AI and ML Solutions with Python: Machine Learning and Data Analytics Overview/Description Expected Duration Lesson Objectives Course Number Expertise Level Overview/Description Explore critical machine learning (ML) and deep learning concepts and the various categorizations of algorithms and their implementations using Python.
Expected Duration (hours)
1.1
Lesson 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
Course Number: it_sdpyai_01_enus
Expertise Level
Intermediate