Course Description
Explore critical machine learning (ML) and deep learning concepts and the various categorizations of algorithms and their implementations using Python.
Learning Objectives
AI and ML Solutions with Python: Machine Learning and Data Analytics
- describe the core concepts of machine learning
- identify the critical features and comparable features of machine learning and deep learning
- recognize the correlation and comparable features of machine learning and AI
- set up the development environment for machine learning using Python
- list the various types and techniques of analytics
- identify the essential benefits of predictive and descriptive analytics
- define the various data metrics that are used to quantify the data for analytics
- classify the various algorithms used in supervised learning
- demonstrate how to implement regression algorithm
- load data set, create data frames, and print the shape of data frames