Unlock the secrets of machine learning with this captivating collection of tutorials from LabEx. Explore a diverse range of topics, from feature importance analysis to density estimation, and unlock the full potential of your data. Whether you're a seasoned data scientist or a curious beginner, these hands-on labs will guide you through the latest techniques and equip you with the skills to tackle real-world challenges.
Permutation Importance on Breast Cancer Dataset 🎀
Dive into the world of feature importance with this lab that demonstrates the use of permutation importance on the Wisconsin breast cancer dataset. Discover how to leverage the Random Forest Classifier to classify the data and compute its accuracy on a test set. Additionally, learn how to handle multicollinearity in the features using hierarchical clustering.
Compare Cross Decomposition Methods 📊
Unravel the complexities of multivariate datasets with this lab that explores different cross decomposition algorithms, including PLS Canonical, PLS Regression, and CCA. Gain insights into extracting directions of covariance and unlock the power of these techniques.
Feature Importance With Random Forest 🌳
Dive into the world of feature importance with this lab that uses random forest to evaluate the importance of features on an artificial classification task. Generate a synthetic dataset with only 3 informative features and explore the feature importances of the forest, along with their inter-trees variability.
Curve Fitting With Bayesian Ridge Regression 📈
Unleash the power of Bayesian Ridge Regression in this lab that demonstrates how to fit a polynomial curve to sinusoidal data. Generate sinusoidal data with noise, fit it using a cubic polynomial, and explore the true and predicted curves, as well as the log marginal likelihood (L) of these models.
Density Estimation With Gaussian Mixture Models 🔍
Dive into the world of probability distribution modeling with this lab that uses Gaussian Mixture Models (GMMs) to estimate the density of a dataset. Generate a Gaussian mixture dataset, fit a GMM, and visualize the density estimation of the mixture of Gaussians.
Embark on an extraordinary journey through these captivating machine learning tutorials and unlock the full potential of your data. 🚀 Explore the labs, dive deep into the concepts, and elevate your skills to new heights!
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