WebbAs a data scientist and machine learning expert, I possess a diverse set of skills that enable me to create insightful visualizations and make data-driven decisions. With proficiency in 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈, 𝐓𝐚𝐛𝐥𝐞𝐚𝐮, 𝐒𝐐𝐋, 𝐚𝐧𝐝 𝐄𝐱𝐜𝐞𝐥, I can efficiently analyze and present … WebbIBM dataset is predicted using threemachine learning algorithms viz. Logistic Regression, Random Forest, and Artificial Neural Networks. Kashyap and Kriti (2024), used the IBM employee dataset and that the characteristics of found out employees like Job Role, overtime, job level affect the attrition largely. They implemented various

HR Analytics: Insights on Employee Attrition - YouTube

WebbHR Analytics in Tableau - YouTube 0:00 / 46:27 Introduction HR Analytics in Tableau The Information Lab 16.7K subscribers Subscribe 528 48K views 3 years ago See how … WebbIBM has gathered information on employee satisfaction, income, seniority, and some demographics: Dataset Structure: 1470 observations (rows), 35 features (variables) Data Type: two datatypes in this dataset: objects and integers Imbalanced dataset: 1233 (84% of cases) employees did not leave the organization while 237 (16% of cases) did leave … family business association of california

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WebbWe will be using Kaggle's IBM HR Analytics Employee Attrition & Performance dataset for this analysis, and it has 35 features with 1470 rows of employee data. Further, there are no missing values in this dataset. Let's take a look at the dataset: Webb25 jan. 2024 · Answering the who, what, and why questions – and combing the data to see other similarities and differences between employees who stayed versus those who left – is the foundation of employee attrition analytics. An effective employee retention model must be built on the solid footing of the data; otherwise, actions intended to impact ... http://inseaddataanalytics.github.io/INSEADAnalytics/groupprojects/January2024/AnalysisofHR[1].html family business advisors boston