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Machine Learning In Python Environment
3-4hrs
beginner levelMachine Learning in the Python Environment is a free online course that introduces you to the fundamental methods at the core of modern machine learning. This Python machine learning tutorial covers how to install Python environments, declare Python variables, the theoretical foundations of supervised and unsupervised learning, and the important processes involved in building a classification model using scikit-learn.
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Machine Learning In Python Environment
This free online course describes setting up a Python machine learning environment and how to declare Python variables.
Machine Learning in the Python Environment is a free online course that introduces you to the fundamental methods at the core of modern machine learning. This Python machine learning tutorial covers how to install Python environments, declare Python variables, the theoretical foundations of supervised and unsupervised learning, and the important processes involved in building a classification model using scikit-learn.
Course description
Course moduleA short ad will play before each lesson.
Module 16 Lessons
Introduction to Machine Learning
This module introduces the process of machine learning. It outlines some examples as well as the uses of machine learning. Supervised learning, unsupervised learning, and reinforcement learning will be discussed. Learn how to install Anaconda and how to declare the python variables. You will be taught the uses and examples of Tuples.
1.Learning Outcomes
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2.Getting Started
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3.Python Environment
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4.Python Variables
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5.Tuples And Modules
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6.Lesson Summary
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Module 26 Lessons
Building A Classification Model
Module 31 Lessons
Course assessment
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