487 Open source projects that are alternatives of or similar to Interactive-Data-Visualization-with-Python

A New, Interactive Approach to Learning Data Visualization

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

Python Monthly Returns Heatmap (DEPRECATED! Use QuantStats instead)

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

Open Machine Learning Course

JUN - python pandas, plotly, seaborn support & dataframes manipulation over erlang

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Astetik takes away the pain from telling visual stories with data on Python

A jupyter notebook having all most frequent used code snippet for daily data scienceoperations

Repository for the projects needed to complete the Data Analyst Nanodegree.

Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.

D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.

A library for managing, validating, summarizing, and visualizing data.

This is the API Code for my tutorial article. It paints a picture for developing a machine learning Python API from start to finish and provides help in more difficult areas like the setup with AWS Lambda.

Run-length encoded arrays for pandas.

Love your Data. Love the Environment. Love VULKИ.

Tools for exploring reciprocal space

Professional visualizations of COVID-19, emulating NYT, The Guardian, Washington Post, The Economist & others, using only Python & Altair.

Material for the tutorial, "Time series analysis with pandas" at T-Academy

Google Classroom Data Pipeline

A Streamlit component to render interactive Vega, Vega-Lite, and Altair visualizations and access the selected data from Python

No description or website provided.

Read/Write pandas DataFrames with Tableau Hyper Extracts

No description or website provided.

Instant Kubernetes-Native Application Observability

Instagram comment scraper using python and selenium. Save the comments into excel.

Hello DSC Leads, Automate your process of adding attendees manually.

Implementation of linear CorEx and temporal CorEx.

A collection of Jupyter notebooks exploring different datasets.

PdpCLI is a pandas DataFrame processing CLI tool which enables you to build a pandas pipeline from a configuration file.

Student materials and handouts for Excel to Python course

High-level wrapper around BCP for high performance data transfers between pandas and SQL Server. No knowledge of BCP required!!

Library packs for google cloud functions

Time Series Decomposition techniques and random forest algorithm on sales data

Tableau scraper python library. R and Python scripts to scrape data from Tableau viz

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

This repository contains notes and projects of Data scientist track from dataquest course work.

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

Pacote Python para acesso a dados abertos e APIs do governo brasileiro.

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

This is about learning data scientist with Python 2019 and some new updated courses in DataCamp. All the answers given written by myself

Data Quality assessment with one line of code

A phylogenetic profile analysis tool

Tool for visualizing and empirically analyzing information encoded in binary files

A Python package for acquiring both historical and current data of cryptocurrencies

Awesome Spectral Indices in Python.

A log parsing website for Guild Wars 2 combat logs

Simplified tracking of your investments

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

Using Jupyter Notebook with Django: a presentation

Astro allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.

These are the projects I did on my Udacity Deep Learning Nanodegree 🌟 💻 💻. 💥 🌈

Simple podcast MVP

daily report of @ARKInvest ETF activity + data collection

A workshop on data visualization in Python with notebooks and exercises for following along.

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.