Gradient Boosting with XGBoost (5/6) | Machine Learning with Python: Zero to GBMs
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💻 Lecture 5 of the Machine Learning with Python: Zero to GBMs course. In this lesson, you will download a real-world dataset from a Kaggle competition and train a gradient boosting model using XGBoost. Course page: https://jovian.ai/learn/machine-learn...
🔗 Notebooks used: https://jovian.ai/aakashns/python-gra...
🎯 Topics Covered
Training and evaluating an XGBoost model
Data normalization and cross-validation
Hyperparameter tuning and regularization
⌚ Time Stamps
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🎤 About the speaker
Aakash N S is the co-founder and CEO of Jovian - a community learning platform for data science & ML. Previously, Aakash has worked as a software engineer (APIs & Data Platforms) at Twitter in Ireland & San Francisco and graduated from the Indian Institute of Technology, Bombay. He’s also an avid blogger, open-source contributor, and online educator.
#GBM #MachineLearning #Python #Certification #Course #Jovian
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