Python for AI #3: How to Train a Machine Learning Model with Python

Python for AI Development Course #3: Today, we will learn how to train your first ML model with the data we prepared in the previous lesson. We will again use Jupyter Notebooks with Python and for the Machine Learning model training, we will use Scikit-learn.

Get the code here: https://github.com/AssemblyAI/youtube-tutorials/blob/main/Data%20preparation%20and%20model%20training.ipynb

Get the data: https://www.kaggle.com/datasets/usdot/flight-delays

Python for AI Course: https://youtube.com/playlist?list=PLcWfeUsAys2lpJzESyeRUVvJlU6ycjr-b

Get your Free Token for AssemblyAI👇
https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_mis_36

00:00 Introduction
00:40 What can you do with Scikit-learn
03:25 Splitting the data into train and test
05:03 Imbalanced learn
07:28 Choosing the right ML model
08:47 Training the model
11:15 Evaluating the model
16:19 Model tuning
19:48 Cross-validation
22:00 Wrap-up

▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬

🖥️ Website: https://www.assemblyai.com
🐦 Twitter: https://twitter.com/AssemblyAI
🦾 Discord: https://discord.gg/Cd8MyVJAXd
▶️ Subscribe: https://www.youtube.com/c/AssemblyAI?sub_confirmation=1
🔥 We’re hiring! Check our open roles: https://www.assemblyai.com/careers

▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

#MachineLearning #DeepLearning

source