Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

leonvanbokhorst Last update: Dec 14, 2023

NoteBooks Statistics and Machine Learning

Notebooks as published on unsupervised-learning.com (RIP).

Tags:

data-science

datascience

ipynb

ipynb-jupyter-notebook

machine-learning-algorithms

machinelearning

python

statistics

Owner

leonvanbokhorst

GitHub Repository https://github.com/leonvanbokhorst

Umami Analytics Client for Python

See the usage example below for the Python API around these features. Enjoy.

New generation opensource data stack

This repository contains Docker compose script that creates opensource data analytics stack on your local machine. Currently, the stack consists of multiple components: I plan to add more components …

Climate Analytics using Deep Neural Networks in Python.

ClimateNet is a Python library for deep learning-based Climate Science. It provides tools for quick detection and tracking of extreme weather events. We also expose models, data sets and metrics to j…

The purpose of this repository is to make it as easy as possible to develop and use awesome Panel extensions.

We want to We provide You can install and use the package as simple as. Explore the sample apps Click one of the buttons Thanks I would love to support and receive your contributions. Thanks.

This project helps me to understand the core concepts of Apache Airflow. I have created custom operators to perform tasks such as staging the data, filling the data warehouse, and running checks on the data quality as the final step. Automate the ETL pipeline and creation of data warehouse using Apache Airflow. Skills include: Using Airflow to automate ETL pipelines using Airflow, Python, Amazon Redshift. Writing custom operators to perform tasks such as staging data, filling the data warehouse, and validation through data quality checks. Transforming data from various sources into a star schema optimized for the analytics team’s use cases. Technologies used: Apache Airflow, S3, Amazon Redshift, Python.

For this project, I have build four different operators that will stage the data, transform the data, and run checks on data quality. You will also need to have software installed to run and execute …

Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"

Collection of utility functions used in the book Should this not work, for example when you are behind a firewall, download the package from pypi and install from file, e.g. Adjust the link as requir…

:earth_americas: Analyze and generate reports of web logs (NGINX)

Lala is a Python library for access log analysis. It provides a set of methods to retrieve, parse and analyze access logs (only from NGINX for now), and makes it easy to plot geo-localization or time…

Exploratory data analysis projects on Different datasets to enhance Data Analysis and visualization

A simple package to abstract away the process of creating usable DataFrames for data analytics. This package is heavily inspired by the amazing Python library, Pandas.

A simple package to abstract away the process of creating usable DataFrames for data analytics. This package is heavily inspired by the amazing Python library, Pandas. Utilize the CreateDataFrame fun…

A python project starter template for data-analytics and data-science.

A project template to quick start data analytics and machine learning task. You can connect with me here: