andreasscharnetzki / machinelearningfundamentals

A notebook about commonly used machine learning algorithms.

Based on the Machine Learning Tutorial Series by Dhaval Patel

Machine Learning Fundamentals

A notebook about commonly used machine learning algorithms, containing:

• Univariate Linear Regression
• Multivariate Linear Regression
• Binary & Multiclass Logistic Regression
• Decision Trees
• Support Vector Machines (SVM)
• Random Forest Classifier
• K-Means Clustering
• Naive Bayes Classifier
• L1, L2 Regularization
• K-Nearest Neigbour Classifier (KNN)
• Principal Component Analysis (PCA)
• Bootstrap Aggregation (Bagging)