Dataproc templates and pipelines for solving simple in-cloud data tasks
-
Updated
Sep 5, 2024 - Python
The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Dataproc templates and pipelines for solving simple in-cloud data tasks
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
My data science daily tasks + related university course content
This Python script uses the win32com module to automate Microsoft Excel and convert an Excel worksheet into a PDF file.
GitHub Pages and VScode to create a custom html website and host my data analytics projects portfolio - 2024
A collection of python notebooks to show off as a portfolio.
Boxes.py - laser cutting boxes and more
Hate speech detection using ML employs machine learning algorithms to analyze and identify offensive or discriminatory language in textual content, enabling automated monitoring and mitigation of harmful online communication
Market basket analysis using Pandas and next order prediction by XGBoost
Developer dashboard for LizardByte repositories, built using Jupyter.
It is for a QOSF mentorship program where I solved the task 1 and 2 which was regarding comparing two numbers, and another to find out that the given input is a rectangle, Also a note that Float numbers are not included, fractions are not allowed as an input
Early access to new features for Microsoft Fabric's Semantic Link.
Explore data analysis projects with Python, Jupyter and more tools. Discover stunning visualizations and reveal meaningful information in datasets to make informed decisions.
Visualizer for pandas data structures
Robust Clustering on High-Dimensional Data with Stochastic Quantization
Acquiring theoretical and practical knowledge of effective work with data using the Python programming language, understanding of methods of data processing, analysis and visualization, as well as the use of data to make informed decisions in software development.
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
Try GMT, PyGMT, and GMT.jl online! All in one place!
This is project for early detection of BREST CANCER.
Export Spotify playlists using the Web API. Analyze them in the Jupyter notebook.
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 9 days ago