Data Science
Build a predictive model for employee attrition on Python
Is there anything that Python can't solve? Nope. Build a predictive model in the hot field of HR analytics here.
Certified by
Role
Data Scientist
Industry
E-commerce
No. of Subscribers
71
Level
Intermediate
Time Commitment
Submit First Draft in 30 days
Duration
60 days
Tools you’ll learn
Here’s What You Work On
About the Company
Avetti commerce designs online marketplaces for companies based on their needs and budget. From B2B to D2C and everything in between, they have the right solution for you! With the globalisation of marketplaces, e-commerce platforms have the potential to transform a business's profitability. Avetti Commerce helps companies realise their digital transformation goals with their comprehensive and flexible online marketplace designs.
Explore
the following work techniques
Exploratory Data analysis with Python
Data Cleaning and wrangling with Python
Plotting in Python (Data Visualization)
CRISP-DM Framework
Bridging the gap
In order to retain their employees, companies have to go above and beyond to meet their needs and expectations. Staying on top of the employee sentiment and addressing it can be a challenging task for the HR team. HR analytics or people analytics makes this simpler and far more efficient than ever before. This helps track employee behaviour and identify trends in the same. This way, HR can make an engagement plan that not only satisfies the employees but delights them!
Apply
the following skills
Data preparation
Evaluation
Model formulation
Expected output
In this menternship, you will create a machine learning mode that takes attrition data of a global technology firm and predicts attrition in the future.
Create
the following deliverables
ML Models for the Problem, Plotting ROC Curves
Exploratory Data analysis report
What you’ll need before starting
Machine learning models, Python
