Build your first AI project with Python! 🤖 This beginner-friendly machine learning tutorial uses real-world data.
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💡 What you’ll learn:
– Foundational machine learning concepts.
– How to apply algorithms using Python.
– Work with real-world data for practical results.
👉 This tutorial is perfect for you if:
– You’re curious about AI and machine learning.
– You have basic Python knowledge.
– You want a hands-on learning experience.
Let’s get started!
📖 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
#Python #AI #MachineLearning








This is very much basic
nice
32:55 I got the same result but I also got a warning: "UserWarning: X does not have valid feature names, but DecisionTreeClassifier was fitted with feature names".
it's not broken and seems to work so I just ignore it. But what does it mean?
41:05 did you delete all the other stuff because we were done training the model? or do I still need the "X_train … y_test" stuff in my notebook?
i have a doubt this vedio is for also python for data engineer…? i mean can i go with this python course for data engineer
"I will give you a code, and you make a data science project on it for me."