Regression Tutorials

• Introduction to Linear Regression
• Correlation and linear regression
• Polynomial Regression Data Fit

Classification

• K Nearest Neighbors - Classification
• A Detailed Introduction to K-Nearest Neighbor (KNN) Algorithm
• Decision Trees - Classification
• Decision Trees Classifier
• Naive Bayesian
• 6 Easy Steps to Learn Naive Bayes Algorithm
• Bayesian Classifiers
• A Beginner’s Guide to Neural Networks and Deep Learning

Clustering

• K-Means Clustering (1)
• K-Means Clustering (2)

Machine Learning with Python

• Machine Learning Algorithms Recipes in scikit-learn
• scikit-learn: KNeighborsClassifier
• scikit-learn: DecisionTreeClassifier
• scikit-learn: Naive Bayes
• scikit-learn: KMeans
• Keras: The Python Deep Learning Library