7604 Open source projects that are alternatives of or similar to Covid19 Dashboard

Feature exploration for supervised learning

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

中文 Python 笔记

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

An ongoing list of pandas quirks

The "Python Machine Learning (2nd edition)" book code repository and info resource

Quiz & Assignment of Coursera

A jupyter notebook serverextension providing config interfaces for nbextensions.

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

Python tools for data analysis

CoCalc: Collaborative Calculation in the Cloud

Introduction to Data Science

深度学习在推荐系统中的应用及论文小结。

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

model-describer : Making machine learning interpretable to humans

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

Human Activity Recognition (HAR) with Keras and CoreML

Completed assignments and coding challenges from the Lambda School Data Science program.

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

A Python implementation of Sky Region Detection in a Single Image for Autonomous Ground Robot Navigation (Shen and Wang, 2013)

Introduction to pandas Treehouse course

Demo of PySpark and Jupyter Notebook with the Jupyter Docker Stacks

An (old) and unstructured (messy tbh) collection of programming exercises.

Out-of-box Data Science / AI platform | AI/数据科学的瑞士军刀

Materials for a Python Beginner's Course. First given at the Royal Society of Biology. Designed and delivered by Chas Nelson and Mikolaj Kundegorski.

Dato Fútbol repository

The blog post about Kubeflow, including all materials

PyMC3 educational resources

Google Colaboratory Notebooks and Repositories (by @firmai)

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

Verteego Data Suite

Ansible role to setup jupyterhub server (deprecated)

Python pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage

ML.NET Workshop to predict car sales prices

brief introduction to Python for machine learning

Jupyter magics and kernels for working with remote Spark clusters

Automatic extraction of relevant features from time series:

A free tutorial for Apache Spark.

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

Documentation and samples for ArcGIS API for Python

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

Open Machine Learning Course

.NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

Learn advanced data science on real-life, curated problems

A Julia machine learning framework

[RETIRED] See Voilà as a supported replacement

Python Helper library for Jupyter Notebooks

Computer vision sabbatical study materials

A system for assigning and grading notebooks

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

My solution to the book A Collection of Data Science Take-Home Challenges

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Resources for weekly Data Science Lunch & Learns

L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge