2067 Open source projects that are alternatives of or similar to Vizuka

Collection of stats, modeling, and data science tools in Python and R.

model-describer : Making machine learning interpretable to humans

repo for code published on pythondata.com

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Javascript full-stack framework for Big Data visualisation and analysis

📢 Ready to learn or review your knowledge!

PHP-ML - Machine Learning library for PHP

📝 An awesome Data Science repository to learn and apply for real world problems.

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

👨🏽‍🏫You can learn about anything over here. What Giveaways I do and why it's important in today's modern world. Are you interested in Giveaway's?🔋

Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Code for the paper "BIOLITMAP: a web-based geolocated and temporal visualization of the evolution of bioinformatics publications" in Oxford Bioinformatics.

machine learning algorithms in Swift

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

open source for wechat-official-account (ID: PyDataLab)

📊 📋 Dashboards using YAML or JSON files

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Materials for GWU DNSC 6279 and DNSC 6290.

VerticaPy is a Python library that exposes sci-kit like functionality to conduct data science projects on data stored in Vertica, thus taking advantage Vertica’s speed and built-in analytics and machine learning capabilities.

Analyze Data with Pandas-based Networks. Documentation:

Quiz & Assignment of Coursera

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

🍊 📊 💡 Orange: Interactive data analysis

Practical Data Science with Ruby based tools.

Curated list of Python resources for data science.

Companion code for the book "Mastering Social Media Mining with Python"

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

Knowage is the professional open source suite for modern business analytics over traditional sources and big data systems.

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.

NFStream: a Flexible Network Data Analysis Framework.

English and European soccer results 1871-2020

Automated Data Science and Machine Learning library to optimize workflow.

Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository

A proofreader for your data

Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.

pyclustring is a Python, C++ data mining library.

Probably the best curated list of data science software in Python.

ELKI Data Mining Toolkit

Support content for my blog

football (soccer) datasets

Introduction to Data Science

A curated list of data mining papers about fraud detection.

A Dynamic Web Toolbox for Interactive Data Processing, Analysis, and Visualization

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Ultimate Python library for time series analysis and backtesting at scale

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Reproducible Data Science at Scale!

A list of conferences connected with data worldwide.

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

потоковый курс "Машинное обучение и анализ данных (Machine Learning and Data Mining)" на факультете ВМК МГУ имени М.В. Ломоносова

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.