Machine Learning with Python Full Course Part 3 Types of Machine Learning Models
Machine Learning with Python Full Course Part 3 Types of Machine Learning Models #ml #python
Types of Machine Learning Models
Classification vs. regression problems
How to build a machine learning model in Python
Common machine learning algorithms
Next steps with applied machine learning
Course description
You’ve probably heard about machine learning before, but have you ever wondered what that term really means? How does a machine learn? Have you thought about building a machine learning model, but didn’t know where to start?
In this course, Frederick Nwanganga introduces machine learning in an approachable way and provides step-by-step guidance on how to get started with machine learning via the most in-demand language in use today, Python. Frederick starts with exactly what it means for machines to learn and the different ways they learn, then gets into how to collect, understand, and prepare data for machine learning. He also provides guided examples of how to accomplish each step using Python. Finally, he brings it all together to build, evaluate, and interpret the results of a machine learning model in Python.
Collecting Data for Machine Learning
Things to consider when collecting data(In progress)
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
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Machine Learning With Python Full Course 2024 | Machine Learning Tutorial for Beginners|
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