495 Open source projects that are alternatives of or similar to monthly-returns-heatmap

Better heatmaps in Python

Present your data as an effective and compelling story

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

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

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

Open Machine Learning Course

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

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

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

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

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

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 New, Interactive Approach to Learning Data Visualization

Plot categorical heatmaps with seaborn

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

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

Openstack Foundation Openstack Certified Administrator exam Preparation

Awesome Spectral Indices in Python.

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

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

A JavaScript library for batch analyzing chess games

daily report of @ARKInvest ETF activity + data collection

No description or website provided.

⭐ An anomaly-based intrusion detection system.

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

Run-length encoded arrays for pandas.

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

No description or website provided.

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

Making it easier to build stable, trustworthy data-science pipelines.

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

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

挑战杯 - 广州白云机场人流量时空分布预测系统 - 前端

Python Tutorials for Data Science

A value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts

Student materials and handouts for Excel to Python course

Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)

WebGL Heatmap Viewer for Big Data and Bioinformatics

Instant Kubernetes-Native Application Observability

Generate Heat map in Qt.

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

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

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

A fast, forgiving GTFS reader built on pandas DataFrames

Love your Data. Love the Environment. Love VULKИ.

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

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

Time Series Decomposition techniques and random forest algorithm on sales data

Python ETL(Extract-Transform-Load) tool / Data migration tool

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

Google Classroom Data Pipeline

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

Pandas Msgpack

No description or website provided.

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

Pycon 2021 Tutorial to help Spreadsheet (Excel) Users learn Python

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.

A collection of Jupyter notebooks exploring different datasets.

Read/Write pandas DataFrames with Tableau Hyper Extracts

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