns'),df.salary) print(model) print(\"Predication with Model: \",model.predict([[7]])) print(\"Coficient with Model: \",model.coef_) print(\"Intercepet with...","og_url":"https:\/\/data-flair.training\/blogs\/how-to-save-trained-model-using-pickle-in-machine-learning\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2024-09-30T08:47:04+00:00","article_modified_time":"2025-06-24T09:55:53+00:00","author":"DataFlair Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"DataFlair Team","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/how-to-save-trained-model-using-pickle-in-machine-learning\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/how-to-save-trained-model-using-pickle-in-machine-learning\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"How to Save Trained Model using Pickle in Machine Learning","datePublished":"2024-09-30T08:47:04+00:00","dateModified":"2025-06-24T09:55:53+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/how-to-save-trained-model-using-pickle-in-machine-learning\/"},"wordCount":15,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["how to save trained model using pickle in machine learning","machine learning","machine learning practical","machine learning program","machine learning program on save trained model using pickle","pickle","save trained model using pickle in machine learning"],"articleSection":["Machine Learning Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/how-to-save-trained-model-using-pickle-in-machine-learning\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/how-to-save-trained-model-using-pickle-in-machine-learning\/","url":"https:\/\/data-flair.training\/blogs\/how-to-save-trained-model-using-pickle-in-machine-learning\/","name":"How to Save Trained Model using Pickle in Machine Learning - 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