beginner
beginner
Improving Machine Learning and Deep Learning Models
Data Science
4 courses
63 practices
Learn how to improve the performance of machine learning and deep learning models through a structured, hands-on path. This series covers model evaluation, regularization, hyperparameter tuning, and neural network optimization using tools like scikit-learn, XGBoost, and PyTorch.
Verified skills you'll gain
DEVELOPING
Machine Learning and Predictive Modeling
INTERMEDIATE
Model Evaluation, Validation, and Selection
INTERMEDIATE
Deep Learning and Neural Networks
Tools you'll use
Python
PyTorch