edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
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Updated
Nov 20, 2019 - Python
edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Finding which apps characteristics contribute the most to apps ratings, using visualizations - IPython Notebook.
Notebook on data exploration with Python using pandas and matplotlib. Analyzing temporal data about customer purchases and analytics. 📊
Notebooks in this repository focus on code related to machine learning topics
This repository contains an additional Python-based Jupyter notebook for Data Visualization Course at the Philipps University Marburg.
We use a tabular dataset which contains health information of patients to predict whether they suffer from a heart disease. Two notebooks are present currently in the repo, one focuses on data preprocessing, exploration and visualisation, while the other focuses on model creation, training and evaluation.
bamboolib - template for creating your own binder notebook
A collection of Jupyter notebooks exploring different datasets.
Exploratory notebooks using the BGG dataset
This repository is put together to perform data analysis tasks that include a collection of Python scripts and Jupyter notebooks. This repository intends to give you a valuable tool for using Python to work with data, whether you're a beginner or an expert in data analysis.
A data exploration project from the University of Michigan that delves into Airbnb listings in New York City. Using Python and Jupyter Notebook, this repository offers visualizations, analyses, and insights into the NYC Airbnb landscape, helping users understand trends, prices, and popular locations.
This project uses Python and Jupyter Notebook to perform Data pre-processing, Data exploration and visualizations and Market Basket Analysis of an bakery café "Bread Basket" in Edinburgh.
Repositório com notebooks de comandos básicos e projetos de Data Mining utilizando python.
This notebook demonstrates timeseries classification for crop identification on a subset of the MiniTimeMatch dataset by training an LSTM model.
This is a repository for Titanic dataset analysis with EDA notebook and Power BI dashboard.
This repository contains notebooks on various datasets as a practice on data analysis, all notebooks include: Data Cleaning. Data Visualization. Exploratory Data Analysis.
Python-based supervised machine learning project.
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