Scikit-tutorial

This Repository contains major statistical implementation of statistical machine learning algorithms with a pinch of theory here and there!

You can find a printable webpage of each tutorial below:

• Linear Regression
• Logistic Regression
• Feature Extraction
• Decision Trees and Random Forest
• Clustering with K-Means
• Dimensionality reduction with PCA
• Support Vector Machines
• Perceptron and Artificial Neural Network

An additional tutorial of Numpy-stack can be found here at:

https://github.com/prakharcode/Numpy-stack-tutorial