Description

1) Python Coding

2) Classic ML - What projects you have worked and what algorithm you used and why. Getting deeper into nuisances of the ML Algorithm

3) Classical ML & Stats

4) Data Engineering

5) Production Deployment of ML Models

6) NLP Preferred.

7) DL Preferred.

Education

Any Gradute