The IBM HR Analytics Employee Attrition & Performance dataset from the Kaggle. I have first performed Exploratory Data Analysis on the data using various libraries like pandas,seaborn,matplotlib etc.. Then I have plotted used feature selection techniques like RFE to select the features. The data is then oversampled using the SMOTE technique in order to deal with the imbalanced classes. Also the data is then scaled for better performance. Lastly I have trained many ML models from the scikit-learn library for predictive modelling and compared the performance using Precision, Recall and other metrics.

kaggle ibm hr analytics challenge

#HR Analytics #People Analytics #Churn Prediction #Employment issue #Supervised Learning #IBM Datasets #Kaggle

Kaggle IBM Analytics https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-attrition-dataset

Challenge Kaggle || IBM HR Analytics Employee Attrition & Performance

Analysed employee attrition patterns and identified important factors influencing attrition, using fictional data set on Kaggle : https://www.kaggle.com/datasets/pavansubhasht/ibm-hr-analytics-attrition-dataset

Dataset Analysis and Preprocessing: Download the IBM HR Analytics Employee Attrition & Performance dataset from a reputable source (e.g., Kaggle). Analyze the dataset to understand its structure and features. It contains various attributes related to employee demographics, job roles, satisfaction levels, performance ratings, etc., along with a targ

IBM HR Analytics Employee Attrition & Performance

Uncover the factors that lead to employee attrition and explore important questions such as ‘show me a breakdown of distance from home by job role and attrition’ or ‘compare average monthly income by education and attrition’. This is a fictional data set created by IBM data scientists and shared on Kaggle.

Employee Attrition using IBM HR Analytics (Kaggle)

Kaggle IBM HR Analytics Employee Attrition & Performance

kaggle data: IBM HR Analytics Employee Attrition & Performance (https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-attrition-dataset)

Employee Attrition Analysis| Machine Learning in Python

Kaggle project - IBM HR Analytics Employee Attrition & Performance

IBM HR Analytics Employee Attrition & Performance from Kaggle

HR Analytics Project based on IBM HR Analytics Dataset on Kaggle

IBM HR Analytics Employee Attrition & Performance dataset : https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-attrition-dataset

Kaggle Project: A predictive model is built which uncovers the factors of employee attrition in IBM

HR Analytics exploration using the IBM HR Analytics Employee Attritition Dataset on kaggle:

https://www.kaggle.com/datasets/pavansubhasht/ibm-hr-analytics-attrition-dataset

The IBM HR Analytics Employee Attrition & Performance dataset from the Kaggle.

Repository for Kaggle: IBM HR Analytics project (Employee Attrition and Performance)

https://www.kaggle.com/datasets/pavansubhasht/ibm-hr-analytics-attrition-dataset

https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-attrition-dataset/data

Regression analysis and visualization of IBM people analytics data (src: Kaggle)

Demo of HR Analytics using https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-attrition-dataset

Exploration of Machine Learning Algorithms using Kaggle's IBM HR Analytics dataset.

https://www.kaggle.com/datasets/pavansubhasht/ibm-hr-analytics-attrition-dataset/data

Dataset reference: https://www.kaggle.com/datasets/pavansubhasht/ibm-hr-analytics-attrition-dataset

[project in process] IBM HR Analytics Employee Attrition & Performance Dataset from Kaggle.com