7901 Open source projects that are alternatives of or similar to Datascience_course

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

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.

Create HTML profiling reports from pandas DataFrame objects

Multi-class confusion matrix library in Python

Collection of useful data science topics along with code and articles

Python tools for data analysis

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Machine learning fundamentals lesson in interactive notebooks

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

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

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.

Efficient Learning of Augmentation Policy Schedules

Rumale is a machine learning library in Ruby

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.

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

YouTube Like Count Predictions using Machine Learning

Jupyter notebook and datasets from the pandas Q&A video series

a delightful machine learning tool that allows you to train, test, and use models without writing code

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

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

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

repo with challenge material for riceteacatpanda (2020)

A list of conferences connected with data worldwide.

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

The Go kernel for Jupyter notebooks and nteract.

PHP-ML - Machine Learning library for PHP

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

数据可视化分析平台，使用Java语言开发，采用浏览器/服务器架构，支持SQL、CSV、Excel、HTTP接口、JSON等多种数据源

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

repo for code published on pythondata.com

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Lending Club Loan data analysis

🎁 3,000,000+ Unsplash images made available for research and machine learning

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

A Portfolio of my Data Science Projects

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Tutorial: Web scraping in Python with Beautiful Soup

Visualizer for pandas data structures

Curated list of Python resources for data science.

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

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

Stock for Deep Learning and Machine Learning

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

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

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.

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

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

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

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

Support content for my blog

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

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Data augmentation for NLP

Collection of Artificial Intelligence projects.

Roadmap to becoming an Artificial Intelligence Expert in 2021

Datasets, tools, and benchmarks for representation learning of code.

Explore and analyse your Home Assistant data

NFStream: a Flexible Network Data Analysis Framework.

Best Practices on Recommendation Systems

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.