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:    • Python for AI Developers   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: null 🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #MachineLearning #DeepLearning