6641 Open source projects that are alternatives of or similar to Ds Take Home

Materials for GWU DNSC 6279 and DNSC 6290.

A Code-First Introduction to NLP course

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

The Go kernel for Jupyter notebooks and nteract.

CardIO is a library for data science research of heart signals

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

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

Curso de Data Science em Português

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.

Jupyter notebooks from the scikit-learn video series

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

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Probabilistic reasoning and statistical analysis in TensorFlow

Interactive reports to analyze machine learning models during validation or production monitoring.

experiments with python

Data science portfolio

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

Collection of useful data science topics along with code and articles

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

A simple probabilistic programming language.

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

¡Camino a una educación autodidacta en Ciencia de Datos!

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

SuperComputing 2017 Deep Learning Tutorial

Ways of doing Data Science Engineering and Machine Learning in R and Python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

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

The 3rd edition of course.fast.ai

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

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 probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Automatic extraction of relevant features from time series:

📘 The interactive computing suite for you! ✨

An ongoing list of pandas quirks

All course materials for the Zero to Mastery Machine Learning and Data Science course.

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Support content for my blog

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

Efficient Learning of Augmentation Policy Schedules

Introduction to Data Science

Python tools for data analysis

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

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

PyMC3 educational resources

The blog post about Kubeflow, including all materials

Create HTML profiling reports from pandas DataFrame objects

Quiz & Assignment of Coursera

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

CARTO Python package for data scientists

Quiz & Assignment of Coursera

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

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

Python training for business analysts and traders

A Julia machine learning framework