What you would learn in Machine Learning & Data Science for IT Professionals course?
This course was created by industry professionals in machine learning and experienced teachers.
The course is convenient and mixes theory and practice videos. All code and jupyter notebooks used throughout are available for download. The course begins with Regression and then moves on to Exploratory Data Analysis before we move on to Classification, Clustering, and finally, Classification.
You'll learn how to create models and the right ways to analyze your data, identify issues, and validate your models.
You will be able to:
Exploratory Data Analysis allows you to analyze a new set of data.
Visualizations and summary statistics can be generated
Recognize outliers and be capable of handling missing data
You will be able to use: jupyter and pandas, seaborn, matplotlib. scipy.
Build Linear Regression models – Ordinary Least Squares
Non-linear regression models can be built - SVM and Decision Trees, Random Forest