{"id":143469,"date":"2024-09-25T11:34:49","date_gmt":"2024-09-25T06:04:49","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=143469"},"modified":"2025-06-24T15:07:33","modified_gmt":"2025-06-24T09:37:33","slug":"salary-prediction-of-employees-in-machine-learning","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/salary-prediction-of-employees-in-machine-learning\/","title":{"rendered":"Salary Prediction of Employees in Machine Learning"},"content":{"rendered":"

Program 1<\/h3>\n

Employee Dataset<\/strong><\/a><\/p>\n

# ML Model for Salary Predication\r\n\r\nimport pandas as pd\r\nimport numpy as np\r\nimport matplotlib.pyplot as mlt\r\nfrom sklearn import  linear_model\r\nmydf=pd.read_excel(\"D:\/\/MLFile\/employee.xlsx\")\r\nprint(mydf)\r\nmymodel=linear_model.LinearRegression()\r\nmymodel.fit(mydf.drop('salary',axis='columns'),mydf.salary)\r\nex=float(input(\"Enter an Experience: \"))\r\nprint(\"Predicated Salary: \",mymodel.predict([[ex]]))\r\nalpha=mymodel.intercept_\r\nbeta=mymodel.coef_\r\nprint(\"Formula Predication: \",(alpha+beta*ex))\r\nmydf_exp=pd.read_excel(\"D:\/\/MLFile\/empexperience.xlsx\")\r\nprint(mydf_exp)\r\npredsal=mymodel.predict((mydf_exp))\r\nprint(\"-------------------------------------------------\")\r\nmydf_exp['Salary']=predsal\r\nprint(mydf_exp)\r\nmydf_exp.to_excel(\"D:\/\/MLFile\/newempData.xlsx\")\r\nmlt.scatter(mydf_exp.experience,mydf_exp.Salary,color=\"green\",marker=\"+\")\r\nmlt.plot(mydf_exp.experience,mydf_exp.Salary,color=\"red\")\r\nmlt.xlabel(\"Years of Experience\")\r\nmlt.ylabel(\"Salary(In Rupees)\")\r\nmlt.show()\r\nprint(\"Predication Done Successfully............\")<\/pre>\n
 
Program 1 Employee Dataset # ML Model for Salary Predication import pandas as pd import numpy as np import matplotlib.pyplot as mlt from sklearn import linear_model mydf=pd.read_excel(“D:\/\/MLFile\/employee.xlsx”) print(mydf) mymodel=linear_model.LinearRegression() mymodel.fit(mydf.drop(‘salary’,axis=’columns’),mydf.salary) ex=float(input(“Enter an Experience: “))...<\/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":[8431,33127,33128,33135,33136,33133,33134],"class_list":["post-143469","post","type-post","status-publish","format-standard","hentry","category-machine-learning","tag-machine-learning","tag-machine-learning-practical","tag-machine-learning-program","tag-machine-learning-program-on-salary-prediction","tag-salary-prediction","tag-salary-prediction-of-employees-in-machine-learning","tag-salary-prediction-using-machine-learning"],"yoast_head":"\nSalary Prediction of Employees 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\/salary-prediction-of-employees-in-machine-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Salary Prediction of Employees in Machine Learning - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 Employee Dataset # ML Model for Salary Predication import pandas as pd import numpy as np import matplotlib.pyplot as mlt from sklearn import linear_model mydf=pd.read_excel("D:\/\/MLFile\/employee.xlsx") print(mydf) mymodel=linear_model.LinearRegression() mymodel.fit(mydf.drop('salary',axis='columns'),mydf.salary) ex=float(input("Enter an Experience: "))...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/salary-prediction-of-employees-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=\"2024-09-25T06:04:49+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-24T09:37:33+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":"Salary Prediction of Employees 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\/salary-prediction-of-employees-in-machine-learning\/","og_locale":"en_US","og_type":"article","og_title":"Salary Prediction of Employees in Machine Learning - DataFlair","og_description":"Program 1 Employee Dataset # ML Model for Salary Predication import pandas as pd import numpy as np import matplotlib.pyplot as mlt from sklearn import linear_model mydf=pd.read_excel(\"D:\/\/MLFile\/employee.xlsx\") print(mydf) mymodel=linear_model.LinearRegression() mymodel.fit(mydf.drop('salary',axis='columns'),mydf.salary) ex=float(input(\"Enter an Experience: \"))...","og_url":"https:\/\/data-flair.training\/blogs\/salary-prediction-of-employees-in-machine-learning\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2024-09-25T06:04:49+00:00","article_modified_time":"2025-06-24T09:37:33+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\/salary-prediction-of-employees-in-machine-learning\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/salary-prediction-of-employees-in-machine-learning\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"Salary Prediction of Employees in Machine Learning","datePublished":"2024-09-25T06:04:49+00:00","dateModified":"2025-06-24T09:37:33+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/salary-prediction-of-employees-in-machine-learning\/"},"wordCount":11,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["machine learning","machine learning practical","machine learning program","machine learning program on salary prediction","salary prediction","salary prediction of employees in machine learning","salary prediction using machine learning"],"articleSection":["Machine Learning Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/salary-prediction-of-employees-in-machine-learning\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/salary-prediction-of-employees-in-machine-learning\/","url":"https:\/\/data-flair.training\/blogs\/salary-prediction-of-employees-in-machine-learning\/","name":"Salary Prediction of Employees in Machine Learning - 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