Python Machine Learning Tutorial – Learn how to predict the kind of music people like.
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TABLE OF CONTENT

0:00:00 Introduction
0:00:59 What is Machine Learning?
0:02:58 Machine Learning in Action
0:05:45 Libraries and Tools
0:10:40 Importing a Data Set
0:17:01 Jupyter Shortcuts
0:22:53 A Real Machine Learning Problem
0:26:09 Preparing the Data
0:29:15 Learning and Predicting
0:33:20 Calculating the Accuracy
0:39:41 Persisting Models
0:42:55 Visualizing a Decision Tree

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This Machine Learning basics video will help you understand what Machine Learning is, what are the types of Machine Learning – supervised, unsupervised & reinforcement learning, how Machine Learning works with simple examples, and will also explain how Machine Learning is being used in various industries. Machine learning is a core sub-area of artificial intelligence; it enables computers to get into self-learning mode without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. So, the iterative aspect of machine learning is the ability to adapt to new data independently. This is possible as programs learn from previous computations and use “pattern recognition” to produce reliable results.

The below topics are explained in this Machine Learning basics video:
1. What is Machine Learning? ( 00:21 )
2. Types of Machine Learning ( 02:43 )
2. What is Supervised Learning? ( 02:53 )
3. What is Unsupervised Learning? ( 03:46 )
4. What is Reinforcement Learning? ( 04:37 )
5. Machine Learning applications ( 06:25 )

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