Ven3s

Ven3s's Stars

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.5k18k

• mmd52/HR_Employee_Attrition

  Predicting employee attrition

  Language:Jupyter Notebook69

• PacktPublishing/Statistics-for-Machine-Learning

  Statistics for Machine Learning, published by Packt

  Language:Python152146

• johnny7861532/Keras----IBM-HR-Analytics-Employee-Attrition-Performance

  IBM HR Attrition predict

  Language:Python11

• carmelgafa/ml-kaggle-ibm-hr

  kaggle ibm hr analytics challenge

  Language:Python23

• mrc03/IBM-HR-Analytics-Employee-Attrition-Performance

  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.

  Language:Jupyter Notebook3725

• RohitDhankar/HR-Analytics_IBM-Watson-Analytics-Sample-Data-Set

  HR Analytics_IBM Watson Analytics Sample Data Set

  Language:Jupyter Notebook32

• bhavsar-dushyant/HR-Analytics-Predict-Employee-Attrition

  3 famous supervised classification techniques to predict Employee attrition - CART, Random Forest and ANN

  Language:R44

• chauhanprateek89/Employee-Attrition

  Using data from IBM Watson, descriptive and predictive analytics using Python and tableau

  Language:Jupyter Notebook123