{"id":14819,"date":"2019-06-19T20:07:58","date_gmt":"2019-06-20T00:07:58","guid":{"rendered":"http:\/\/bangla.salearningschool.com\/recent-posts\/tools-regression-data-science-and-analytics\/"},"modified":"2020-02-08T09:40:47","modified_gmt":"2020-02-08T14:40:47","slug":"tools-regression-data-science-and-analytics","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=14819","title":{"rendered":"Tools : Regression: Data Science and Analytics:"},"content":{"rendered":"

Online Multiple Linear Regression
\nhttp:\/\/www.xuru.org\/rt\/mlr.asp<\/a>
\n—
\nHow to Identify the Most Important Predictor Variables in Regression Models
\nhttps:\/\/blog.minitab.com\/blog\/adventures-in-statistics-2\/how-to-identify-the-most-important-predictor-variables-in-regression-models<\/a>
\n—
\nHow to Interpret Regression Analysis Results: P-values and Coefficients
\nhttps:\/\/blog.minitab.com\/blog\/adventures-in-statistics-2\/how-to-interpret-regression-analysis-results-p-values-and-coefficients<\/a>
\n—
\nWhy You Need to Check Your Residual Plots for Regression Analysis: Or, To Err is Human, To Err Randomly is Statistically Divine
\nhttps:\/\/blog.minitab.com\/blog\/adventures-in-statistics-2\/why-you-need-to-check-your-residual-plots-for-regression-analysis<\/a>
\n—<\/p>\n

Multiple Linear Regressions Analysis
\nGood Part: You can do Residual Analysis
\nCons: only 4 variables, and have to enter data manually
\nhttp:\/\/home.ubalt.edu\/ntsbarsh\/business-stat\/otherapplets\/MultRgression.htm<\/a><\/p>\n

—
\nMinitab provides the tools you need to analyze data and find meaningful solutions to your toughest business problems.
\nhttp:\/\/www.minitab.com\/en-us\/products\/minitab\/<\/a>
\n—
\nDoing in Excel
\nhttp:\/\/www.real-statistics.com\/multiple-regression\/multiple-regression-analysis\/multiple-regression-analysis-excel\/<\/a>
\n—
\nMultiple Regression Analysis
\nhttp:\/\/www.real-statistics.com\/multiple-regression\/multiple-regression-analysis\/<\/a>
\n—
\n"Stata is the solution for your data science needs. Obtain and manipulate data. Explore. Visualize. Model. Make inferences. Collect your results into reproducible reports."
\nhttps:\/\/www.stata.com\/<\/a>
\n—<\/p>\n

Sure, you can write Python\/R code or Use SPSS, SAS, Matlab or similar
\nEXCEL: Access and Activating the Data Analysis Toolpack
\nhttp:\/\/cameron.econ.ucdavis.edu\/excel\/ex01access.html<\/a>
\n—
\n"Control your data, extend your reach, improve your processes, grow your revenue"
\nhttp:\/\/www.statgraphics.com\/<\/a>
\n—
\n"Statistix 10Data analysis software for researchers"
\nhttps:\/\/www.statistix.com\/<\/a>
\n—
\nSYSTAT 13.2 \u2013 Powerful Statistical Analysis and Graphics Software
\nhttps:\/\/systatsoftware.com\/products\/systat\/<\/a>
\n—
\nGlobal No.1 Business Data Platform
\nhttps:\/\/www.statista.com\/<\/a>
\n—<\/p>\n

Sayed Ahmed<\/p>\n

Linkedin: https:\/\/ca.linkedin.com\/in\/sayedjustetc<\/a><\/p>\n

Blog: http:\/\/sitestree.com<\/a>, http:\/\/bangla.salearningschool.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Online Multiple Linear Regression http:\/\/www.xuru.org\/rt\/mlr.asp — How to Identify the Most Important Predictor Variables in Regression Models https:\/\/blog.minitab.com\/blog\/adventures-in-statistics-2\/how-to-identify-the-most-important-predictor-variables-in-regression-models — How to Interpret Regression Analysis Results: P-values and Coefficients https:\/\/blog.minitab.com\/blog\/adventures-in-statistics-2\/how-to-interpret-regression-analysis-results-p-values-and-coefficients — Why You Need to Check Your Residual Plots for Regression Analysis: Or, To Err is Human, To Err Randomly is Statistically Divine https:\/\/blog.minitab.com\/blog\/adventures-in-statistics-2\/why-you-need-to-check-your-residual-plots-for-regression-analysis — Multiple … <\/p>\n

Continue reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1910,182],"tags":[],"class_list":["post-14819","post","type-post","status-publish","format-standard","hentry","category-ai-ml-ds-rl-dl-nn-nlp-data-mining-optimization","category---blog","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":14820,"url":"http:\/\/bangla.sitestree.com\/?p=14820","url_meta":{"origin":14819,"position":0},"title":"How to Interpret your Regression Results","author":"Sayed","date":"June 19, 2019","format":false,"excerpt":"How to Interpret your Regression Results Goal: How to Identify the Most Important Predictor Variables in Regression Models https:\/\/blog.minitab.com\/blog\/adventures-in-statistics-2\/how-to-identify-the-most-important-predictor-variables-in-regression-models --- --- How to Interpret Regression Analysis Results: P-values and Coefficients https:\/\/blog.minitab.com\/blog\/adventures-in-statistics-2\/how-to-interpret-regression-analysis-results-p-values-and-coefficients --- Regression Analysis: How to Interpret the Constant (Y Intercept) https:\/\/blog.minitab.com\/blog\/adventures-in-statistics-2\/regression-analysis-how-to-interpret-the-constant-y-intercept --- How to Compare Regression Slopes: How to\u2026","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25041,"url":"http:\/\/bangla.sitestree.com\/?p=25041","url_meta":{"origin":14819,"position":1},"title":"How to Interpret your Regression Results #Root","author":"Author-Check- Article-or-Video","date":"April 15, 2021","format":false,"excerpt":"How to Interpret your Regression Results Goal: How to Identify the Most Important Predictor Variables in Regression Models https:\/\/blog.minitab.com\/blog\/adventures-in-statistics-2\/how-to-identify-the-most-important-predictor-variables-in-regression-models --- --- How to Interpret Regression Analysis Results: P-values and Coefficients https:\/\/blog.minitab.com\/blog\/adventures-in-statistics-2\/how-to-interpret-regression-analysis-results-p-values-and-coefficients --- Regression Analysis: How to Interpret the Constant (Y Intercept) https:\/\/blog.minitab.com\/blog\/adventures-in-statistics-2\/regression-analysis-how-to-interpret-the-constant-y-intercept --- How to Compare Regression Slopes: How to\u2026","rel":"","context":"In "FromSitesTree.com"","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16218,"url":"http:\/\/bangla.sitestree.com\/?p=16218","url_meta":{"origin":14819,"position":2},"title":"Resources including Research papers for Dietary pattern and Kidney Diseases","author":"Sayed","date":"September 26, 2019","format":false,"excerpt":"Resources including Research papers for Dietary pattern and Kidney Diseases Also, includes topics related to data analysis [1] The National Institute of Diabetes and Digestive and Kidney Diseases. What Is Chronic Kidney Disease? https:\/\/www.niddk.nih.gov\/health-information\/kidney-disease\/chronic-kidney-disease-ckd\/what-is-chronic-kidney-disease [2] Jaimon T. K., Suetonia C. P., Shu N. W., Marinella R., Juan-Jesus C., Katrina L.\u2026","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16619,"url":"http:\/\/bangla.sitestree.com\/?p=16619","url_meta":{"origin":14819,"position":3},"title":"Math\/Stat\/CS\/DS Topics that you need to know (with Cognitive, Psychomotor, Affective domain skills) to become a true and great Data Scientist","author":"Sayed","date":"January 7, 2020","format":false,"excerpt":"\"The core topics are cross-validation, shrinkage methods (ridge regression, the LASSO, etc.), neural networks, gradient boosting, separating hyperplanes, support vector machines, basis expansion and regularization (e.g., smoothing splines, wavelet smoothing, kernel smoothing), generalized additive models, bump hunting, multivariate adaptive regression splines (MARS), self-organizing maps, mixture model-based clustering, ensemble learning, and\u2026","rel":"","context":"In "Math and Statistics for Data Science, and Engineering"","block_context":{"text":"Math and Statistics for Data Science, and Engineering","link":"http:\/\/bangla.sitestree.com\/?cat=1908"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":14810,"url":"http:\/\/bangla.sitestree.com\/?p=14810","url_meta":{"origin":14819,"position":4},"title":"SQL Server (SSAS): Data Mining: Data Science: Data Analytics: Prediction: Neural Networks : Linear\/Logistics Regression","author":"Sayed","date":"June 15, 2019","format":false,"excerpt":"SQL Server Analysis Service: Data Mining Algorithms (Analysis Services - Data Mining) https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/data-mining-algorithms-analysis-services-data-mining?view=sql-server-2017 -- Microsoft Association Algorithm https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/microsoft-association-algorithm?view=sql-server-2017 -- Association Model Query Examples https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/association-model-query-examples?view=sql-server-2017 -- Microsoft Clustering Algorithm https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/microsoft-clustering-algorithm?view=sql-server-2017 Clustering Model Query Examples https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/clustering-model-query-examples?view=sql-server-2017 -- Microsoft Time Series Algorithm https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/microsoft-time-series-algorithm?view=sql-server-2017 --- Time Series Model Query Examples https:\/\/docs.microsoft.com\/en-us\/sql\/analysis-services\/data-mining\/time-series-model-query-examples?view=sql-server-2017 --- Microsoft Neural\u2026","rel":"","context":"In "AI ML DS RL DL NN NLP Data Mining Optimization"","block_context":{"text":"AI ML DS RL DL NN NLP Data Mining Optimization","link":"http:\/\/bangla.sitestree.com\/?cat=1910"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16701,"url":"http:\/\/bangla.sitestree.com\/?p=16701","url_meta":{"origin":14819,"position":5},"title":"Misc. 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