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Python Machine Learning Tutorial (Data Science)



Programming with Mosh

Python Machine Learning Tutorial – Learn how to predict the kind of music people like.
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#Python, #MachineLearning, #Jupyter

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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35 thoughts on “Python Machine Learning Tutorial (Data Science)
  1. nice video. Do you build AI apps in your own time? Particularly computer vision/ pose estimation. Doesn't seem like there is much on YT at the moment, but only a matter of time.

  2. Some critical updates :
    1) Persisting Models – to import joblib just type import joblib – you do not need to import it from the skearn.externals module

    2) Graphviz dot visualizer in vscode – if the vscode extension by stephanvs does not work, try the one by joao pinto

  3. I'm stuck at the "importing a data set" section, the program doesn't find my vgsales file, though it is right next to the HelloWorld file…

  4. can someone help me with the terminal window. After installing anaconda, after inputting "jupyter notebook" in windows PowerShell, it says that jupyter isnt recognized as anything

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