/DS-Portfolio

My DS Portfolio

Primary LanguageJupyter Notebook

My Data Science Portfolio

Projects

1. IBM HR Analytics Employee Attrition & Performance

See classifier-employee_attrition.ipynb

Predict attrition of your valuable employees

  • It was developed a classifier that could predict which employees are more likely to quit.

  • ML methods used:

    • Logistic Regression Classifier (Log Reg)
    • Artificial Neural Network (ANN)
    • Random Forest Classifier

2. NYC Bank Market Segmentation

See clusterization-Marketing_Segmentation.ipynb

Knowing the customers and identifing their needs. Dividing the customers into at least 3 distintive groups.

  • ML methods used:
    • K-Means + Elbow Method
    • Principal Component Analysis (PCA)
    • Autoencoders