Linear regression with python
Theory and practical examples of linear regression models using Python (Scikit-learn & Statsmodels)
Multiple linear regression with python
Theory and practical examples of multiple linear regression models using Python (Scikit-learn & Statsmodels)
Regularization of linear regression models with Ridge, Lasso, and Elastic Net
Regularization techniques to linear regression models to prevent overfitting and improve model generalization
Logistic regression with python
Theory and practical examples of logistic regression models using python (Scikit-learn & Statsmodels)
Decision trees with python
Theory and practical examples of decision tree models using python
Random forest with python
Theory and practical examples of random forest models using python
Gradient boosting with python
Theory and practical examples of gradient boosting models using python
Machine learning with Python and Scikitlearn
Tutorial on how to create machine learning models with Python and Scikit-learn
Support Vector Machines
Theory and practical examples of Support Vector Machines (SVMs) using Python
Neural Networks with Python
Theory and practical examples of Neural Networks using Python
PCA with python
Theory and practical examples of dimension reduction with Principal Component Analysis models using python
Clustering with python
Theory and practical examples of different clustering algorithms using python
Face Detection and Recognition with Python
Theory and practical examples of Face Detection and Recognition using deep learning models with Python
Introduction to Graphs and Networks
Theory and examples on how to create and analyze networks with NetworkX and Python.
Anomaly Detection with PCA and Python
Anomaly detection using reconstruction error from Principal Component Analysis (PCA) models with Python
Anomaly Detection with GMM
Anomaly detection using Gaussian Mixture Models (GMM) with Python
Anomaly Detection with Isolation Forest
Anomaly detection using Isolation Forest with Python
Make a Donation
If our articles have enhanced your training, advanced your career, or sparked your curiosity, now is the perfect time to give back. Your donation will support our mission to keep knowledge free and accessible to all, while enabling us to create even more valuable content. Together, we can make learning limitless. Support us today 😊😊! PayPal Github Sponsors.
