{"id":78242,"date":"2025-05-22T20:35:18","date_gmt":"2025-05-22T20:35:18","guid":{"rendered":"http:\/\/bangla.sitestree.com\/?p=78242"},"modified":"2025-06-08T21:34:01","modified_gmt":"2025-06-08T21:34:01","slug":"statistics-for-data-analytics-and-machine-learning-projects","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=78242","title":{"rendered":"Statistics for Data Analytics and Machine Learning Projects"},"content":{"rendered":"\n

<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u2022Null Hypothesis<\/a><\/a><\/p>\n\n\n\n

\u2022[2]<\/a><\/a><\/p>\n\n\n\n

\u2022Paired t-test<\/a><\/p>\n\n\n\n

\u2022Unpaired t-test<\/a><\/p>\n\n\n\n

\u2022Pearson Correlation<\/p>\n\n\n\n

\u2022One Way: Analysis of variance<\/a><\/p>\n\n\n\n

\u2022Spearman Correlation<\/a><\/p>\n\n\n\n

\u2022Spearman<\/a><\/p>\n\n\n\n

\u2022Kendal Tau Coef<\/p>\n\n\n\n

\u2022Wilcoxon Sum test<\/a><\/p>\n\n\n\n

\u2022Basic EDA<\/a><\/p>\n\n\n\n

<\/p>\n\n\n\n

\u2022Mcnaimer\u2019s test<\/p>\n\n\n\n

\u2022Friedman test<\/p>\n\n\n\n

\u2022Kruskal-Wallis Test<\/p>\n\n\n\n

\u2022Two Way Analysis of variance<\/a><\/p>\n\n\n\n

\u2022K-Fold Cross Validation paired t-test<\/p>\n\n\n\n

\u2022Wilcoxon Signed Rank Test<\/p>\n\n\n\n

<\/p>\n\n\n\n

Data Analytics, Machine Learning, Data Science<\/p>\n","protected":false},"excerpt":{"rendered":"

\u2022Null Hypothesis \u2022[2] \u2022Paired t-test \u2022Unpaired t-test \u2022Pearson Correlation \u2022One Way: Analysis of variance \u2022Spearman Correlation \u2022Spearman \u2022Kendal Tau Coef \u2022Wilcoxon Sum test \u2022Basic EDA \u2022Mcnaimer\u2019s test \u2022Friedman test \u2022Kruskal-Wallis Test \u2022Two Way Analysis of variance \u2022K-Fold Cross Validation paired t-test \u2022Wilcoxon Signed Rank Test Data Analytics, Machine Learning, Data Science<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1974,1],"tags":[],"class_list":["post-78242","post","type-post","status-publish","format-standard","hentry","category-analytics-and-machine-learning-project-development","category-root","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":78187,"url":"http:\/\/bangla.sitestree.com\/?p=78187","url_meta":{"origin":78242,"position":0},"title":"Inductive and Deductive Methods for Data Analytics Projects","author":"Sayed","date":"May 20, 2025","format":false,"excerpt":"Inductive and Deductive Methods for Data Analytics Projects Deductive: Top-down approach. Take existing theories and apply to data Inductive: Bottom-up approach. Observe data and derive a hypothesis. \" Examples in Data Analytics: Inductive: Analyzing customer purchase data to identify recurring patterns in buying habits, which can lead to new marketing\u2026","rel":"","context":"In "Analytics and Machine Learning Project Development"","block_context":{"text":"Analytics and Machine Learning Project Development","link":"http:\/\/bangla.sitestree.com\/?cat=1974"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":78231,"url":"http:\/\/bangla.sitestree.com\/?p=78231","url_meta":{"origin":78242,"position":1},"title":"Make Sense of your Data: For Data Analytics Project","author":"Sayed","date":"May 22, 2025","format":false,"excerpt":"Hypothesis-based versus data-driven analysis \u201cOnly those data analysts who are given time to explore and analyze data thoughtfully and thoroughly are consistently successful.\u201d Data Identification and Prioritization Use Augmented data besides Data Pipeline Analytics Sandbox Characterizing the Data\u2014Exploring a Single Variable Data: Descriptive analysis options Find: Distribution of quantitative variables\u2026","rel":"","context":"In "Analytics and Machine Learning Project Development"","block_context":{"text":"Analytics and Machine Learning Project Development","link":"http:\/\/bangla.sitestree.com\/?cat=1974"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-36.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-36.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-36.png?resize=525%2C300 1.5x, https:\/\/i0.wp.com\/bangla.sitestree.com\/wp-content\/uploads\/2025\/05\/image-36.png?resize=700%2C400 2x"},"classes":[]},{"id":78208,"url":"http:\/\/bangla.sitestree.com\/?p=78208","url_meta":{"origin":78242,"position":2},"title":"Possible Data Analytics Project Goals","author":"Sayed","date":"May 21, 2025","format":false,"excerpt":"\u2022 Examine relations \u2022 Test Hypothesis \u2022 Validate \u2022 Find groups\/classes\/rules \u2022 Learn a policy \u2022 Maximize Reward interactively \u2022 Predict (Class or Value) \u2022 Forecast (numeric, sales) \u2022 Compare \u2022 Classify \u2022 Cluster Data Analytics, Machine Learning, Data Science","rel":"","context":"In "Analytics and Machine Learning Project Development"","block_context":{"text":"Analytics and Machine Learning Project Development","link":"http:\/\/bangla.sitestree.com\/?cat=1974"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":78226,"url":"http:\/\/bangla.sitestree.com\/?p=78226","url_meta":{"origin":78242,"position":3},"title":"Factors\/Variables to Consider For Experimental Design for Data Analytics Projects","author":"Sayed","date":"May 22, 2025","format":false,"excerpt":"Design of experiments fishbone REF: [1]. 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