Advanced Data Science Capstone

IBM

machine-learning   |   Advanced   |   8 Hours

This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and technologies and how they impact model performance and scalability. 

Please note: You are requested to create a short video presentation at the end of the course. This is mandatory to pass. You don't need to share the video in public.

What skills will you gain?

Extract, Transform, Load

Human Learning

use case

Model Selection

process modeling

evaluation

Machine Learning

Feature Engineering

Data Analysis

Python Programming