Machine Learning with Python: Foundations

Offered By: LinkedIn Learning

Tags

Machine Learning Courses Data Analysis Courses Data Visualization Courses Python Courses Supervised Learning Courses Unsupervised Learning Courses Reinforcement Learning Courses Classification Courses Data Preprocessing Courses

Course Description

Overview

Learn the basics of machine learning and how you can create a machine learning model with Python.

Syllabus

Introduction

Machine learning in our world
What you should know
The tools you need
Using the exercise files

1. Machine Learning

What is machine learning?
What is not machine learning?
What is unsupervised learning?
What is supervised learning?
What is reinforcement learning?
What are the steps to machine learning?

2. Collecting Data for Machine Learning

Things to consider when collecting data
How to import data in Python

3. Understanding Data for Machine Learning

Describe your data
How to summarize data in Python
Visualize your data
How to visualize data in Python

4. Preparing Data for Machine Learning

Common data quality issues
How to resolve missing data in Python
Normalizing your data
How to normalize data in Python
Sampling your data
How to sample data in Python
Reducing the dimensionality of your data

5. Types of Machine Learning Models

Classification vs. regression problems
How to build a machine learning model in Python
Common machine learning algorithms

Conclusion

Next steps with applied machine learning

Taught by

Frederick Nwanganga

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