8646 Open source projects that are alternatives of or similar to Data Science

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

General Assembly's 2015 Data Science course in Washington, DC

Quiz & Assignment of Coursera

Curso de Data Science em Português

Stock for Deep Learning and Machine Learning

Visualizer for pandas data structures

A Python library for easy data analysis, visualization, exploration and modeling

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Data augmentation for NLP

Create HTML profiling reports from pandas DataFrame objects

repo for code published on pythondata.com

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.

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

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

🛠 All-in-one web-based IDE specialized for machine learning and data science.

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

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

Resources for weekly Data Science Lunch & Learns

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.

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

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

Curated list of Python resources for data science.

📢 Ready to learn or review your knowledge!

A Portfolio of my Data Science Projects

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Materials for GWU DNSC 6279 and DNSC 6290.

Applying Data Science and Machine Learning to Solve Real World Business Problems

💫 Industrial-strength Natural Language Processing (NLP) in Python

An open-source, low-code machine learning library in Python

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

A collection of notebooks for Natural Language Processing from NLP Town

Efficient Learning of Augmentation Policy Schedules

Rumale is a machine learning library in Ruby

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Support content for my blog

repo with challenge material for riceteacatpanda (2020)

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

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

A list of conferences connected with data worldwide.

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.

Web scrapping and related analytics using Python tools

NFStream: a Flexible Network Data Analysis Framework.

Multi-class confusion matrix library in Python

Best Practices, code samples, and documentation for Computer Vision.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

🧬 A JupyterLab extension for annotating data with Prodigy

Best Practices on Recommendation Systems

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

Roadmap to becoming an Artificial Intelligence Expert in 2021

Time Series Forecasting Best Practices & Examples

Collection of Artificial Intelligence projects.

Library to scrape and clean web pages to create massive datasets.

A high-level machine learning and deep learning library for the PHP language.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques