2664 Open source projects that are alternatives of or similar to Datacamp Python Data Science Track

Compilation of R and Python programming codes on the Data Professor YouTube channel.

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

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

🏖TagEditor - Annotation tool for spaCy

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

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

ADAM - A Question Answering System. Inspired from IBM Watson

AutoGluon: AutoML for Text, Image, and Tabular Data

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 …

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

brief introduction to Python for machine learning

A fast xgboost feature selection algorithm

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

📚 [.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

Data-centric declarative deep learning framework

A curated list of awesome Distributed Deep Learning resources.

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

How to use TensorLayer

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

model-describer : Making machine learning interpretable to humans

Open Machine Learning Course

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

🍊 📊 💡 Orange: Interactive data analysis

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

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.

AsyncIO serving for data science models

Association Rule Mining from Spatial Data for Crime Analysis

Code, Notebooks and Examples from Practical Business Python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

A collection of notebooks of my Machine Learning class written in python 3

Jun 2020 scikit-learn sprint

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

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

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

A guide to getting started with Data Science and ML.

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

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Python Cheat Sheet NumPy, Matplotlib

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

This repository provides everything you need to get started with Python for (social science) research.

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

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

An automatic ML model optimization tool.

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

A day to day plan for this challenge. Covers both theoritical and practical aspects

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🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

📚 Various cheatsheets in PDF

Concise deep learning for JAX

Spying using Smartwatch and Deep Learning

Web scrapping and related analytics using Python tools

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

This is Andrew NG Coursera Handwritten Notes.

a sklearn wrapper for Google's BERT model

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.