The only guide you need to learn everything about GMM

Analysing Helsinki city bike data using H3 hexagons

A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

Practical guidance for time series analysis in Python

Vietnamese text data crawler scripts for various sites (including Youtube, Facebook, 4rum, news, ...)

The Jupyter notebooks behind my my matplotlib tutorials.

All the notebooks that were used to generate Practical Python for Data Science

Analyzing E-commerce data. Customer segmentation using K-means algorithm

Analyzing Weather Data ( visualizations , Regression ) and Netflix Data

Peptide library design

Pure Python implementation of the squarify treemap layout algorithm

Segmentation of customers in online retail databases using Python, including RFM analysis and clustering.

Prettify Python exception output to make it legible.

Time series easier, faster, more fun. Pytimetk.

Pandas styles and conditional formats in dataframes

distfit is a python library for probability density fitting.

This space includes sample SQL queries that have been adjusted and anonymized from the originals to maintain privacy. Included are queries on orders, products, software performance, order statuses,…

Shows how to maximize order success and optimize revenue for our current product based on certain points in our software workflow. This helps identify where the opportunity is to create the biggest…

Simple plotting library that wraps Matplotlib and integrated with DataFrames

A python package for embedding pandas DataFrames as images into pdf and markdown documents

scikit-learn: machine learning in Python

Tutorial on how to perform feature encoding, feature scaling, and missing values imputation using the scikit-learn library

End-to-end ML project on house price prediction