Study Guide

Objectives

The student is able to create and use Machine Learning Algorithms in Python. The student learns how to make predictions and analysis and knows which Machine Learning model to choose for each type of problem.

Content

Data Preprocessing, Machine Learning models like classification and regression, Python Libraries for Data Science.

Prerequisites

Big Data Systems, Basic knowledge of programming

Assessment criteria, satisfactory (1-2)

Student is able to conduct data Pre-processing for different datasets with guidance. Student knows about machine Learning models like classification and regression. Student is able to exploit some Python Libraries for Data Science with guidance.

Assessment criteria, good (3-4)

Student is able to conduct data Pre-processing for different datasets. Student knows and understands machine Learning models like classification and regression. Student is able to exploit Python Libraries for Data Science.

Assessment criteria, excellent (5)

Student is able to independently conduct diversely data Pre-processing for various datasets. Student knows and understands in depth machine Learning models like classification and regression. Student is able to exploit diversely Python Libraries for Data Science in various situations.