Machine Learning Pipelines in Python: Step-by-Step Guide with Scikit-Learn

In this video, we’ll explore how to create efficient pipelines using Scikit-Learn to streamline your ML models.

Discover the essential techniques for data encoding, preprocessing, and automating workflows to handle complex datasets like a pro.

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🎬 Timestamps:
00:00 | Machine Learning Pipelines
6:25 | Load the dataset
10:30 | Numerical and Categorical Data
12:15 | Building a ML Pipeline
19:00 | Model Prediction
22:30 | Evaluate the Model

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Tag ~ zero to knowing

#zerotoknowing #learnpython #pythonforbeginners #100daysofcode #techeducation #python #pythontutorial #pythonprogramming #datascience #machinelearning #machinelearningwithpython

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[codewithjoshoffical]

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[almostdaylight]

Josh needs to get to a million subscribers. His teaching style is very very beginner friendly.

[lifestyleafrica]

This is phenomenal brother. I am new to machine learning and pipeline, but the level of explanation you've put in this video makes me feel like I am ready for a machine learning, pipeline interview next week. Bravo to you.

[davidlu]

I have been watching your videos, bro. Keep going, bro.

[mightybear]

Great starter for getting a pipeline built out! Summed it up real nice, thanks!

[hello_universe]

I am new to ML and your video was absolutely helpful and enlightening. The way you explained the material was exceptional. Many thanks and please keep up the amazing work!

[trigobitz]

Bro thanks you ❤ i watch your oop lessons 😊it really help me ❤

[ultimatesound]

Great help, thank you very much! A video dedicated to the types of encoding would be nice at some stage.

[wombaat]

You are the best! thank you for covering this topic

[TheAdventureOfLife]

How am I supposed to know which evaluation metrics to use and when?

[nationfirst-worldaffairs]

Why hindi audio track is not available

[Xarxes]

Do you know what will make people watch your videos?

Cosplay as Woody from toy story

[davidlu]

I do not use dicord does not mean I am not in Google.😆😆😆😉😉😉😁😁😁