Develop with Python for AI and Machine Learning
Delve into the world of machine learning with Python. This extensive learning path covers everything from the basics to advanced algorithms, offering both theoretical knowledge and practical experience. Whether you're new to the field or a seasoned pro, this journey will equip you with the skills needed to succeed in real-world applications.
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Gain a foundational understanding of machine learning.
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Gain proficiency in Python for machine learning (ML).
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Master the implementation of supervised learning algorithms.
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Apply ML to real-world scenarios with Python tools.
Courses
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1
Machine Learning with Python: Foundations1h 54mMachine Learning with Python: Foundations
By: Frederick Nwanganga
Learn the basics of machine learning and how you can create a machine learning model with Python.
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2
Machine Learning with Python: Decision Trees1h 14mMachine Learning with Python: Decision Trees
By: Frederick Nwanganga
Learn how to build decision trees in Python to measure impurity within a partition and improve outcomes on machine learning projects.
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3
Machine Learning with Python: Logistic Regression1h 19mMachine Learning with Python: Logistic Regression
By: Frederick Nwanganga
Get an introduction to logistic regression by exploring how to build supervised machine learning models with Python.
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4
Machine Learning with Python: k-Means Clustering50mMachine Learning with Python: k-Means Clustering
By: Frederick Nwanganga
Learn the basics of k-means clustering, one of the most popular unsupervised machine learning approaches.
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5
Machine Learning with Python: Association Rules1h 27mMachine Learning with Python: Association Rules
By: Frederick Nwanganga
Explore the unsupervised machine learning approach known as association rules, as well as a step-by-step guide on how to use the approach for market basket analysis in Python.
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6
Advanced Python Projects: Build AI Applications1h 47mAdvanced Python Projects: Build AI Applications
By: Priya Mohan
Learn the skills and knowledge needed to create a portfolio of Python-based applications and tools that can be showcased to employers or used to bring your own ideas to life.