Python Machine Learning Notebooks (Tutorial style)

You can start with this article that I wrote in Heartbeat magazine (on Medium platform):

"Some Essential Hacks and Tricks for Machine Learning with Python"

Essential tutorial-type notebooks on Pandas and Numpy

Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, matplotlib etc.

• Basics of Numpy array
• Basics of Pandas DataFrame
• Basics of Matplotlib and Descriptive Statistics

Tutorial-type notebooks covering classification

Classification

• Logistic regression/classification

• k-nearest neighbor classification
• Decision trees and Random Forest Classification
• Support vector machine classification (check the article I wrote in Towards Data Science on SVM and sorting algorithm)

• Naive Bayes classification