Predictive Analytics
Just like a child, machines LEARN & BECOME!
Offers
- Developing regression, classification, and clustering models for effective business planning and decision-making.
- Developing time-series regression models for sales forecasting and customer churn prediction.
- Building transformers, pipelines, feature engineering, and feature importance to build efficient models.
- Performing model evaluation, hyper-parameter tuning, and cross-validations.
- Deploying machine learning models to production to be consumed by business users.
Tools
- Scikit Learn
- Pandas
- Numpy
- Matplotlib
- Seaborn